Salesforce Certified Data Cloud Consultant (SP24) Dumps April 2024
Are you tired of looking for a source that'll keep you updated on the Salesforce Certified Data Cloud Consultant (SP24) Exam? Plus, has a collection of affordable, high-quality, and incredibly easy Salesforce Data-Cloud-Consultant Practice Questions? Well then, you are in luck because Salesforcexamdumps.com just updated them! Get Ready to become a Salesforce Data Cloud Certified.
PDF
$90 $36
Test Engine
First Try Then Buy!
Last 1 Hour Left To Avail This 80% Discount Offer Coupon Code "SPECIAL80"
$130 $52
PDF + Test Engine
$180 $72
Here are Salesforce Data-Cloud-Consultant PDF available features:
Salesforce Data-Cloud-Consultant is a necessary certification exam to get certified. The certification is a reward to the deserving candidate with perfect results. The Salesforce Data Cloud Certification validates a candidate's expertise to work with Salesforce. In this fast-paced world, a certification is the quickest way to gain your employer's approval. Try your luck in passing the Salesforce Certified Data Cloud Consultant (SP24) Exam and becoming a certified professional today. Salesforcexamdumps.com is always eager to extend a helping hand by providing approved and accepted Salesforce Data-Cloud-Consultant Practice Questions. Passing Salesforce Certified Data Cloud Consultant (SP24) will be your ticket to a better future!
Pass with Salesforce Data-Cloud-Consultant Braindumps!
Contrary to the belief that certification exams are generally hard to get through, passing Salesforce Certified Data Cloud Consultant (SP24) is incredibly easy. Provided you have access to a reliable resource such as Salesforcexamdumps.com Salesforce Data-Cloud-Consultant PDF. We have been in this business long enough to understand where most of the resources went wrong. Passing Salesforce Salesforce Data Cloud certification is all about having the right information. Hence, we filled our Salesforce Data-Cloud-Consultant Dumps with all the necessary data you need to pass. These carefully curated sets of Salesforce Certified Data Cloud Consultant (SP24) Practice Questions target the most repeated exam questions. So, you know they are essential and can ensure passing results. Stop wasting your time waiting around and order your set of Salesforce Data-Cloud-Consultant Braindumps now!
We aim to provide all Salesforce Data Cloud certification exam candidates with the best resources at minimum rates. You can check out our free demo before pressing down the download to ensure Salesforce Data-Cloud-Consultant Practice Questions are what you wanted. And do not forget about the discount. We always provide our customers with a little extra.
Why Choose Salesforce Data-Cloud-Consultant PDF?
Unlike other websites, Salesforcexamdumps.com prioritize the benefits of the Salesforce Certified Data Cloud Consultant (SP24) candidates. Not every Salesforce exam candidate has full-time access to the internet. Plus, it's hard to sit in front of computer screens for too many hours. Are you also one of them? We understand that's why we are here with the Salesforce Data Cloud solutions. Salesforce Data-Cloud-Consultant Question Answers offers two different formats PDF and Online Test Engine. One is for customers who like online platforms for real-like Exam stimulation. The other is for ones who prefer keeping their material close at hand. Moreover, you can download or print Salesforce Data-Cloud-Consultant Dumps with ease.
If you still have some queries, our team of experts is 24/7 in service to answer your questions. Just leave us a quick message in the chat-box below or email at [email protected].
Salesforce Data-Cloud-Consultant Sample Questions
Question # 1
A client wants to bring in loyalty data from a custom object in Salesforce CRM that containsa point balance for accrued hotel points and airline points within the same record. Theclient wantsto split these point systems into two separate records for better tracking and processing.What should a consultant recommend in this scenario?
A. Clone the data source object. B. Use batch transforms to create a second data lake object. C. Create a junction object in Salesforce CRM and modify the ingestion strategy. D. Create a data kit from the data lake object and deploy it to the same Data Cloud org.
