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A new Mule application has been deployed through Runtime Manager to CloudHub 1.0
using a CI/CD pipeline with sensitive properties set as cleartext. The Runtime Manager
Administrator opened a high priority incident ticket about this violation of their security
requirements indicating
these sensitive properties values must not be stored or visible in Runtime Manager but
should be changeable in Runtime Manager by Administrators with proper permissions.
How can the Mule application be deployed while safely hiding the sensitive properties?
the CI/CD
A. Add an ArrayList of all the sensitive properties’ names in the mule-artifact.json file ofthe application B. Add encrypted versions of the sensitive properties as global configuration properties inthe Mule application C. Add a new wrapper.java.additional.xx parameter for each sensitive property in thewrapper.conf file used by the CI/CD pipeline scripts D. Create a variable for each sensitive property and declare them as hidden in pipeline scripts
Answer: B
Explanation: To securely handle sensitive properties in a Mule application deployed
through a CI/CD pipeline, the properties should be encrypted and stored as global
configuration properties. This ensures that sensitive data is not visible in cleartext in
Runtime Manager or any other configuration files. The steps are:
Encrypt Sensitive Properties: Use a tool or process to encrypt sensitive property
values.
Global Configuration Properties: Store these encrypted values as global
configuration properties within the Mule application.
Configuration in Runtime Manager: Ensure that these properties are referenced
correctly so that administrators with proper permissions can manage them in
Runtime Manager without exposing the sensitive values.
This approach aligns with security best practices and complies with the requirement to hide
sensitive properties while allowing administrative control.
References
MuleSoft Documentation on Secure Property Placeholder
Best Practices for Handling Sensitive Data in MuleSoft
Question # 2
An organization if struggling frequent plugin version upgrades and external plugin project
dependencies. The team wants to minimize the impact on applications by creating best
practices that will define a set of default dependencies across all new and in progress
projects.
How can these best practices be achieved with the applications having the least amount of
responsibility?
A. Create a Mule plugin project with all the dependencies and add it as a dependencyin each application's POM.xml file B. Create a mule domain project with all the dependencies define in its POM.xml fileand add each application to the domain Project C. Add all dependencies in each application's POM.xml file D. Create a parent POM of all the required dependencies and reference each in each application's POM.xml file
Answer: D
Explanation:
Requirement Analysis: The organization wants to standardize dependencies
across all new and ongoing MuleSoft projects to minimize the impact of frequent
plugin version upgrades and external plugin project dependencies.
Solution: Creating a parent POM (Project Object Model) file with all required
dependencies and referencing it in each application's POM.xml file is the best
MuleSoft Documentation on Managing dependencies with Maven
Apache Maven Documentation on POM Reference
Question # 3
An organization is designing the following two Mule applications that must share data via a
common persistent object store instance:
- Mule application P will be deployed within their on-premises datacenter.
- Mule application C will run on CloudHub in an Anypoint VPC.
The object store implementation used by CloudHub is the Anypoint Object Store v2
(OSv2).
what type of object store(s) should be used, and what design gives both Mule applications
access to the same object store instance?
A. Application P uses the Object Store connector to access a persistent object storeApplication C accesses this persistent object store via the Object Store REST API throughan IPsec tunnel B. Application C and P both use the Object Store connector to access the Anypoint ObjectStore v2 C. Application C uses the Object Store connector to access a persistent object ApplicationP accesses the persistent object store via the Object Store REST API D. Application C and P both use the Object Store connector to access a persistent object store
Answer: C
Explanation: Explanation
Correct answer is Application A accesses the persistent object store via the Object Store
REST API Application B uses the Object Store connector to access a persistent object *
Object Store v2 lets CloudHub applications store data and states across batch processes,
Mule components and applications, from within an application or by using the Object Store
REST API. * On-premise Mule applications cannot use Object Store v2. * You can select
Object Store v2 as the implementation for Mule 3 and Mule 4 in CloudHub by checking the
Object Store V2 checkbox in Runtime Manager at deployment time. * CloudHub Mule
applications can use Object Store connector to write to the object store * The only way onpremises
Mule applications can access Object Store v2 is via the Object Store REST API. *
You can configure a Mule app to use the Object Store REST API to store and retrieve
values from an object store in another Mule app.
Question # 4
An organization has several APIs that accept JSON data over HTTP POST. The APIs are
all publicly available and are associated with several mobile applications and web
applications. The organization does NOT want to use any authentication or compliance
policies for these APIs, but at the same time, is worried that some bad actor could send
payloads that could somehow compromise the applications or servers running the API
implementations. What out-of-the-box Anypoint Platform policy can address exposure to
this threat?
A. Apply a Header injection and removal policy that detects the malicious data before it is used B. Apply an IP blacklist policy to all APIs; the blacklist will Include all bad actors C. Shut out bad actors by using HTTPS mutual authentication for all API invocations D. Apply a JSON threat protection policy to all APIs to detect potential threat vectors
Answer: D
Explanation: Explanation
We need to note few things about the scenario which will help us in reaching the correct
solution.
Point 1 : The APIs are all publicly available and are associated with several mobile
applications and web applications. This means Apply an IP blacklist policy is not viable
option. as blacklisting IPs is limited to partial web traffic. It can't be useful for traffic from
mobile application
Point 2 : The organization does NOT want to use any authentication or compliance policies
for these APIs. This means we can not apply HTTPS mutual authentication scheme.
Header injection or removal will not help the purpose.
By its nature, JSON is vulnerable to JavaScript injection. When you parse the JSON object,
the malicious code inflicts its damages. An inordinate increase in the size and depth of the
JSON payload can indicate injection. Applying the JSON threat protection policy can limit
the size of your JSON payload and thwart recursive additions to the JSON hierarchy.
Hence correct answer is Apply a JSON threat protection policy to all APIs to detect
potential threat vectors
Question # 5
Which key DevOps practice and associated Anypoint Platform component should a
MuteSoft integration team adopt to improve delivery quality?
A. A Continuous design with API Designer B. Automated testing with MUnit C. Passive monitoring with Anypoint Monitoring D. Manual testing with Anypoint Studio
Answer: B
Explanation: To improve delivery quality, a MuleSoft integration team should adopt
automated testing with MUnit. MUnit is MuleSoft's testing framework that allows developers
to create, design, and run unit and integration tests on their Mule applications. Automated
testing with MUnit ensures that each part of the Mule application is tested for correctness
and performance, catching issues early in the development cycle. This practice leads to
higher quality code, reduced defects, and more reliable integrations.
Other practices mentioned, such as continuous design with API Designer and passive
monitoring with Anypoint Monitoring, are important but do not directly address the need for
rigorous and automated testing to ensure quality.
References
MuleSoft Documentation on MUnit
Best Practices for Automated Testing with MUnit
Question # 6
Which component of Anypoint platform belongs to the platform control plane?
A. Runtime Fabric B. Runtime Replica C. Anypoint Connectors D. API Manager
Answer: D
Explanation: API Manager is a component of the Anypoint Platform's control plane. The
control plane in Anypoint Platform is responsible for managing, securing, and monitoring
APIs and integrations. API Manager specifically provides tools for API governance,
including policy enforcement, analytics, security, and lifecycle management. It allows
organizations to manage APIs centrally, ensuring they adhere to compliance and security
standards while providing insights into API usage and performance.
References:
Anypoint Platform Control Plane Managing APIs with API Manager
Question # 7
A system API EmployeeSAPI is used to fetch employee's data from an underlying SQL
database.
The architect must design a caching strategy to query the database only when there is an
update to the employees stable or else return a cached response in order to minimize the
number of redundant transactions being handled by the database.
What must the architect do to achieve the caching objective?
A. Use an On Table Row on employees table and call invalidate cacheUse an object store caching strategy and expiration interval to empty B. Use a Scheduler with a fixed frequency every hour triggering an invalidate cache flowUse an object store caching strategy and expiration interval to empty C. Use a Scheduler with a fixed frequency every hour triggering an invalidate cache flowUse an object store caching strategy and set expiration interval to 1-hour D. Use an on table rule on employees table call invalidate cache and said new employees data to cacheUse an object store caching strategy and set expiration interval to 1-hour
Answer: A
Explanation:
To achieve efficient caching and reduce redundant database transactions, the following
strategy can be implemented:
On Table Row Listener: Implement an "On Table Row" trigger on the employees'
table. This trigger will monitor changes (inserts, updates, deletes) in the employee
records.
Invalidate Cache: Upon detecting changes in the employees' table, the trigger will
call a flow to invalidate the current cache.
Object Store for Caching: Utilize MuleSoft's object store to cache the employee
data. This store can hold the data for quick retrieval.
Set Expiration Interval: Configure the expiration interval for the cached data to
ensure it is cleared when necessary. For this scenario, since we are invalidating
cache on actual data changes, setting the expiration interval to empty can be
suitable.
Return Cached Data: If there are no updates, the cached response is returned,
reducing database load.
References:
MuleSoft Documentation on Object Store
Caching Strategies
Question # 8
A mule application designed to fulfil two requirements
a) Processing files are synchronously from an FTPS server to a back-end database using
VM intermediary queues for load balancing VM events
b) Processing a medium rate of records from a source to a target system using batch job
scope
Considering the processing reliability requirements for FTPS files, how should VM queues
be configured for processing files as well as for the batch job scope if the application is
deployed to Cloudhub workers?
A. Use Cloud hub persistent queues for FTPS files processingThere is no need to configure VM queues for the batch jobs scope as it uses bydefault the worker's disc for VM queueing B. Use Cloud hub persistent VM queue for FTPS file processingThere is no need to configure VM queues for the batch jobs scope as it uses bydefault the worker's JVM memory for VM queueing C. Use Cloud hub persistent VM queues for FTPS file processingDisable VM queue for the batch job scope D. Use VM connector persistent queues for FTPS file processing Disable VM queue for the batch job scope
Answer: A
Explanation:
When processing files synchronously from an FTPS server to a back-end database using
VM intermediary queues for load balancing VM events on CloudHub, reliability is critical.
CloudHub persistent queues should be used for FTPS file processing to ensure that no
data is lost in case of worker failure or restarts. These queues provide durability and
reliability since they store messages persistently.
For the batch job scope, it is not necessary to configure additional VM queues. By default,
batch jobs on CloudHub use the worker's disk for VM queueing, which is reliable for
handling medium-rate records processing from a source to a target system. This approach
ensures that both FTPS file processing and batch job processing meet reliability
requirements without additional configuration for batch job scope.