Answer: B
Explanation: Batch transforms are a feature that allows creating new data lake objects
based on existing data lake objects and applying transformations on them. This can be
useful for splitting, merging, or reshaping data to fit the data model or business
requirements. In this case, the consultant can use batch transforms to create a second data lake object that contains only the airline points from the original loyalty data object.
The original object can be modified to contain only the hotel points. This way, the client can
have two separate records for each point system and track and process them
accordingly. References: Batch Transforms, Create a Batch Transform
Question # 2
Which information is provided in a .csv file when activating to Amazon S3?
A. An audit log showing the user who activated the segment and when it was activated B. The activated data payload C. The metadata regarding the segment definition D. The manifest of origin sources within Data Cloud
Answer: B
Explanation: When activating to Amazon S3, the information that is provided in a .csv file
is the activated data payload. The activated data payload is the data that is sent from Data
Cloud to theactivation target, which in this case is an Amazon S3 bucket1. The activated
data payload contains the attributes and values of the individuals or entities that are
included in the segment that is being activated2. The activated data payload can be used
for various purposes, such as marketing, sales, service, or analytics3. The other options
are incorrect because they are not provided in a .csv file when activating to Amazon
S3. Option A is incorrect because an audit log is not provided in a .csv file, but it can be
viewed in the Data Cloud UI under the Activation History tab4. Option C is incorrect
because the metadata regarding the segment definition is not provided in a .csv file, but it
can be viewed in the Data Cloud UI under the Segmentation tab5. Option D is incorrect
because the manifest of origin sources within Data Cloud is not provided in a .csv file, but it
can be viewed in the Data Cloud UI under the Data Sources tab. References: Data
Activation Overview, Create and Activate Segments in Data Cloud, Data Activation Use
Cumulus Financial uses Service Cloud as its CRM and stores mobile phone, home phone,and work phone as three separate fields for its customers on the Contact record. Thecompany plansto use Data Cloud and ingest the Contact object via the CRM Connector.What is the most efficient approach that a consultant should take when ingesting this datato ensureall the different phone numbers are properly mapped and available for use in activation?
A. Ingest the Contact object and map the Work Phone, Mobile Phone, and Home Phone totheContact Point Phone data map object from the Contact data stream. B. Ingest the Contact object and use streaming transforms to normalize the phonenumbers fromthe Contact data stream into a separate Phone data lake object (DLO) that contains threerows,and then map this new DLO to the Contact Point Phone data map object. C. Ingest the Contact object and then create a calculated insight to normalize the phonenumbers,and then map to the Contact Point Phone data map object. D. Ingest the Contact object and create formula fields in the Contact data stream on thephonenumbers, and then map to the Contact Point Phone data map object.
Answer: B
Explanation: The most efficient approach that a consultant should take when ingesting this
data to ensure all the different phone numbers are properly mapped and available for use
in activation is B. Ingest the Contact object and use streaming transforms to normalize the
phone numbers from the Contact data stream into a separate Phone data lake object
(DLO) that contains three rows, and then map this new DLO to the Contact Point Phone
data map object. This approach allows the consultant to use the streaming transforms
feature of Data Cloud, which enables data manipulation and transformation at the time of
ingestion, without requiring any additional processing or storage. Streaming transforms can
be used to normalize the phone numbers from the Contact data stream, such as removing
spaces, dashes, or parentheses, and adding country codes if needed. The normalized
phone numbers can then be stored in a separate Phone DLO, which can have one row for
each phone number type (work, home, mobile). The Phone DLO can then be mapped to
the Contact Point Phone data map object, which is a standard object that represents a
phone number associated with a contact point. This way, the consultant can ensure that all
the phone numbers are available for activation, such as sending SMS messages or making
calls to the customers.
The other options are not as efficient as option B. Option A is incorrect because it does not
normalize the phone numbers, which may cause issues with activation or identity
resolution. Option C is incorrect because it requires creating a calculated insight, which is
an additional step that consumes more resources and time than streamingtransforms.