References
MuleSoft Documentation on CloudHub and VM Queues
Anypoint Platform Best Practices
Question # 9
A mule application designed to fulfil two requirements
a) Processing files are synchronously from an FTPS server to a back-end database using
VM intermediary queues for load balancing VM events
b) Processing a medium rate of records from a source to a target system using batch job
scope
Considering the processing reliability requirements for FTPS files, how should VM queues
be configured for processing files as well as for the batch job scope if the application is
deployed to Cloudhub workers?
A. Use Cloud hub persistent queues for FTPS files processingThere is no need to configure VM queues for the batch jobs scope as it uses bydefault the worker's disc for VM queueing B. Use Cloud hub persistent VM queue for FTPS file processingThere is no need to configure VM queues for the batch jobs scope as it uses bydefault the worker's JVM memory for VM queueing C. Use Cloud hub persistent VM queues for FTPS file processingDisable VM queue for the batch job scope D. Use VM connector persistent queues for FTPS file processing Disable VM queue for the batch job scope
Answer: A
Explanation:
When processing files synchronously from an FTPS server to a back-end database using
VM intermediary queues for load balancing VM events on CloudHub, reliability is critical.
CloudHub persistent queues should be used for FTPS file processing to ensure that no
data is lost in case of worker failure or restarts. These queues provide durability and
reliability since they store messages persistently.
For the batch job scope, it is not necessary to configure additional VM queues. By default,
batch jobs on CloudHub use the worker's disk for VM queueing, which is reliable for
handling medium-rate records processing from a source to a target system. This approach
ensures that both FTPS file processing and batch job processing meet reliability
requirements without additional configuration for batch job scope.
References
MuleSoft Documentation on CloudHub and VM Queues
Anypoint Platform Best Practices
Question # 10
An organization is choosing between API-led connectivity and other integration
approaches.
According to MuleSoft, which business benefits is associated with an API-led connectivityapproach using Anypoint Platform? A. improved security through adoption of monolithic architectures B. Increased developer productivity through sell-service of API assets C. Greater project predictability through tight coupling of systems D. Higher outcome repeatability through centralized development
Answer: B
Explanation:
According to MuleSoft, a significant business benefit associated with an API-led
connectivity approach using Anypoint Platform is increased developer productivity through
self-service of API assets. API-led connectivity promotes the creation of reusable APIs that
can be easily discovered and consumed by developers across the organization. This selfservice
model reduces dependencies, accelerates development, and fosters innovation by
enabling teams to quickly build and integrate applications using existing APIs without
waiting for central IT to provide access.
References:
API-led Connectivity: The Key to Unlocking IT Agility
Benefits of API-led Connectivity
Question # 11
A Mule application is being designed To receive nightly a CSV file containing millions of
records from an external vendor over SFTP, The records from the file need to be validated,
transformed. And then written to a database. Records can be inserted into the database in
any order.
In this use case, what combination of Mule components provides the most effective and
performant way to write these records to the database?
A. Use a Parallel for Each scope to Insert records one by one into the database B. Use a Scatter-Gather to bulk insert records into the database C. Use a Batch job scope to bulk insert records into the database. D. Use a DataWeave map operation and an Async scope to insert records one by one into the database.
Answer: C
Explanation: Explanation
Correct answer is Use a Batch job scope to bulk insert records into the database
* Batch Job is most efficient way to manage millions of records.
A few points to note here are as follows :
Reliability: If you want reliabilty while processing the records, i.e should the processing
survive a runtime crash or other unhappy scenarios, and when restarted process all the
remaining records, if yes then go for batch as it uses persistent queues.
Error Handling: In Parallel for each an error in a particular route will stop processing the
remaining records in that route and in such case you'd need to handle it using on error
continue, batch process does not stop during such error instead you can have a step for
failures and have a dedicated handling in it.
Memory footprint: Since question said that there are millions of records to process, parallel
for each will aggregate all the processed records at the end and can possibly cause Out Of
Memory.
Batch job instead provides a BatchResult in the on complete phase where you can get the
count of failures and success. For huge file processing if order is not a concern definitely
go ahead with Batch Job
Question # 12
What aspects of a CI/CD pipeline for Mule applications can be automated using MuleSoftprovided
Maven plugins?
A. Compile, package, unit test, validate unit test coverage, deploy B. Compile, package, unit test, deploy, integration test (Incorrect) C. Compile, package, unit test, deploy, create associated API instances in API Manager D. Import from API designer, compile, package, unit test, deploy, publish to Anypoint Exchange
Answer: A
Explanation: Explanation
Correct answer is "Compile, package, unit test, validate unit test coverage, deploy"
Explanation : Anypoint Platform supports continuous integration and continuous delivery
using industry standard tools Mule Maven Plugin The Mule Maven plugin can automate building, packaging and deployment of Mule applications from source projects Using the
Mule Maven plugin, you can automate your Mule application deployment to CloudHub, to
Anypoint Runtime Fabric, or on-premises, using any of the following deployment strategies
plugin can automate test execution, and ties in with the Mule Maven plugin. It provides a
full suite of integration and unit test capabilities, and is fully integrated with Maven and
Surefire for integration with your continuous deployment environment. Since MUnit 2.x, the
coverage report goal is integrated with the maven reporting section. Coverage Reports are
generated during Maven’s site lifecycle, during the coverage-report goal. One of the
features of MUnit Coverage is to fail the build if a certain coverage level is not reached.
MUnit is not used for integration testing Also publishing to Anypoint Exchange or to create
associated API instances in API Manager is not a part of CICD pipeline which can ne
achieved using mulesoft provided maven plugin
Explanation
Architecture mentioned in the question can be diagrammatically put as below. Persistent
Object Store is the correct answer .
* Mule Object Stores: An object store is a facility for storing objects in or across Mule
applications. Mule uses object stores to persist data for eventual retrieval.
Mule provides two types of object stores:
1) In-memory store – stores objects in local Mule runtime memory. Objects are lost on
shutdown of the Mule runtime. So we cant use in memory store in our scenario as we want
to share watermark within all cloudhub workers
2) Persistent store – Mule persists data when an object store is explicitly configured to be
Question # 13
An organization’s IT team must secure all of the internal APIs within an integration solution by using an API proxy to apply required authentication and authorization policies. Which integration technology, when used for its intended purpose, should the team choose to meet these requirements if all other relevant factors are equal?
A. API Management (APIM) B. Robotic Process Automation (RPA) C. Electronic Data Interchange (EDI) D. Integration Platform-as-a-service (PaaS)
Answer: A
Explanation: To secure all internal APIs within an integration solution by using an API
proxy to apply required authentication and authorization policies, the organization should
use API Management (APIM). APIM provides a comprehensive platform to manage,
secure, and analyze APIs. It allows the IT team to create API proxies, enforce security
policies, control access through authentication and authorization mechanisms, and monitor
API usage.
Using APIM for this purpose ensures that internal APIs are protected with standardized
security policies, facilitating centralized management and governance of API traffic. This
approach is specifically designed for managing APIs and their security, making it the most
suitable choice among the options provided.
References
MuleSoft Documentation on API Management
Best Practices for API Security and Governance
Question # 14
An integration team uses Anypoint Platform and follows MuleSoft's recommended
approach to full lifecycle API development.
Which step should the team's API designer take before the API developers implement the
AP! Specification?
A. Generate test cases using MUnit so the API developers can observe the results ofrunning the API B. Use the scaffolding capability of Anypoint Studio to create an API portal based on theAPI specification C. Publish the API specification to Exchange and solicit feedback from the API'sconsumers D. Use API Manager to version the API specification
Answer: C
Explanation: Before API developers implement the API specification, it is crucial for the
API designer to publish the API specification to Anypoint Exchange and solicit feedback
from the API's consumers. This step aligns with MuleSoft's recommended approach to full
lifecycle API development, which emphasizes collaboration and feedback to ensure the API
meets the needs and expectations of its consumers.
Generating test cases, creating an API portal, and versioning the API specification are
important steps in the development lifecycle, but soliciting feedback ensures that any
potential issues or improvements are identified early in the process. This collaborative
approach helps in building a more effective and consumer-friendly API.
References
MuleSoft API Design Best Practices
Anypoint Platform Documentation on API Development Lifecycle
Question # 15
An organization's governance process requires project teams to get formal approval from
all key stakeholders for all new Integration design specifications. An integration Mule
application Is being designed that interacts with various backend systems. The Mule
application will be created using Anypoint Design Center or Anypoint Studio and will then
be deployed to a customer-hosted runtime.
What key elements should be included in the integration design specification when
requesting approval for this Mule application?
A. SLAs and non-functional requirements to access the backend systems B. Snapshots of the Mule application's flows, including their error handling C. A list of current and future consumers of the Mule application and their contact details D. The credentials to access the backend systems and contact details for the administratorof each system
Answer: A
Explanation: SLAs and non-functional requirements to access the backend systems. Only
this option actually speaks to design parameters and reqs. * Below two are technical
implementations and not the part of design: - Snapshots of the Mule application’s flows,
including their error handling - The credentials to access the backend systems and contact
details for the administrator of each system * List of consumers is not relevant to the design
Question # 16
Refer to the exhibit.
One of the backend systems invoked by an API implementation enforces rate limits on the
number of requests a particular client can make. Both the backend system and the API
implementation are deployed to several non-production environments in addition to
production.
Rate limiting of the backend system applies to all non-production environments. The
production environment, however, does NOT have any rate limiting.
What is the most effective approach to conduct performance tests of the API
implementation in a staging (non-production) environment?
A. Create a mocking service that replicates the backend system's production performancecharacteristics. Then configure the API implementation to use the mocking service andconduct the performance tests B. Use MUnit to simulate standard responses from the backend system then conductperformance tests to identify other bottlenecks in the system C. Include logic within the API implementation that bypasses invocations of the backendsystem in a performance test situation. Instead invoking local stubs that replicate typicalbackend system responses then conduct performance tests using this API Implementation D. Conduct scaled-down performance tests in the staging environment against the ratelimited backend system then upscale performance results to full production scale
Answer: A
Explanation: Explanation
Correct answer is Create a mocking service that replicates the backend system’s
production performance characteristics. Then configure the API implementation to use the
mocking service and conduct the performance tests
* MUnit is for only Unit and integration testing for APIs and Mule apps. Not for performance
Testing, even if it has the ability to Mock the backend.
* Bypassing the backend invocation defeats the whole purpose of performance testing.
Hence it is not a valid answer.
* Scaled down performance tests cant be relied upon as performance of API's is not linear
against load.
Question # 17
According to MuleSoft’s recommended REST conventions, which HTTP method should an
API use to specify how AP\ clients can request data from a specified resource?
A. POST B. PUT C. PATCH D. GET
Answer: D
Explanation: According to MuleSoft’s recommended REST conventions, the HTTP
method GET should be used to specify how API clients can request data from a specified
resource. The GET method is designed to retrieve data from a server at the specified
resource. It is one of the most common HTTP methods used in RESTful APIs, ensuring
that data retrieval is performed without any side effects on the server or resource.
References:
MuleSoft REST API Design Best Practices
HTTP Methods in RESTful Services
Question # 18
An API client makes an HTTP request to an API gateway with an Accept header containing
the value’’ application’’.
What is a valid HTTP response payload for this request in the client requested data format?
A. <status>healthy</status> B. {"status" "healthy"} C. status(‘healthy") D. status: healthy
Answer: B
Explanation: When an API client makes an HTTP request to an API gateway with an
Accept header containing the value "application/json", the valid HTTP response payload
should be in JSON format. The correct JSON format for indicating a healthy status is
{"status": "healthy"}. This format uses a JSON object with a key-value pair where the key
is "status" and the value is "healthy".
Other options provided are not valid JSON responses:
<status>healthy</status> is XML format.
status('healthy') and status: healthy are not valid JSON syntax.
References
HTTP Content Negotiation and Accept Headers
JSON Formatting and Syntax Rules
Question # 19
An external REST client periodically sends an array of records in a single POST request to
a Mule application API endpoint.
The Mule application must validate each record of the request against a JSON schema
before sending it to a downstream system in the same order that it was received in the
array
Record processing will take place inside a router or scope that calls a child flow. The child
flow has its own error handling defined. Any validation or communication failures should not
prevent further processing of the remaining records.
To best address these requirements what is the most idiomatic(used for it intended
purpose) router or scope to used in the parent flow, and what type of error handler should
be used in the child flow?
A. First Successful router in the parent flow On Error Continue error handler in the child flow B. For Each scope in the parent flow On Error Continue error handler in the child flow C. Parallel For Each scope in the parent flow On Error Propagate error handler in the child flow D. Until Successful router in the parent flow On Error Propagate error handler in the child flow
Answer: B
Explanation: Explanation
Correct answer is For Each scope in the parent flow On Error Continue error handler in the
child flow. You can extract below set of requirements from the question a) Records should
be sent to downstream system in the same order that it was received in the array b) Any
validation or communication failures should not prevent further processing of the remaining
records First requirement can be met using For Each scope in the parent flow and second
requirement can be met using On Error Continue scope in child flow so that error will be
suppressed.
Question # 20
An insurance provider is implementing Anypoint platform to manage its application
infrastructure and is using the customer hosted runtime for its business due to certain
financial requirements it must meet. It has built a number of synchronous API's and is
currently hosting these on a mule runtime on one server
These applications make use of a number of components including heavy use of object
stores and VM queues.
Business has grown rapidly in the last year and the insurance provider is starting to receive
reports of reliability issues from its applications.
The DevOps team indicates that the API's are currently handling too many requests and
this is over loading the server. The team has also mentioned that there is a significant
downtime when the server is down for maintenance.
As an integration architect, which option would you suggest to mitigate these issues?
A. Add a load balancer and add additional servers in a server group configuration B. Add a load balancer and add additional servers in a cluster configuration C. Increase physical specifications of server CPU memory and network D. Change applications by use an event-driven model
Answer: B
Explanation:
To address the reliability and scalability issues faced by the insurance provider, adding a load balancer and configuring additional servers in a cluster configuration is the optimal
solution. Here's why:
Load Balancing: Implementing a load balancer will help distribute incoming API
requests evenly across multiple servers. This prevents any single server from
becoming a bottleneck, thereby improving the overall performance and reliability of
the system.
Cluster Configuration: By setting up a cluster configuration, you ensure that
multiple servers work together as a single unit. This provides several benefits:
Maintenance: With a cluster configuration, servers can be taken offline for
maintenance one at a time without affecting the overall availability of the
applications, as the load balancer can redirect traffic to the remaining servers.
VM Queues and Object Stores: In a clustered environment, the use of VM queues
and object stores can be more efficiently managed as these resources are
distributed across multiple servers, reducing the risk of contention and improving
A company is implementing a new Mule application that supports a set of critical functions
driven by a rest API enabled, claims payment rules engine hosted on oracle ERP. As
designed the mule application requires many data transformation operations as it performs
its batch processing logic.
The company wants to leverage and reuse as many of its existing java-based capabilities
(classes, objects, data model etc.) as possible
What approach should be considered when implementing required data mappings and
transformations between Mule application and Oracle ERP in the new Mule application?
A. Create a new metadata RAML classes in Mule from the appropriate Java objects and then perform transformations via Dataweave B. From the mule application, transform via theXSLT model C. Transform by calling any suitable Java class from Dataweave D. Invoke any of the appropriate Java methods directly, create metadata RAML classes and then perform required transformations via Dataweave
Answer: C
Explanation: Leveraging existing Java-based capabilities for data transformations in a
Mule application can enhance efficiency and reuse. Here’s how to integrate Java classes
for transformations:
Create Java Classes:
Configure DataWeave to Call Java Methods:
%dw 2.0 import * from my.package.ClassName output application/json --- {
transformedData: ClassName::methodName(payload) }
Perform Transformations:
Test Transformations:
This approach allows for seamless integration of existing Java logic into Mule applications,
leveraging DataWeave’s power for comprehensive data transformations.
References
MuleSoft Documentation: DataWeave and Java Integration
MuleSoft Documentation: Using Java with Mule
Question # 22
According to MuleSoft, which system integration term describes the method, format, and
protocol used for communication between two system?
A. Component B. interaction C. Message D. Interface
Answer: D
Explanation: According to MuleSoft, the term "interface" describes the method, format,
and protocol used for communication between two systems. An interface defines how
systems interact, specifying the data formats (e.g., JSON, XML), protocols (e.g., HTTP,
FTP), and methods (e.g., GET, POST) that are used to exchange information. Properly
designed interfaces ensure compatibility and seamless communication between integrated
systems.
References:
MuleSoft Glossary of Integration Terms
System Interfaces and APIs
Question # 23
A Mule application contains a Batch Job scope with several Batch Step scopes. The Batch
Job scope is configured with a batch block size of 25.
A payload with 4,000 records is received by the Batch Job scope.
When there are no errors, how does the Batch Job scope process records within and
between the Batch Step scopes?
A. The Batch Job scope processes multiple record blocks in parallel, and a block of 25records can jump ahead to the next Batch Step scope over an earlier block of recordsEach Batch Step scope is invoked with one record in the payload of the received Mule eventFor each Batch Step scope, all 25 records within a block are processed in parallelAll the records in a block must be completed before the block of 25 records is available tothe next Batch Step scope B. The Batch Job scope processes each record block sequentially, one at a timeEach Batch Step scope is invoked with one record in the payload of the received Mule eventFor each Batch Step scope, all 25 records within a block are processed sequentially, one at a timeAll 4000 records must be completed before the blocks of records are available to the next Batch Step scope C. The Batch Job scope processes multiple record blocks in parallel, and a block of 25records can jump ahead to the next Batch Step scope over an earlier block of recordsEach Batch Step scope is invoked with one record in the payload of the received MuleeventFor each Batch Step scope, all 25 records within a block are processed sequentially, onerecord at a timeAll the records in a block must be completed before the block of 25 records is available tothe next Batch Step scope D. The Batch Job scope processes multiple record blocks in parallelEach Batch Step scope is invoked with a batch of 25 records in the payload of the receivedMule eventFor each Batch Step scope, all 4000 records are processed in parallelIndividual records can jump ahead to the next Batch Step scope before the rest of therecords finish processing in the current Batch Step scope
A stock trading company handles millions of trades a day and requires excellent
performance and reliability within its stock trading system. The company operates a
number of event-driven APIs Implemented as Mule applications that are hosted on various
customer-hosted Mule clusters and needs to enable message exchanges between the
APIs within their internal network using shared message queues.
What is an effective way to meet the cross-cluster messaging requirements of its eventdriven
APIs?
A. Non-transactional JMS operations with a reliability pattern and manual acknowledgements B. Persistent VM queues with automatic acknowledgements C. JMS transactions with automatic acknowledgements D. extended Architecture (XA) transactions and XA connected components with manual acknowledgements
Answer: C
Explanation:
JMS (Java Message Service): JMS is a robust messaging standard that supports
reliable and asynchronous communication. It allows message producers and
consumers to exchange messages via a common message broker.
Transactions with Automatic Acknowledgements: Utilizing JMS transactions
ensures that messages are processed reliably. The automatic acknowledgement
mode means that once the consumer receives the message, it acknowledges the
broker automatically, ensuring that no messages are lost.
Performance and Reliability: JMS transactions offer both high performance and
reliability. By enabling transactions, each message processing step can be
committed or rolled back, ensuring data integrity.
Cross-Cluster Messaging: For a stock trading company dealing with millions of
trades, using JMS transactions allows for consistent and reliable message delivery
across different clusters in their network. This approach is more suitable compared
to non-transactional or VM queues due to the scale and reliability requirements.
Event-Driven APIs: The APIs can leverage the transactional nature of JMS to
ensure that messages exchanged between different services are reliable and can
recover gracefully from failures.
References:
MuleSoft Documentation on JMS Connector: MuleSoft JMS Connector
JMS 2.0 Specification: Oracle JMS 2.0
Question # 25
A REST API is being designed to implement a Mule application.
What standard interface definition language can be used to define REST APIs?
A. Web Service Definition Language(WSDL) B. OpenAPI Specification (OAS) C. YAML D. AsyncAPI Specification
Answer: B
Question # 26
When using Anypoint Platform across various lines of business with their own Anypoint
Platform business groups, what configuration of Anypoint Platform is always performed at
the organization level as opposed to at the business group level?