Option D is incorrect because it requires creating formula fields in the Contact data stream,
which may not be supported by the CRM Connector or may cause conflicts with the
existing fields in the Contact object. References: Salesforce Data Cloud Consultant Exam
Guide, Data Ingestion and Modeling, Streaming Transforms, Contact Point Phone
Question # 4
Which permission setting should a consultant check if the custom Salesforce CRM object isnot available in New Data Stream configuration?
A. Confirm the Create object permission is enabled in the Data Cloud org. B. Confirm the View All object permission is enabled in the source Salesforce CRM org. C. Confirm the Ingest Object permission is enabled in the Salesforce CRM org. D. Confirm that the Modify Object permission is enabled in the Data Cloud org.
Answer: B
Explanation: To create a new data stream from a custom Salesforce CRM object, the
consultant needs to confirm that the View All object permission is enabled in the source
Salesforce CRM org. This permission allows the user to view all records associated with
the object, regardless of sharing settings1. Without this permission, the custom object will
not be available in the New Data Stream configuration2. References:
Manage Access with Data Cloud Permission Sets
Object Permissions
Question # 5
A customer is concerned that the consolidation rate displayed in the identity resolution isquite low compared to their initial estimations.Which configuration change should a consultant consider in order to increase theconsolidation rate?
A. Change reconciliation rules to MostOccurring. B. Increase the number of matching rules. C. Include additional attributes in the existing matching rules. D. Reduce the number of matching rules.
Answer: B
Explanation: The consolidation rate is the amount by which source profiles are combined
to produce unified profiles, calculated as 1 - (number of unified individuals / number of
source individuals). For example, if you ingest 100 source records and create 80 unified
profiles, your consolidation rate is 20%. To increase the consolidation rate, you need to
increase the number of matches between source profiles, which can be done by adding
more match rules. Match rules define the criteria for matching source profiles based on
their attributes. By increasing the number of match rules, you can increase the chances of
finding matches between source profiles and thus increase the consolidation rate. On the
other hand, changing reconciliation rules, including additional attributes, or reducing the
number of match rules can decrease the consolidation rate, as they can either reduce the
number of matches or increase the number of unified profiles. References: Identity
Resolution Calculated Insight: Consolidation Rates for Unified Profiles, Identity Resolution
When creating a segment on an individual, what is the result of using two separatecontainers linked by an AND as shown below?GoodsProduct | Count | At Least | 1Color | Is Equal To | redANDGoodsProduct | Count | At Least | 1PrimaryProductCategory | Is Equal To | shoes
A. Individuals who purchased at least one of any red’ product and also purchased at leastone pairof ‘shoes’ B. Individuals who purchased at least one 'red shoes' as a single line item in a purchase C. Individuals who made a purchase of at least one 'red shoes’ and nothing else D. Individuals who purchased at least one of any 'red' product or purchased at least one pair of 'shoes'
Answer: A
Explanation: When creating a segment on an individual, using two separate containers
linked by an AND means that the individual must satisfy both the conditions in the
containers. In this case, the individual must have purchased at least one product with the
color attribute equal to ‘red’ and at least one product with the primary product category
attribute equal to ‘shoes’. The products do not have to be the same or purchased in the
same transaction. Therefore, the correct answer is A.
The other options are incorrect because they imply different logical operators or conditions.
Option B implies that the individual must have purchased a single product that has both the
color attribute equal to ‘red’ and the primary product category attribute equal to ‘shoes’.
Option C implies that the individual must have purchased only one product that has both the color attribute equal to ‘red’ and the primary product category attribute equal to ‘shoes’
and no other products. Option D implies that the individual must have purchased either one
product with the color attribute equal to ‘red’ or one product with the primary product
category attribute equal to ‘shoes’ or both, which is equivalent to using an OR operator
instead of an AND operator.
References:
Create a Container for Segmentation
Create a Segment in Data Cloud
Navigate Data Cloud Segmentation
Question # 7
Cumulus Financial wants to segregate Salesforce CRM Account data based on Country forits Data Cloud users.What should the consultant do to accomplish this?