A. Environment setup B. Identity management setup C. Role and permission setup D. Dedicated Load Balancer setup
Answer: B
Explanation: Explanation
* Roles are business group specific. Configure identity management in the Anypoint
Platform master organization. As the Anypoint Platform organization administrator, you can
configure identity management in Anypoint Platform to set up users for single sign-on
(SSO). * Roles and permissions can be set up at business group and organization level
also. But Identity Management setup is only done at Organization level * Business groups
are self-contained resource groups that contain Anypoint Platform resources such as
applications and APIs. Business groups provide a way to separate and control access to
Anypoint Platform resources because users have access only to the busine
Question # 27
Refer to the exhibit.
Anypoint Platform supports role-based access control (RBAC) to features of the platform.
An organization has configured an external Identity Provider for identity management with
Anypoint Platform.
What aspects of RBAC must ALWAYS be controlled from the Anypoint Platform control
plane and CANNOT be controlled via the external Identity Provider?
A. Controlling the business group within Anypoint Platform to which the user belongs B. Assigning Anypoint Platform permissions to a role C. Assigning Anypoint Platform role(s) to a user D. Removing a user's access to Anypoint Platform when they no longer work for the organization
Answer: B
Explanation: Explanation
* By default, Anypoint Platform performs its own user management
– For user management, one external IdP can be integrated with the Anypoint Platform
organization (note: not at business group level)
– Permissions and access control are still enforced inside Anypoint Platform and CANNOT
be controlled via the external Identity Provider * As the Anypoint Platform organization
administrator, you can configure identity management in Anypoint Platform to set up users
for single sign-on (SSO). * You can map users in a federated organization’s group to a role
which also gives the flexibility of controlling the business group within Anypoint Platform to
which the user belongs to. Also user can nbe removed from external identity management
system when they no longer work for the organization. So they wont be able to authenticate
using SSO to login to Anypoint Platform. * Using external identity we can no change
permissions of a particular role in Mulesoft Anypoint platform.
* So Correct answer is Assigning Anypoint Platform permissions to a role
Question # 28
An organization uses a four(4) node customer hosted Mule runtime cluster to host one(1)
stateless api implementation. The API is accessed over HTTPS through a load balancer
that uses round-robin for load distribution. Each node in the cluster has been sized to be
able to accept four(4) times the current number of requests.
Two(2) nodes in the cluster experience a power outage and are no longer available. The
load balancer directs the outage and blocks the two unavailable the nodes from receiving
further HTTP requests.
What performance-related consequence is guaranteed to happen to average, assuming the
remaining cluster nodes are fully operational?
A. 100% increase in the average response time of the API B. 50% reduction in the throughput of the API C. 100% increase in the number of requests received by each remaining node D. 50% increase in the JVM heap memory consumed by each remaining node
Answer: A
Explanation: * "100% increase in the throughput of the API" might look correct, as the
number of requests processed per second might increase, but is it guaranteed to increase
by 100%? Using 4 nodes will definitely increase throughput of system. But it is cant be
precisely said if there would be 100% increase in throughput as it depends on many other
factors. Also it is nowhere mentioned in the description that all nodes have same
CPU/memory assigned. The question is about the guaranteed behavior * Increasing
number of nodes will have no impact on response time as we are scaling application
horizontally and not vertically. Similarly there is no change in JVM heap memory usage. *
So Correct answer is 50% reduction in the number of requests being received by each
node This is because of the two reasons. 1) API is mentioned as stateless 2) Load
Balancer is used
Question # 29
A Mule application is running on a customer-hosted Mule runtime in an organization's
network. The Mule application acts as a producer of asynchronous Mule events. Each Mule
event must be broadcast to all interested external consumers outside the Mule application.
The Mule events should be published in a way that is guaranteed in normal situations and
also minimizes duplicate delivery in less frequent failure scenarios.
The organizational firewall is configured to only allow outbound traffic on ports 80 and 443.
Some external event consumers are within the organizational network, while others are
located outside the firewall.
What Anypoint Platform service is most idiomatic (used for its intended purpose) for
publishing these Mule events to all external consumers while addressing the desired
reliability goals?
A. CloudHub VM queues B. Anypoint MQ C. Anypoint Exchange D. CloudHub Shared Load Balancer
Answer: B
Explanation:
Set the Anypoint MQ connector operation to publish or consume messages, or to accept
An organization is designing an integration solution to replicate financial transaction data
from a legacy system into a data warehouse (DWH).
The DWH must contain a daily snapshot of financial transactions, to be delivered as a CSV
file. Daily transaction volume exceeds tens of millions of records, with significant spikes in volume during popular shopping periods.
What is the most appropriate integration style for an integration solution that meets the
organization's current requirements?
A. Event-driven architecture B. Microservice architecture C. API-led connectivity D. Batch-triggered ETL
Answer: D
Explanation: Explanation
Correct answer is Batch-triggered ETL Within a Mule application, batch processing
provides a construct for asynchronously processing larger-than-memory data sets that are
split into individual records. Batch jobs allow for the description of a reliable process that
automatically splits up source data and stores it into persistent queues, which makes it
possible to process large data sets while providing reliability. In the event that the
application is redeployed or Mule crashes, the job execution is able to resume at the point it
stopped.
Question # 31
An architect is designing a Mule application to meet the following two requirements:
1. The application must process files asynchronously and reliably from an FTPS server to a
back-end database using VM intermediary queues for
load-balancing Mule events.
2. The application must process a medium rate of records from a source to a target system
using a Batch Job scope.
To make the Mule application more reliable, the Mule application will be deployed to two
CloudHub 1.0 workers.
Following MuleSoft-recommended best practices, how should the Mule application
deployment typically be configured in Runtime Manger to best
support the performance and reliability goals of both the Batch Job scope and the file
processing VM queues?
A. Check the Persistent VM queues checkbox in the application deployment configuration B. Check the Non-persistent VM queues checkbox in the application deployment configuration C. In the Runtime Manager Properties tab, disable persistent VM queues for Batch Job scopes D. In the Runtime Manager Properties tab, enable persistent VM queues for the FTPS connector
Answer: A
Explanation:
Requirements:
Persistent VM Queues:
MuleSoft Best Practices:
Configuration in Runtime Manager:
References:
MuleSoft Documentation on VM Queues: VM Queues
MuleSoft Best Practices: MuleSoft Best Practices
CloudHub Deployment Guide: CloudHub Deployment
Question # 32
An architect is designing a Mule application to meet the following two requirements:
1. The application must process files asynchronously and reliably from an FTPS server to a
back-end database using VM intermediary queues for
load-balancing Mule events.
2. The application must process a medium rate of records from a source to a target system
using a Batch Job scope.
To make the Mule application more reliable, the Mule application will be deployed to two
CloudHub 1.0 workers.
Following MuleSoft-recommended best practices, how should the Mule application
deployment typically be configured in Runtime Manger to best
support the performance and reliability goals of both the Batch Job scope and the file
processing VM queues?
A. Check the Persistent VM queues checkbox in the application deployment configuration B. Check the Non-persistent VM queues checkbox in the application deployment configuration C. In the Runtime Manager Properties tab, disable persistent VM queues for Batch Job scopes D. In the Runtime Manager Properties tab, enable persistent VM queues for the FTPS connector
Answer: A
Explanation:
Requirements:
Persistent VM Queues:
MuleSoft Best Practices:
Configuration in Runtime Manager:
References:
MuleSoft Documentation on VM Queues: VM Queues
MuleSoft Best Practices: MuleSoft Best Practices
CloudHub Deployment Guide: CloudHub Deployment
Question # 33
Cloud Hub is an example of which cloud computing service model?
A. Platform as a Service (PaaS) B. Software as a Service (SaaS) C. Monitoring as a Service (MaaS) D. Infrastructure as a Service (laaS)
Answer: A
Explanation: CloudHub, part of MuleSoft's Anypoint Platform, is an example of a Platform
as a Service (PaaS) offering. PaaS provides a cloud-based platform that allows developers
to build, deploy, and manage applications without dealing with the complexities of
maintaining the underlying infrastructure. CloudHub provides the necessary tools and
services to develop and deploy Mule applications and APIs in the cloud, offering features
such as scalability, high availability, monitoring, and management. This allows developers
to focus on writing code and developing applications rather than managing servers and
infrastructure.
References
MuleSoft CloudHub Documentation
Overview of Cloud Computing Service Models
Question # 34
A Mule application is being designed for deployment to a single CloudHub worker. The
Mule application will have a flow that connects to a SaaS system to perform some
operations each time the flow is invoked.
The SaaS system connector has operations that can be configured to request a short-lived
token (fifteen minutes) that can be reused for subsequent connections within the fifteen
minute time window. After the token expires, a new token must be requested and stored. What is the most performant and idiomatic (used for its intended purpose) Anypoint
Platform component or service to use to support persisting and reusing tokens in the Mule
application to help speed up reconnecting the Mule application to the SaaS application?
A. Nonpersistent object store B. Persistent object store C. Variable D. Database
Insurance organization is planning to deploy Mule application in MuleSoft Hosted runtime
plane. As a part of requirement , application should be scalable . highly available. It also
has regulatory requirement which demands logs to be retained for at least 2 years. As an
Integration Architect what step you will recommend in order to achieve this?
A. It is not possible to store logs for 2 years in CloudHub deployment. External log management system is required. B. When deploying an application to CloudHub , logs retention period should be selected as 2 years C. When deploying an application to CloudHub, worker size should be sufficient to store 2 years data D. Logging strategy should be configured accordingly in log4j file deployed with the application.
Answer: A
Explanation: Explanation
Correct answer is It is not possible to store logs for 2 years in CloudHub deployment.
External log management system is required. CloudHub has a specific log retention policy,
as described in the documentation: the platform stores logs of up to 100 MB per app & per
worker or for up to 30 days, whichever limit is hit first. Once this limit has been reached, the
oldest log information is deleted in chunks and is irretrievably lost. The recommended
approach is to persist your logs to a external logging system of your choice (such as
Splunk, for instance) using a log appender. Please note that this solution results in the logs
no longer being stored on our platform, so any support cases you lodge will require for you
to provide the appropriate logs for review and case resolution
Question # 36
According to MuleSoft, which deployment characteristic applies to a microservices
application architecture?