A. Use streaming transforms to filter out Account data based on Country and map toseparate data model objects accordingly. B. Use the data spaces feature and applying filtering on the Account data lake objectbased on Country. C. Use Salesforce sharing rules on the Account object to filter and segregate recordsbased on Country. D. Use formula fields based on the account Country field to filter incoming records.
Answer: B
Explanation: Data spaces are a feature that allows Data Cloud users to create subsets of
data based on filters and permissions. Data spaces can be used to segregate data based on different criteria, such as geography, business unit, or product line. In this case, the
consultant can use the dataspaces feature and apply filtering on the Account data lake
object based on Country. This way, the Data Cloud users can access only the Account
data that belongs to their respective countries. References: Data Spaces, Create a Data
Space
Question # 8
Northern Trail Outfitters uses B2C Commerce and is exploring implementing Data Cloud toget a unifiedview of its customers and alltheir order transactions.What should the consultant keep in mind with regard to historical data ingesting order datausing the B2C Commerce Order Bundle?
A. The B2C Commerce Order Bundle ingests 12 months of historical data. B. The B2C Commerce Order Bundle ingests 6 months ofhistorical data. C. The B2C Commerce Order Bundle does not ingest any historical data and only ingestsnew orders from that point on. D. The B2C Commerce Order Bundle ingests 30 days ofhistorical data.
Answer: C
Explanation: The B2C Commerce Order Bundle is a data bundle that creates a data
stream to flow order data from a B2C Commerce instance to Data Cloud. However, this
data bundle does not ingest any historical data and only ingests new orders from the time
the data stream is created. Therefore, if a consultant wants to ingest historical order data,
they need to use a different method, such as exporting the data from B2C Commerce and
importing it to Data Cloud using a CSV file12. References:
Create a B2C Commerce Data Bundle
Data Access and Export for B2C Commerce and Commerce Marketplace
Question # 9
A consultant wants to build a new audience in Data Cloud.Which three criteria can the consultant include when building a segment?Choose 3 answers
A. Direct attributes B. Data stream attributes C. Calculated Insights D. Related attributes E. Streaming insights
Answer: A,C,D
Explanation: A segment is a subset of individuals who meet certain criteria based on their
attributes and behaviors. A consultant can use different types of criteria when building a
segment in Data Cloud, such as:
Direct attributes: These are attributes that describe the characteristics of an
individual, such as name, email, gender, age, etc. These attributes are stored in
the Profile data model object (DMO) and can be used to filter individuals based on
their profile data.
Calculated Insights: These are insights that perform calculations on data in a data
space and store the results in a data extension. These insights can be used to
segment individuals based on metrics or scores derived from their data, such as
customer lifetime value, churn risk, loyalty tier, etc.
Related attributes: These are attributes that describe the relationships of an
individual with other DMOs, such as Email, Engagement, Order, Product, etc.
These attributes can be used to segment individuals based on their interactions or
transactions with different entities, such as email opens, clicks, purchases, etc.
The other two options are not valid criteria for building a segment in Data Cloud. Data
stream attributes are attributes that describe the streaming data that is ingested into Data
Cloud from various sources, such as Marketing Cloud, Commerce Cloud, Service Cloud,
etc. These attributes are not directly available for segmentation, but they can be
transformed and stored in data extensions using streaming data transforms. Streaming
insights are insights that analyze streaming data in real time and trigger actions based on
predefined conditions. These insights are not used for segmentation, but for activation and
personalization. References: Create a Segment in Data Cloud, Use Insights in Data
Cloud, Data Cloud Data Model
Question # 10
How does identity resolution select attributes for unified individuals when there Is conflictinginformation in the data model?
A. Creates additional contact points B. Leverages reconciliation rules C. Creates additional rulesets D. Leverages match rules
Answer: B
Explanation: Identity resolution is the process of creating unified profiles of individuals by
matching and merging data from different sources. When there is conflicting information in
the data model, such as different names, addresses, or phone numbers for the same
person, identity resolution leverages reconciliation rules to select the most accurate and
complete attributes for the unified profile. Reconciliation rules are configurable rules that
define how to resolve conflicts based on criteria such as recency, frequency, source
priority, or completeness. For example, a reconciliation rule can specify that the most
recent name or the most frequent phone number should be selected for the unified profile.
Reconciliation rules can be applied at the attribute level or the contact point level. References: Identity Resolution, Reconciliation Rules, Salesforce Data Cloud Exam
Questions
Question # 11
A customer is trying to activate data from Data Cloud to an Amazon S3 Cloud File StorageBucket.Which authentication type should the consultant recommend to connect to the S3 bucketfrom Data Cloud?
A. Use an S3 Private Key Certificate. B. Use an S3 Encrypted Username and Password. C. Use a JWT Token generated on S3. D. Use an S3 Access Key and Secret Key.
Answer: D
Explanation: To use the Amazon S3 Storage Connector in Data Cloud, the consultant
needs to provide the S3 bucket name, region, and access key and secret key for
authentication. The access key and secret key are generated by AWS and can be
managed in the IAM console. The other options are not supported by the S3 Storage
Connector or by Data Cloud. References: Amazon S3 Storage Connector -
Salesforce, How to Use the Amazon S3 Storage Connector in Data Cloud | Salesforce
A user is not seeing suggested values from newly-modeled data when building a segment.What is causing this issue?
A. Value suggestion is still processing and to be available. B. Value suggestion requires Data Aware Specialist permissions at a minimum. C. Value suggestion can only work on direct attributes and not related attributes. D. Value suggestion will only return result for the first 50 values of a specific attribute.
Answer: A
Explanation: Value suggestion is a feature that allows users to see suggested values for
data model object (DMO) fields when creating segment filters. However, this feature can
take up to 24 hours to process and display the values for newly-modeled data. Therefore, if
a user is not seeing suggested values from newly-modeled data, it is likely that the value
suggestion is still processing and will be available soon. The other options are incorrect
because value suggestion does not require any specific permissions, can work on both
direct and related attributes, and can return more than 50 values for a specific attribute,
depending on the data type and frequency of the values. References: Use Value
Suggestions in Segmentation, Data Cloud Limits and Guidelines
Question # 13
A customer has multiple team members who create segment audiences that work indifferent time zones. One team member works at the home office in the Pacific timezone,that matches the org Time Zonesetting. Another team member works remotely in theEastern time zone.Which user will see their home time zone in the segment and activation schedule areas?
A. The team member in the Pacific time zone. B. The team member in the Eastern time zone. C. Neither team member; Data Cloud showsall schedules in GMT. D. Both team members; Data Cloud adjusts the segment and activation schedules to thetime zone of the logged-in user
Answer: D
Explanation: The correct answer is D, both team members; Data Cloud adjusts the
segment and activation schedules to the time zone of the logged-in user. Data Cloud uses
the time zone settings of the logged-in user to display the segment and activation
schedules. This means that each user will see the schedules in their own home time zone,
regardless of the org time zone setting or the location of other team members. This feature
helps users to avoid confusion and errors when scheduling segments and activations
across different time zones. The other options are incorrect because they do not reflect
how Data Cloud handles time zones. The team member in the Pacific time zone will not
see the same time zone as the org time zone setting, unless their personal time zone
Question # 14
A consultant is setting up a data stream with transactional data,Which field typeshould the consultant choose toensure that leadingzeros in the purchase order number are preserved?
A. Text B. Number C. Decimal D. Serial
Answer: A
Explanation: The field type Text should be chosen to ensure that leading zeros in the
purchase order number are preserved. This is because text fields store alphanumeric
characters as strings, and do not remove any leading or trailing characters. On the other
hand, number, decimal, and serial fields store numeric values as numbers, and
automatically remove any leading zeros when displaying or exporting the data123.