A. Services exist as independent deployment artifacts and can be scaled -independently of other services B. All services of an application can be deployed together as single Java WAR file C. A deployment to enhance one capability requires a redeployment of all capabilities D. Core business capabilities are encapsulated in a single, deployable application
Answer: A
Explanation: In a microservices application architecture, each service is designed to be an
independent deployment artifact. This means that services can be deployed, updated, and
scaled independently of one another. This characteristic allows for greater flexibility and
agility in managing applications, as individual services can be scaled up or down based on
demand without impacting other services. It also enhances fault isolation, as issues in one
service do not necessarily affect the entire application.
This is in contrast to monolithic architectures, where all components are packaged and
deployed together, often resulting in a single point of failure and difficulties in scaling and
updating specific parts of the application.
References
MuleSoft Documentation on Microservices Architecture
Principles of Microservices Design
Question # 37
An integration Mute application is being designed to process orders by submitting them to a
backend system for offline processing. Each order will be received by the Mute application
through an HTTPS POST and must be acknowledged immediately. Once acknowledged,
the order will be submitted to a backend system. Orders that cannot be successfully
submitted due to rejections from the backend system will need to be processed manually
(outside the backend system).
The Mule application will be deployed to a customer-hosted runtime and is able to use an
existing ActiveMQ broker if needed.
The backend system has a track record of unreliability both due to minor network
connectivity issues and longer outages.
What idiomatic (used for their intended purposes) combination of Mule application
components and ActiveMQ queues are required to ensure automatic submission of orders
to the backend system, while minimizing manual order processing?
A. An On Error scope Non-persistent VM ActiveMQ Dead Letter Queue for manual processing B. An On Error scope MuleSoft Object Store ActiveMQ Dead Letter Queue for manual processing C. Until Successful component MuleSoft Object Store ActiveMQ is NOT needed or used D. Until Successful component ActiveMQ long retry Queue ActiveMQ Dead Letter Queue for manual processing
Answer: D
Explanation: Explanation
Correct answer is using below set of activities Until Successful component ActiveMQ long
retry Queue ActiveMQ Dead Letter Queue for manual processing We will see why this is
correct answer but before that lets understand few of the concepts which we need to know.
Until Successful Scope The Until Successful scope processes messages through its
processors until the entire operation succeeds. Until Successful repeatedly retries to
process a message that is attempting to complete an activity such as: - Dispatching to
outbound endpoints, for example, when calling a remote web service that may have
availability issues. - Executing a component method, for example, when executing on a
Spring bean that may depend on unreliable resources. - A sub-flow execution, to keep reexecuting
several actions until they all succeed, - Any other message processor execution, to allow more complex scenarios. How this will help requirement : Using Until Successful
Scope we can retry sending the order to backend systems in case of error to avoid manual
processing later. Retry values can be configured in Until Successful Scope Apache
ActiveMQ It is an open source message broker written in Java together with a full Java
Message Service client ActiveMQ has the ability to deliver messages with delays thanks to
its scheduler. This functionality is the base for the broker redelivery plug-in. The redelivery
plug-in can intercept dead letter processing and reschedule the failing messages for
redelivery. Rather than being delivered to a DLQ, a failing message is scheduled to go to
the tail of the original queue and redelivered to a message consumer. How this will help
requirement : If backend application is down for a longer duration where Until Successful
Scope wont work, then we can make use of ActiveMQ long retry Queue. The redelivery
plug-in can intercept dead letter processing and reschedule the failing messages for
The purpose of API to fetch the customer account balances from the backend application
and display them on the online platform the online banking platform. The online banking
platform will send an array of accounts to Mule API get the account balances.
As a part of the processing the Mule API needs to insert the data into the database for
auditing purposes and this process should not have any performance related implications
on the account balance retrieval flow
How should this requirement be implemented to achieve better throughput?
A. Implement the Async scope fetch the data from the backend application and to insert records in the Audit database B. Implement a for each scope to fetch the data from the back-end application and to insert records into the Audit database C. Implement a try-catch scope to fetch the data from the back-end application and use the Async scope to insert records into the Audit database D. Implement parallel for each scope to fetch the data from the backend application and use Async scope to insert the records into the Audit database
Answer: C
Explanation:
Try-Catch Scope for Data Fetching:
Async Scope for Inserting Records into Audit Database:
Ensuring Better Throughput:
References:
MuleSoft Documentation on Async Scope
Question # 39
A Mule application currently writes to two separate SQL Server database instances across
the internet using a single XA transaction. It is 58. proposed to split this one transaction into
two separate non-XA transactions with no other changes to the Mule application.
What non-functional requirement can be expected to be negatively affected when
implementing this change?
A. Throughput B. Consistency C. Response time D. Availability
Answer: B
Explanation: Explanation
Correct answer is Consistency as XA transactions are implemented to achieve this. XA
transactions are added in the implementation to achieve goal of ACID properties. In the
context of transaction processing, the acronym ACID refers to the four key properties of a
transaction: atomicity, consistency, isolation, and durability. Atomicity : All changes to data
are performed as if they are a single operation. That is, all the changes are performed, or
none of them are. For example, in an application that transfers funds from one account to
another, the atomicity property ensures that, if a debit is made successfully from one
account, the corresponding credit is made to the other account. Consistency : Data is in a
consistent state when a transaction starts and when it ends.For example, in an application
that transfers funds from one account to another, the consistency property ensures that the total value of funds in both the accounts is the same at the start and end of each
transaction. Isolation : The intermediate state of a transaction is invisible to other
transactions. As a result, transactions that run concurrently appear to be serialized. For
example, in an application that transfers funds from one account to another, the isolation
property ensures that another transaction sees the transferred funds in one account or the
other, but not in both, nor in neither. Durability : After a transaction successfully completes,
changes to data persist and are not undone, even in the event of a system failure. For
example, in an application that transfers funds from one account to another, the durability
property ensures that the changes made to each account will not be reversed. MuleSoft
A Mule application is synchronizing customer data between two different database systems.
What is the main benefit of using eXtended Architecture (XA) transactions over local
transactions to synchronize these two different database systems?
A. An XA transaction synchronizes the database systems with the least amount of Mule configuration or coding B. An XA transaction handles the largest number of requests in the shortest time C. An XA transaction automatically rolls back operations against both database systems if any operation falls D. An XA transaction writes to both database systems as fast as possible
A travel company wants to publish a well-defined booking service API to be shared with its
business partners. These business partners have agreed to ONLY consume SOAP
services and they want to get the service contracts in an easily consumable way before
they start any development. The travel company will publish the initial design documents to
Anypoint Exchange, then share those documents with the business partners. When using
an API-led approach, what is the first design document the travel company should deliver
to its business partners?
A. Create a WSDL specification using any XML editor B. Create a RAML API specification using any text editor C. Create an OAS API specification in Design Center D. Create a SOAP API specification in Design Center
Answer: A
Explanation: SOAP API specifications are provided as WSDL. Design center doesn't
provide the functionality to create WSDL file. Hence WSDL needs to be created using XML editor
Question # 42
Refer to the exhibit.
This Mule application is deployed to multiple Cloudhub workers with persistent queue
enabled. The retrievefile flow event source reads a CSV file from a remote SFTP server
and then publishes each record in the CSV file to a VM queue. The
processCustomerRecords flow’s VM Listner receives messages from the same VM queue
and then processes each message separately. How are messages routed to the cloudhub workers as messages are received by the VM
Listener?
A. Each message is routed to ONE of the Cloudhub workers in a DETERMINSTIC roundrobin fashion thereby EXACTLY BALANCING messages among the cloudhub workers B. Each messages routes to ONE of the available Clouhub workers in a NONDETERMINSTICnon round-robin fashion thereby APPROXIMATELY BALANCINGmessages among the cloudhub workers C. Each message is routed to the SAME Cloudhub worker that retrieved the file, therebyBINDING ALL messages to ONLY that ONE Cloudhub worker D. Each message is duplicated to ALL of the Cloudhub workers, thereby SHARING EACHmessage with ALL the Cloudhub workers.
Answer: B
Question # 43
As a part of design , Mule application is required call the Google Maps API to perform a
distance computation. The application is deployed to cloudhub.
At the minimum what should be configured in the TLS context of the HTTP request
configuration to meet these requirements?
A. The configuration is built-in and nothing extra is required for the TLS context B. Request a private key from Google and create a PKCS12 file with it and add it inkeyStore as a part of TLS context C. Download the Google public certificate from a browser, generate JKS file from itand add it in key store as a part of TLS context D. Download the Google public certificate from a browser, generate a JKS file from itand add it in Truststore as part of the TLS context
Answer: D
Explanation:
When configuring the TLS context for an HTTP request to the Google Maps API, the
primary goal is to ensure that the Mule application can establish a secure connection.
Here’s a detailed explanation of the necessary steps:
Download Google Public Certificate:
Generate JKS File from Certificate:
keytool -importcert -file google.cer -keystore truststore.jks -alias google
By completing these steps, your Mule application will trust the Google Maps API server’s
certificate, allowing for secure communication.
References
MuleSoft Documentation: Configuring TLS
Google Maps API Documentation
Question # 44
Which Salesforce API is invoked to deploy, retrieve, create, update, or delete customization
information, such as custom object definitions using Mule Salesforce Connectors in a Mule
application?
A. sObject Platform Action API B. User Interface API C. Metadata API D. Process Rules API
Answer: C
Explanation:
The Salesforce API used to deploy, retrieve, create, update, or delete customization
information, such as custom object definitions, using Mule Salesforce Connectors in a Mule
application, is the Metadata API. The Metadata API enables programmatic access to the
metadata of Salesforce organizations, allowing developers to manage customizations and
configurations programmatically.
Using the Metadata API, Mule applications can automate the deployment and management
of Salesforce customizations, facilitating continuous integration and deployment processes
within Salesforce environments.
References
MuleSoft Documentation on Salesforce Connectors
Salesforce Metadata API Developer Guide
Question # 45
An organization is evaluating using the CloudHub shared Load Balancer (SLB) vs creating
a CloudHub dedicated load balancer (DLB). They are evaluating how this choice affects the
various types of certificates used by CloudHub deplpoyed Mule applications, including
MuleSoft-provided, customer-provided, or Mule application-provided certificates.
What type of restrictions exist on the types of certificates that can be exposed by the
CloudHub Shared Load Balancer (SLB) to external web clients over the public internet?
A. Only MuleSoft-provided certificates are exposed. B. Only customer-provided wildcard certificates are exposed. C. Only customer-provided self-signed certificates are exposed. D. Only underlying Mule application certificates are exposed (pass-through)
An application load balancer routes requests to a RESTful web API secured by Anypoint Flex Gateway.