Therefore, text fields are more suitable for storing data that needs to retain its original
format, such as purchase order numbers, zip codes, phone numbers, etc. References:
Zeros at the start of a field appear to be omitted in Data Exports
Keep First ‘0’ When Importing a CSV File
Import and export address fields that begin with a zero or contain a plus symbol
Question # 15
A Data Cloud customer wants to adjust their identity resolution rules to increase theiraccuracy of matches. Rather than matching on email address, they want to review a rulethat joins their CRM Contacts with their Marketing Contacts, where both use the CRM ID as theirprimary key.Which two steps should the consultant take to address this new use case?Choose 2 answers
A. Map the primary key from the two systems to Party Identification, using CRM ID as theidentification name for both. B. Map the primary key from the two systems to party identification, using CRM ID as theidentification name for individualscoming from the CRM, and Marketing ID as the identification name for individuals comingfrom themarketing platform. C. Create a custom matching rule for an exact match on the Individual ID attribute. D. Create a matching rule based on party identification that matches on CRM ID as thepartyidentification name.
Answer: A,D
Explanation: To address this new use case, the consultant should map the primary key
from the two systems to Party Identification, using CRM ID as the identification name for
both, and create a matching rule based on party identification that matches on CRM ID as
the party identification name. This way, the consultant can ensure that the CRM Contacts
and Marketing Contacts are matched based on their CRM ID, which is a unique identifier
for each individual. By using Party Identification, the consultant can also leverage the
benefits of this attribute, such as being able to match across different entities and sources,
and being able to handle multiple values for the same individual. The other options are
incorrect because they either do not use the CRM ID as the primary key, or they do not use
Party Identification as the attribute type. References: Configure Identity Resolution
Rulesets, Identity Resolution Match Rules, Data Cloud Identity Resolution Ruleset, Data
Cloud Identity Resolution Config Input
Question # 16
A retailer wants to unify profiles using Loyalty ID which is different than the unique ID oftheir customers.Which object should the consultant use in identity resolution to perform exact match ruleson theLoyalty ID?
A. Party Identification object B. Loyalty Identification object C. Individual object D. Contact Identification object
Answer: A
Explanation: The Party Identification object is the correct object to use in identity
resolution to perform exact match rules on the Loyalty ID. The Party Identification object is
a child object of the Individual object that stores different types of identifiers for an
individual, such as email, phone, loyalty ID, social media handle, etc. Each identifier has a
type, a value, and a source. The consultant can use the Party Identification object to create
a match rule that compares the Loyalty ID type and value across different sources and links
the corresponding individuals.
The other options are not correct objects to use in identity resolution to perform exact
match rules on the Loyalty ID. The Loyalty Identification object does not exist in Data
Cloud. The Individual object is the parent object that represents a unified profile of an
individual, but it does not store the Loyalty ID directly. The Contact Identification objectis a
child object of the Contact object that stores identifiers for a contact, such as email, phone,
etc., but it does not store the Loyalty ID.
References:
Data Modeling Requirements for Identity Resolution
Identity Resolution in a Data Space
Configure Identity Resolution Rulesets
Map Required Objects
Data and Identity in Data Cloud
Question # 17
Northern Trail Outfitters (NTO) is configuring an identity resolution ruleset based on FuzzyName and Normalized Email.What should NTO do to ensure the best email address is activated?
A. Include Contact Point Email object Is Active field as a match rule. B. Use the source priority order in activations to make sure a contact point from the desiredsourceis delivered to the activation target. C. Ensure Marketing Cloud is prioritized as the first data source in the Source Priorityreconciliationrule. D. Set the default reconciliation rule to Last Updated.
Answer: B
Explanation: NTO is using Fuzzy Name and Normalized Email as match rules to link
together data from different sources into a unified individual profile. However, there might
be cases where the same email address is available from more than one source, and NTO
needs to decide which one to use for activation. For example, if Rachel has the same email
address in Service Cloud and Marketing Cloud, but prefers to receive communications from
NTO via Marketing Cloud, NTO needs to ensure that the email address from Marketing
Cloud is activated. To do this, NTO can use the source priority order in activations, which
allows them to rank the data sources in order of preference for activation. By placing
Marketing Cloud higher than Service Cloud in the source priority order, NTO can make
sure that the email address from Marketing Cloud is delivered to the activation target, such
as an email campaign or a journey. This way, NTO can respect Rachel’s preference and
deliver a better customer experience. References: Configure Activations, Use Source
Priority Order in Activations
Question # 18
A consultant is working in a customer's Data Cloud org and is asked to delete the existingidentity resolution ruleset.Which two impacts should the consultant communicate as a result of this action?Choose 2 answers
A. All individual data will be removed. B. Unified customer data associated with this ruleset will be removed. C. Dependencies on data model objects will be removed. D. All source profile data will be removed
Answer: B,C
Explanation: Deleting an identity resolution ruleset has two major impacts that the
consultant should communicate to the customer. First, it will permanently remove all unified
customer data that was created by the ruleset, meaning that the unified profiles and their
attributes will no longer be available in Data Cloud1. Second, it will eliminate dependencies
on data model objects that were used by the ruleset, meaning that the data model objects
can be modified or deleted without affecting the ruleset1. These impacts can have
significant consequences for the customer’s data quality, segmentation, activation, and
analytics, so the consultant should advise the customer to carefully consider the
implications of deleting a ruleset before proceeding. The other options are incorrect
because they are not impacts of deleting a ruleset. Option A is incorrect because deleting a ruleset will not remove all individual data, but only the unified customer data. The individual
data from the source systems will still be available in Data Cloud1. Option D is incorrect
because deleting a ruleset will not remove all source profile data, but only the unified
customer data. The source profile data from the data streams will still be available in Data
Cloud1. References: Delete an Identity Resolution Ruleset
Question # 19
A consultant wants to ensure that every segment managed by multiple brand teamsadheres to the same set of exclusion criteria, that are updated on a monthly basis.What is the most efficient option to allow for this capability?
A. Create, publish, and deploy a data kit. B. Create a reusable container block with common criteria. C. Create a nested segment. D. Create a segment and copy it for each brand.
Answer: B
Explanation: The most efficient option to allow for this capability is to create a reusable
container block with common criteria. A container block is a segment component that can
bereused across multiple segments. A container block can contain any combination of
filters, nested segments, and exclusion criteria. A consultant can create a container block
with the exclusion criteria that apply to all the segments managed by multiple brand teams,
and then add the container block to each segment. This way, the consultant can update the exclusion criteria in one place and have them reflected in all the segments that use the
container block.
The other options are not the most efficient options to allow for this capability. Creating,
publishing, and deploying a data kit is a way to share data and segments across different
data spaces, but it does not allow for updating the exclusion criteria on a monthly basis.
Creating a nested segment is a way to combine segments using logical operators, but it
does not allow for excluding individuals based on specific criteria. Creating a segment and
copying it for each brand is a way to create multiple segments with the same exclusion
criteria, but it does not allow for updating the exclusion criteria in one place.
References:
Create a Container Block
Create a Segment in Data Cloud
Create and Publish a Data Kit
Create a Nested Segment
Question # 20
A consultant has an activation that is set to publish every 12 hours, but has discovered thatupdates to the data prior to activation are delayed by up to 24 hours. Which two areas should a consultant review to troubleshoot this issue?Choose 2 answers
A. Review data transformations to ensure they're run after calculated insights. B. Review calculated insights to make sure they're run before segments are refreshed. C. Review segments to ensure they're refreshed after the data is ingested. D. Review calculated insights to make sure they're run after the segments are refreshed.
Answer: B,C
Explanation: The correct answer is B and C because calculated insights and segments
are both dependent on the data ingestion process. Calculated insights are derived from the
data model objects and segments are subsets of data model objects that meet certain
criteria. Therefore, both of them need to be updated after the data is ingested to reflect the
latest changes. Data transformations are optional steps that can be applied to the data
streams before they are mapped to the data model objects, so they are not relevant to the
issue. Reviewing calculated insights to make sure they’re run after the segments are
refreshed (option D) is also incorrect because calculated insights are independent of
segments and do not need to be refreshed after them. References: Salesforce Data Cloud
Consultant Exam Guide, Data Ingestion and Modeling, Calculated Insights, Segments
Question # 21
Cumulus Financial created a segment called Multiple Investments that contains individualswho have invested in two or more mutual funds.The company plans to send an email to this segment regarding a new mutual fund offering,andwants to personalize the email content with information about each customer's currentmutual fund investments. How should the Data Cloud consultant configure this activation?