Which protocol is involved in the communication between the load balancer and the Gateway?
A. SFTP B. HTTPS C. LDAP D. SMTP
Answer: B
Explanation: An application load balancer routes requests to a RESTful web API secured
by Anypoint Flex Gateway using the HTTPS protocol. HTTPS (HyperText Transfer Protocol
Secure) ensures that the communication between the load balancer and the gateway is
encrypted and secure, protecting the data from eavesdropping and tampering. HTTPS is
the standard protocol for secure communication over the internet, especially for APIs
handling sensitive data.
References:
Securing APIs with HTTPS
Understanding HTTPS
Question # 49
An organization has deployed runtime fabric on an eight note cluster with performance
profile. An API uses and non persistent object store for maintaining some of its state data.
What will be the impact to the stale data if server crashes?
A. State data is preserved B. State data is rolled back to a previously saved version C. State data is lost D. State data is preserved as long as more than one more is unaffected by the crash
Answer: C
Explanation: When using a non-persistent object store in MuleSoft, the state data is stored
in memory rather than on disk. This means that if a server crashes, all data stored in the
non-persistent object store will be lost because it does not survive a server restart or crash.
Non-persistent object stores are typically used for temporary data that does not need to be
retained across application restarts. Therefore, in an environment where an API is
maintaining its state using a non-persistent object store, a server crash will result in the
loss of that state data.
References:
MuleSoft Documentation on Object Store
Question # 50
What Anypoint Connectors support transactions?
A. Database, JMS, VM B. Database, 3MS, HTTP C. Database, JMS, VM, SFTP D. Database, VM, File
Answer: A
Explanation: Explanation
Below Anypoint Connectors support transactions JMS – Publish – Consume VM – Publish
– Consume Database – All operations
Question # 51
The retrieveBalances flow in the Mule application is designed to use an operation in a
connector to the Finance system (the Finance operation) that
can only look up one account record at a time, and a operation from a different connector
to the Audit system (the Audit operation) that can only
insert one account record at a time.
To best meet the performance-related requirements, what scope or scopes should be used
and how should they be used to incorporate the Finance
operation and Audit operation into the retrieveBalances flow?
A. Wrap the Finance operation in a Parallel For-Each scope. Wrap the Audit operation in a Async scope. B. Wrap the Finance operation in a Until-Successful scope. Wrap the Audit operation in a Try-Catch scope. C. Wrap both connector operations in a Async scope. D. Wrap both connector operations in a For-Each scope.
Answer: A
Explanation:
Understanding the Operations:
Parallel For-Each Scope:
Async Scope:
Performance Optimization:
References:
MuleSoft Documentation on Scopes: Mule Scopes
MuleSoft Best Practices for Performance: Performance Best Practices
Question # 52
What is an example of data confidentiality?
A. Signing a file digitally and sending it using a file transfer mechanism B. Encrypting a file containing personally identifiable information (PV) C. Providing a server's private key to a client for secure decryption of data during a twoway SSL handshake D. De-masking a person's Social Security number while inserting it into a database
Answer: B
Explanation: Data confidentiality involves protecting information from unauthorized access
and disclosure. Encrypting a file containing personally identifiable information (PII) is a
prime example of ensuring data confidentiality. Encryption transforms the data into a format
that is unreadable without the appropriate decryption key, thereby safeguarding sensitive
information such as PII from being accessed by unauthorized parties. This measure is
essential for compliance with data protection regulations and maintaining the privacy and
security of personal data.
References
MuleSoft Security Best Practices
Data Protection and Encryption Standards Documentation
Question # 53
A developer needs to discover which API specifications have been created within the organization before starting a new project. Which Anypoint Platform component can the developer use to find and try out the currently released API specifications?
A. Anypoint Exchange B. Runtime Manager C. API Manager D. Object Store
Answer: A
Explanation: To discover which API specifications have been created within the
organization before starting a new project, a developer can use Anypoint Exchange.
Anypoint Exchange is a centralized repository on the Anypoint Platform where developers
can find, share, and collaborate on API specifications, connectors, templates, and other
reusable assets.
In Anypoint Exchange, developers can browse the currently released API specifications, try
them out using the built-in testing tools, and access documentation and other resources.
This facilitates the reuse of existing APIs and ensures that the new project aligns with the
organization's API strategy.
References
MuleSoft Documentation on Anypoint Exchange
Best Practices for API Reuse and Discovery
Question # 54
Following MuleSoft best practices, what MuleSoft runtime deployment option best meets
the company's goals to begin its digital transformation journey?
A. Runtime Fabric on VMs/bare metal B. CloudHub runtimes C. Customer-hosted runtimes provisioned by a MuleSoft services partner D. Customer-hosted self-provisioned runtimes
Answer: B
Explanation:
Digital Transformation Goals:
CloudHub Runtimes:
Suitability for Digital Transformation:
References:
MuleSoft Documentation on CloudHub: CloudHub
MuleSoft Digital Transformation Insights: MuleSoft Digital Transformation
Question # 55
Which type of communication is managed by a service mesh in a microservices architecture?
A. Communication between microservices runtime administrators B. Communication between microservices developers C. Communication between microservices D. Communication between trading partner services
Answer: C
Explanation: In a microservices architecture, a service mesh manages the communication
between microservices. This involves handling service discovery, load balancing, failure
recovery, metrics, and monitoring. Service meshes also provide more complex operational
requirements like A/B testing, canary releases, rate limiting, access control, and end-to-end
authentication. By abstracting these functionalities away from individual microservices, a
service mesh allows developers to focus on business logic while ensuring reliable and
secure inter-service communication.
References:
Understanding Service Mesh
Service Mesh for Microservices
Question # 56
An XA transaction Is being configured that involves a JMS connector listening for Incoming
JMS messages. What is the meaning of the timeout attribute of the XA transaction, and
what happens after the timeout expires?
A. The time that is allowed to pass between committing the transaction and the completionof the Mule flow After the timeout, flow processing triggers an error B. The time that Is allowed to pass between receiving JMS messages on the same JMSconnection After the timeout, a new JMS connection Is established C. The time that Is allowed to pass without the transaction being ended explicitly After thetimeout, the transaction Is forcefully rolled-back D. The time that Is allowed to pass for state JMS consumer threads to be destroyed Afterthe timeout, a new JMS consumer thread is created
Answer: C
Explanation: Explanation
* Setting a transaction timeout for the Bitronix transaction manager
Set the transaction timeout either
– In wrapper.conf
– In CloudHub in the Properties tab of the Mule application deployment
The default is 60 secs. It is defined as
mule.bitronix.transactiontimeout = 120
* This property defines the timeout for each transaction created for this manager.
If the transaction has not terminated before the timeout expires it will be automatically
Bitronix is available as the XA transaction manager for Mule applications
To use Bitronix, declare it as a global configuration element in the Mule application <bti:transaction-manager />
Each Mule runtime can have only one instance of a Bitronix transaction manager, which is
shared by all Mule applications
For customer-hosted deployments, define the XA transaction manager in a Mule domain
Question # 57
An organization will deploy Mule applications to Cloudhub, Business requirements mandate
that all application logs be stored ONLY in an external splunk consolidated logging service
and NOT in Cloudhub.
In order to most easily store Mule application logs ONLY in Splunk, how must Mule
application logging be configured in Runtime Manager, and where should the log4j2 splunk
appender be defined?
A. Keep the default logging configuration in RuntimeManagerDefine the splunk appender in ONE global log4j.xml file that is uploaded once to RuntimeManager to support at Mule application deployments. B. Disable Cloudhub logging in Runtime ManagerDefine the splunk appender in EACH Mule application’s log4j2.xml file C. Disable Cloudhub logging in Runtime ManagerDefine the splunk appender in ONE global log4j.xml file that is uploaded once to RuntimeManger to support at Mule application deployments. D. Keep the default logging configuration in Runtime ManagerDefine the Splunk appender in EACH Mule application log4j2.xml file
Answer: B
Explanation: Explanation
By default, CloudHub replaces a Mule application's log4j2.xml file with a CloudHub
log4j2.xml file. In CloudHub, you can disable the CloudHub provided Mule application
log4j2 file. This allows integrating Mule application logs with custom or third-party log
management systems
Question # 58
A Mule application is deployed to a cluster of two(2) cusomter-hosted Mule runtimes.
Currently the node name Alice is the primary node and node named bob is the secondary
node. The mule application has a flow that polls a directory on a file system for new files.
The primary node Alice fails for an hour and then restarted.
After the Alice node completely restarts, from what node are the files polled, and what node
is now the primary node for the cluster?
A. Files are polled from Alice node Alice is now the primary node B. Files are polled form Bob node Alice is now the primary node C. Files are polled from Alice node Bob is the now the primary node D. Files are polled form Bob node Bob is now the primary node
Answer: D
Explanation: Explanation
* Mule High Availability Clustering provides basic failover capability for Mule. * When the
primary Mule Runtime becomes unavailable, for example, because of a fatal JVM or
hardware failure or it’s taken offline for maintenance, a backup Mule Runtime immediately
becomes the primary node and resumes processing where the failed instance left off. *
After a system administrator recovers a failed Mule Runtime server and puts it back online,
that server automatically becomes the backup node. In this case, Alice, once up, will
become backup ---------------------------------------------------------------------------------------------------
4.3/hadr-guide So correct choice is : Files are polled form Bob node Bob is now the
primary node
Question # 59
An organization is evaluating using the CloudHub shared Load Balancer (SLB) vs creating
a CloudHub dedicated load balancer (DLB). They are evaluating how this choice affects the
various types of certificates used by CloudHub deployed Mule applications, including
MuleSoft-provided, customer-provided, or Mule application-provided certificates. What type
of restrictions exist on the types of certificates for the service that can be exposed by the
CloudHub Shared Load Balancer (SLB) to external web clients over the public internet?
A. Underlying Mule applications need to implement own certificates B. Only MuleSoft provided certificates can be used for server side certificate C. Only self signed certificates can be used D. All certificates which can be used in shared load balancer need to get approved byraising support ticket
Answer: B
Explanation: Explanation
Correct answer is Only MuleSoft provided certificates can be used for server side certificate
* The CloudHub Shared Load Balancer terminates TLS connections and uses its own
server-side certificate.
* You would need to use dedicated load balancer which can enable you to define SSL
configurations to provide custom certificates and optionally enforce two-way SSL client
authentication.
* To use a dedicated load balancer in your environment, you must first create an Anypoint
VPC. Because you can associate multiple environments with the same Anypoint VPC, you
can use the same dedicated load balancer for your different environments.
Additional Info on SLB Vs DLB:
Question # 60
Refer to the exhibit.
A Mule 4 application has a parent flow that breaks up a JSON array payload into 200
separate items, then sends each item one at a time inside an Async scope to a VM queue.
A second flow to process orders has a VM Listener on the same VM queue. The rest of this
flow processes each received item by writing the item to a database.
This Mule application is deployed to four CloudHub workers with persistent queues enabled.
What message processing guarantees are provided by the VM queue and the CloudHub
workers, and how are VM messages routed among the CloudHub workers for each
invocation of the parent flow under normal operating conditions where all the CloudHub
workers remain online?
A. EACH item VM message is processed AT MOST ONCE by ONE CloudHub worker, withworkers chosen in a deterministic round-robin fashion Each of the four CloudHub workerscan be expected to process 1/4 of the Item VM messages (about 50 items) B. EACH item VM message is processed AT LEAST ONCE by ONE ARBITRARYCloudHub worker Each of the four CloudHub workers can be expected to process someitem VM messages C. ALL Item VM messages are processed AT LEAST ONCE by the SAME CloudHubworker where the parent flow was invokedThis one CloudHub worker processes ALL 200 item VM messages D. ALL item VM messages are processed AT MOST ONCE by ONE ARBITRARYCloudHub workerThis one CloudHub worker processes ALL 200 item VM messages
Answer: B
Explanation: Explanation
Correct answer is EACH item VM message is processed AT LEAST ONCE by ONE
ARBITRARY CloudHub worker. Each of the four CloudHub workers can be expected to
process some item VM messages In Cloudhub, each persistent VM queue is listened on by
every CloudHub worker - But each message is read and processed at least once by only
one CloudHub worker and the duplicate processing is possible - If the CloudHub worker fails , the message can be read by another worker to prevent loss of messages and this
can lead to duplicate processing - By default , every CloudHub worker's VM Listener
receives different messages from VM Queue Referenece:
A Mule application is built to support a local transaction for a series of operations on a
single database. The mule application has a Scatter-Gather scope that participates in the
local transaction.
What is the behavior of the Scatter-Gather when running within this local transaction?
A. Execution of all routes within Scatter-Gather occurs in parallel Any error that occursinside Scatter-Gather will result in a roll back of all the database operations B. Execution of all routes within Scatter-Gather occurs sequentially Any error that occursinside Scatter-Gather will be handled by error handler and will not result in roll back C. Execution of all routes within Scatter-Gather occurs sequentially Any error that occurs inside Scatter-Gather will result in a roll back of all the database operations D. Execution of all routes within Scatter-Gather occurs in parallel Any error that occursinside Scatter-Gather will be handled by error handler and will not result in roll back
Answer: A
Explanation:
Parallel Execution:
Transaction Management:
Error Handling and Rollback:
References:
MuleSoft Documentation on Scatter-Gather
Transaction management in MuleSoft
=========================
Question # 64
An organization plans to use the Anypoint Platform audit logging service to log Anypoint
MQ actions.
What consideration must be kept in mind when leveraging Anypoint MQ Audit Logs?
A. Anypoint MQ Audit Logs include logs for sending, receiving, or browsing messages B. Anypoint MQ Audit Logs include fogs for failed Anypoint MQ operations C. Anypoint MQ Audit Logs include logs for queue create, delete, modify, and purge operations
Answer: C
Explanation:
When leveraging Anypoint MQ Audit Logs, it's important to note that they include logs for
operations such as creating, deleting, modifying, and purging queues. These logs are
crucial for auditing and monitoring the state and changes made to the message queues
within Anypoint MQ. However, they do not include logs for individual message actions like
sending, receiving, or browsing messages.
References
MuleSoft Documentation on Anypoint MQ Audit Logs
Anypoint Platform Audit Logging Overview
Question # 65
According to the National Institute of Standards and Technology (NIST), which cloud
computing deployment model describes a composition of two or more distinct clouds that
support data and application portability?
A. Private cloud B. Hybrid cloud 4 C. Public cloud D. Community cloud
Answer: B
Explanation: According to the National Institute of Standards and Technology (NIST), a
hybrid cloud is a cloud computing deployment model that describes a composition of two or
more distinct cloud infrastructures (private, community, or public) that remain unique
entities but are bound together by standardized or proprietary technology that enables data
and application portability. Hybrid clouds allow organizations to leverage the advantages of
multiple cloud environments, such as combining the scalability and cost-efficiency of public
clouds with the security and control of private clouds. This model facilitates flexibility and
dynamic scalability, supporting diverse workloads and business needs while ensuring that
sensitive data and applications can remain in a controlled private environment.
References
NIST Definition of Cloud Computing
Hybrid Cloud Overview and Benefits
Question # 66
Mule applications need to be deployed to CloudHub so they can access on-premises
database systems. These systems store sensitive and hence tightly protected data, so are
not accessible over the internet.
What network architecture supports this requirement?
A. An Anypoint VPC connected to the on-premises network using an IPsec tunnel or AWSDirectConnect, plus matching firewall rules in the VPC and on-premises network B. Static IP addresses for the Mule applications deployed to the CloudHub Shared WorkerCloud, plus matching firewall rules and IPwhitelisting in the on-premises network C. An Anypoint VPC with one Dedicated Load Balancer fronting each on-premisesdatabase system, plus matching IP whitelisting in the load balancer and firewall rules in theVPC and on-premises network D. Relocation of the database systems to a DMZ in the on-premises network, with Muleapplications deployed to the CloudHub Shared Worker Cloud connecting only to the DMZ
Answer: A
Explanation: Explanation
* "Relocation of the database systems to a DMZ in the on-premises network, with Mule
applications deployed to the CloudHub Shared Worker Cloud connecting only to the DMZ"
is not a feasible option
* "Static IP addresses for the Mule applications deployed to the CloudHub Shared Worker
Cloud, plus matching firewall rules and IP whitelisting in the on-premises network" - It is
risk for sensitive data. - Even if you whitelist the database IP on your app, your app wont be
able to connect to the database so this is also not a feasible option
* "An Anypoint VPC with one Dedicated Load Balancer fronting each on-premises
database system, plus matching IP whitelisting in the load balancer and firewall rules in the
VPC and on-premises network" Adding one VPC with a DLB for each backend system also
makes no sense, is way too much work. Why would you add a LB for one system.
* Correct answer: "An Anypoint VPC connected to the on-premises network using an IPsec
tunnel or AWS DirectConnect, plus matching firewall rules in the VPC and on-premises
network"
IPsec Tunnel You can use an IPsec tunnel with network-to-network configuration to
connect your on-premises data centers to your Anypoint VPC. An IPsec VPN tunnel is
generally the recommended solution for VPC to on-premises connectivity, as it provides a
standardized, secure way to connect. This method also integrates well with existing IT
What are two reasons why a typical MuleSoft customer favors a MuleSoft-hosted Anypoint
Platform runtime plane over a customer-hosted runtime for its Mule application
deployments? (Choose two.)
A. Reduced application latency B. Increased application isolation C. Reduced time-to-market for the first application D. Increased application throughput E. Reduced IT operations effort
Answer: C,E
Explanation: MuleSoft customers often favor a MuleSoft-hosted Anypoint Platform runtime
plane over a customer-hosted runtime for the following reasons:
Reduced time-to-market for the first application (C): Using a MuleSoft-hosted
runtime plane accelerates the deployment process because MuleSoft manages
the infrastructure, allowing customers to focus on developing and deploying their
applications quickly. This leads to faster time-to-market for the initial application
and subsequent updates.
Reduced IT operations effort (E): By leveraging a MuleSoft-hosted environment,
customers offload the operational responsibilities, such as infrastructure
maintenance, updates, and scalability management, to MuleSoft. This reduces the
IT operations workload and allows internal teams to focus on more strategic
initiatives.
In contrast, other options like reduced application latency and increased application
throughput are not directly influenced by whether the runtime plane is MuleSoft-hosted or
customer-hosted.
References
MuleSoft Anypoint Platform Documentation
MuleSoft Hosted vs. Customer Hosted Deployment Guide
Question # 68
A gaming company has implemented an API as a Mule application and deployed the API implementation to a CloudHub 2.0 private space. The API implementation must connect to
a mainframe application running in the customer’s on-premises corporate data center and
also to a Kafka cluster running in an Amazon AWS VPC.
What is the most efficient way to enable the API to securely connect from its private space
to the mainframe application and Kafka cluster?
A. In Runtime Manager, set up VPC peering between the CloudHub 2.0 private network
and the on-premises data center.
In the AWS account, set up VPC peering between the AWS VPC and the CloudHub 2.0
private network.
A. Option A B. Option B C. Option C D. Option D
Answer: B
Explanation: To enable the API to securely connect from its CloudHub 2.0 private space
to both the on-premises mainframe application and the Kafka cluster in an Amazon AWS
VPC, the following approach is recommended:
AWS Transit Gateway: In the AWS account, attach the CloudHub 2.0 private
space to an AWS Transit Gateway. This gateway facilitates routing between the
CloudHub private space and the on-premises data center.
Routing to On-Premises: The AWS Transit Gateway will route traffic from the
CloudHub 2.0 private space to the on-premises data center, enabling secure and
efficient communication.
Anypoint VPN: In MuleSoft Runtime Manager, configure an Anypoint VPN to
establish a secure connection from the CloudHub 2.0 private space to the AWS
VPC where the Kafka cluster is hosted. This VPN ensures encrypted and secure
communication between CloudHub and AWS VPC.
This method uses both AWS Transit Gateway and Anypoint VPN to create a secure and efficient network setup, allowing the API to connect to both on-premises and AWS
resources.
References:
AWS Transit Gateway Documentation
Anypoint VPN Configuration
Question # 69
part of requirements for one of the API's, third party API needs to be called. The security
team has made it clear that calling any external API needs to have include listing
As an integration architect please suggest the best way to accomplish the design plan to
support these requirements?
A. Implement includelist IP on the cloudhub VPC firewall to allow the traffic B. Implement the validation of includelisted IP operation C. Implement the Any point filter processor to implement the include list IP D. Implement a proxy for the third party API and enforce the IPinclude list policy and call this proxy from the flow of the API
Answer: D
Explanation:
Requirement Analysis: The security team requires any external API call to be
restricted by an IP include list. This ensures that only specified IP addresses can
access the third-party API.
Design Plan: To fulfill this requirement, implementing a proxy for the third-party
API is the best approach. This proxy can enforce the IP include list policy.
Implementation Steps:
Advantages:
References
MuleSoft Documentation on API Proxies
MuleSoft Documentation on IP Whitelist Policy
Question # 70
Which Anypoint Platform component helps integration developers discovers and share
reusable APIs, connectors, and templates?
A. Anypoint Exchange B. API Manager C. Anypoint Studio D. Design Center
Answer: A
Explanation: Anypoint Exchange is the Anypoint Platform component that helps
integration developers discover and share reusable APIs, connectors, and templates. It
acts as a central repository where developers can publish and access various assets,
facilitating reuse and collaboration within the organization. By using Anypoint Exchange,
developers can reduce duplication of effort, speed up development processes, and ensure
consistency across integrations. Other components like API Manager, Anypoint Studio, and Design Center serve different
purposes, such as managing APIs, developing Mule applications, and designing API
specifications, but they are not specifically focused on discovering and sharing reusable
assets.
References
MuleSoft Documentation on Anypoint Exchange
Best Practices for Asset Reuse on Anypoint Platform
Question # 71
A company is designing an integration Mule application to process orders by submitting
them to a back-end system for offline processing. Each order will be received by the Mule
application through an HTTP5 POST and must be acknowledged immediately.
Once acknowledged the order will be submitted to a back-end system. Orders that cannot
be successfully submitted due to the rejections from the back-end system will need to be
processed manually (outside the banking system).
The mule application will be deployed to a customer hosted runtime and will be able to use
an existing ActiveMQ broker if needed. The ActiveMQ broker is located inside the
organization's firewall. The back-end system has a track record of unreliability due to both
minor network connectivity issues and longer outages.
Which combination of Mule application components and ActiveMQ queues are required to
ensure automatic submission of orders to the back-end system while supporting but
minimizing manual order processing?
A. One or more On Error scopes to assist calling the back-end system An Untill successfulscope containing VM components for long retries A persistent dead-letter VM queueconfigure in Cloud hub B. An Until Successful scope to call the back-end system One or more ActiveMQ long-retryqueues One or more ActiveMQ dead-letter queues for manual processing C. One or more on-Error scopes to assist calling the back-end system one or moreActiveMQ long-retry queues A persistent dead-letter Object store configuration in theCloudHub object store service D. A batch job scope to call the back in system An Untill successful scope containingObject Store components for long retries. A dead-letter object store configured in the Muleapplication
Answer: B
Explanation:
To design an integration Mule application that processes orders and ensures
reliability even with an unreliable back-end system, the following components and
ActiveMQ queues should be used:
Until Successful Scope: This scope ensures that the Mule application will continue
trying to submit the order to the back-end system until it succeeds or reaches a specified retry limit. This helps in handling transient network issues or minor
outages of the back-end system.
ActiveMQ Long-Retry Queues: By placing the orders in long-retry queues, the
application can manage retries over an extended period. This is particularly useful
when the back-end system experiences longer outages. The ActiveMQ broker,
located within the organization’s firewall, can reliably handle these queues.
ActiveMQ Dead-Letter Queues: Orders that cannot be successfully submitted after
all retry attempts should be moved to dead-letter queues. This allows for manual
processing of these orders. The dead-letter queue ensures that no orders are lost
and provides a clear mechanism for handling failed submissions.
Implementation Steps:
HTTP Listener: Set up an HTTP listener to receive incoming orders.
Immediate Acknowledgment: Immediately acknowledge the receipt of the order to
the client.
Until Successful Scope: Use the Until Successful scope to attempt submitting the
order to the back-end system. Configure retry intervals and limits.
Long-Retry Queues: Configure ActiveMQ long-retry queues to manage retries.
Dead-Letter Queues: Set up ActiveMQ dead-letter queues for orders that fail after
maximum retry attempts, allowing for manual intervention.
This approach ensures that the system can handle temporary and prolonged back-end
What is required before an API implemented using the components of Anypoint Platform
can be managed and governed (by applying API policies) on Anypoint Platform?
A. The API must be published to Anypoint Exchange and a corresponding API instance IDmust be obtained from API Manager to be used in the API implementation B. The API implementation source code must be committed to a source controlmanagement system (such as GitHub) C. A RAML definition of the API must be created in API designer so it can then bepublished to Anypoint Exchange D. The API must be shared with the potential developers through an API portal so APIconsumers can interact with the API
Answer: A
Explanation: Explanation
Context of the question is about managing and governing mule applications deployed on Anypoint platform.
Anypoint API Manager (API Manager) is a component of Anypoint Platform that enables
you to manage, govern, and secure APIs. It leverages the runtime capabilities of API
Gateway and Anypoint Service Mesh, both of which enforce policies, collect and track
analytics data, manage proxies, provide encryption and authentication, and manage applications.
A Mule application has an HTTP Listener that accepts HTTP DELETE requests. This Mule
application Is deployed to three CloudHub workers under the control of the CloudHub
Shared Load Balancer.
A web client makes a sequence of requests to the Mule application's public URL.
How is this sequence of web client requests distributed among the HTTP Listeners running
in the three CloudHub workers?
A. Each request is routed to the PRIMARY CloudHub worker in the PRIMARY Availability Zone (AZ) B. Each request is routed to ONE ARBiTRARY CloudHub worker in the PRIMARY Availability Zone (AZ) C. Each request Is routed to ONE ARBiTRARY CloudHub worker out of ALL three CloudHub workers D. Each request is routed (scattered) to ALL three CloudHub workers at the same time
Answer: C
Explanation: Explanation
Correct behavior is Each request is routed to ONE ARBITRARY CloudHub worker out of
ALL three CloudHub workers
Question # 75
What is a core pillar of the MuleSoft Catalyst delivery approach?
A. Business outcomes B. Technology centralization C. Process thinking D. Scope reduction
Answer: A
Explanation: A core pillar of the MuleSoft Catalyst delivery approach is focusing on
business outcomes. This approach ensures that the integration and API strategies are
aligned with the organization’s overall business objectives. By emphasizing business
outcomes, MuleSoft Catalyst helps organizations realize measurable benefits such as
increased efficiency, faster time to market, and improved customer experiences. This
outcome-driven methodology ensures that IT initiatives deliver tangible value to the
business.
References:
MuleSoft Catalyst: Methodology Overview
Business Outcomes with MuleSof
Question # 76
An organization uses one specific CloudHub (AWS) region for all CloudHub deployments.
How are CloudHub workers assigned to availability zones (AZs) when the organization's
Mule applications are deployed to CloudHub in that region?
A. Workers belonging to a given environment are assigned to the same AZ within that region. B. AZs are selected as part of the Mule application's deployment configuration. C. Workers are randomly distributed across available AZs within that region. D. An AZ is randomly selected for a Mule application, and all the Mule application's CloudHub workers are assigned to that one AZ
Answer: C
Explanation: Explanation
Correct answer is Workers are randomly distributed across available AZs within that region. This ensure high availability for deployed mule applications Mulesoft documentation reference :
What aspects of a CI/CD pipeline for Mute applications can be automated using MuleSoftprovided
Maven plugins?
A. Compile, package, unit test, deploy, create associated API instances in API Manager B Import from API designer, compile, package, unit test, deploy, publish to Am/point Exchange C. Compile, package, unit test, deploy, integration test D. Compile, package, unit test, validate unit test coverage, deploy
Answer: C
Question # 79
In preparation for a digital transformation initiative, an organization is reviewing related IT
integration projects that failed for various for reason.
According to MuleSoft’s surveys of global IT leaders, what is a common cause of IT project
failure that this organization may likely discover in its assessment?
A. Following an Agile delivery methodology B. Reliance on an Integration-Platform-as-a-Service (iPaaS) C. Spending too much time on enablement D. Lack of alignment around business outcomes
Answer: D
Explanation: According to MuleSoft's surveys of global IT leaders, a common cause of IT
project failure is a lack of alignment around business outcomes. When IT projects do not
have clear business objectives or fail to align with the strategic goals of the organization,
they are more likely to face challenges and fail to deliver value. Ensuring that IT initiatives
are closely tied to business goals and have stakeholder buy-in is crucial for their success.
References:
Why IT Projects Fail
Aligning IT and Business Strategies
Question # 80
Refer to the exhibit.
What is the type data format shown in the exhibit?
A. JSON B. XML C. YAML D. CSV
Answer: C
Explanation:
The data format shown in the exhibit is YAML (YAML Ain't Markup Language). YAML is a
human-readable data serialization standard that is commonly used for configuration files
and data exchange between languages with different data structures. In the exhibit, the
indentation and the use of colons to define key-value pairs are characteristic of YAML.
JSON (JavaScript Object Notation) and XML (eXtensible Markup Language) have different
syntax structures, and CSV (Comma-Separated Values) is a flat file format that uses
commas to separate values. The format shown in the exhibit fits the structure and style of
YAML.
References
YAML Specification Documentation
MuleSoft Documentation on Supported Data Formats
Question # 81
Refer to the exhibit.
An organization is sizing an Anypoint VPC for the non-production deployments of those
Mule applications that connect to the organization's on-premises systems. This applies to
approx. 60 Mule applications. Each application is deployed to two CloudHub i workers. The
organization currently has three non-production environments (DEV, SIT and UAT) that
share this VPC. The AWS region of the VPC has two AZs.
The organization has a very mature DevOps approach which automatically progresses
each application through all non-production environments before automatically deploying to
production. This process results in several Mule application deployments per hour, using
CloudHub's normal zero-downtime deployment feature.
What is a CIDR block for this VPC that results in the smallest usable private IP address
range?
A. 10.0.0.0/26 (64 IPS) B. 10.0.0.0/25 (128 IPs).1/24 C. 10.0.0.0/24 (256 IPs) D. 10.0.0.0/22 (1024 IPs)
Answer: D
Explanation: Explanation
Mule applications are deployed in CloudHub workers and each worker is assigned with a
dedicated IP • For zero downtime deployment, each worker in CloudHub needs additional
IP addresses • A few IPs in a VPC are reserved for infrastructure (generally 2 IPs) • The IP
addresses are usually in a private range with a subnet block specifier, such as 10.0.0
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