A. Include Fund Type equal to "Mutual Fund" as a related attribute. Configure an activationbased onthe new segment with no additional attributes. B. Choose the Multiple Investments segment, choose the Email contact point, add relatedattributeFund Name, and add related attribute filter for Fund Type equal to "Mutual Fund". C. Choose the Multiple Investments segment, choose the Email contact point, and addrelatedattribute Fund Type. D. Include Fund Name and Fund Type by default for post processing in the target system.
Answer: B
Explanation: To personalize the email content with information about each customer’s
current mutual fund investments, the Data Cloud consultant needs to add related attributes
to the activation. Related attributes are additional data fields that can be sent along with the
segment to the target system for personalization or analysis purposes. In this case, the
consultant needs to add the Fund Name attribute, which contains the name of the mutual
fund that the customer has invested in, and apply a filter for Fund Type equal to “Mutual
Fund” to ensure that only relevant data is sent. The other options are not correct because:
A. Including Fund Type equal to “Mutual Fund” as a related attribute is not enough
to personalize the email content. The consultant also needs to include the Fund
Name attribute, which contains the specific name of the mutual fund that the
customer has invested in.
C. Adding related attribute Fund Type is not enough to personalize the email
content. The consultant also needs to add the Fund Name attribute, which
contains the specific name of the mutual fund that the customer has invested in,
and apply a filter for Fund Type equal to “Mutual Fund” to ensure that only relevant
data is sent.
D. Including Fund Name and Fund Type by default for post processing in the
target system is not a valid option. The consultant needs to add the related
attributes and filters during the activation configuration in Data Cloud, not after the
data is sent to the target system. References: Add Related Attributes to an
Activation - Salesforce, Related Attributes in Activation - Salesforce, Prepare for
Your Salesforce Data Cloud Consultant Credential
Question # 22
Which configuration supports separate Amazon S3 buckets for data ingestion andactivation?
A. Dedicated S3 data sources in Data Cloud setup B. Multiple S3 connectors in Data Cloud setup C. Dedicated S3 data sources in activation setup D. Separate user credentials for data stream and activation target
Answer: A
Explanation: To support separate Amazon S3 buckets for data ingestion and activation,
you need to configure dedicated S3 data sources in Data Cloud setup. Data sources are
used to identify the origin and type of the data that you ingest into Data Cloud1. You can
create different data sources for each S3 bucket that you want to use for ingestion or
activation, and specify the bucket name, region, and access credentials2. This way, you
can separate and organize your data by different criteria, such as brand, region, product, or
business unit3. The other options are incorrect because they do not support separate S3
buckets for data ingestion and activation. Multiple S3 connectors are not a valid
configuration in Data Cloud setup, as there is only one S3 connector available4. Dedicated
S3 data sources in activation setup are not a valid configuration either, as activation setup
does not require data sources, but activation targets5. Separate user credentials for data
stream and activation target are not sufficient to support separate S3 buckets, as you also
need to specify the bucket name and region for each data source2. References: Data
Sources Overview, Amazon S3 Storage Connector, Data Spaces Overview, Data Streams
Overview, Data Activation Overview
Question # 23
Cloud Kicks wants to be able to build a segment of customers who have visited its websitewithin the previous 7 days.Which filter operator on the Engagement Date field fits this use case?
A. Is Between B. Greater than Last Number of C. Next Number of Days D. Last Number of Days
Answer: D
Explanation: The filter operator Last Number of Days allows you to filter on date fields
using a relative date range that specifies the number of days before today. For example,
you can use this operator to filter on customers who have visited your website in the last 7
days, or the last 30 days, or any number of days you want. This operator is useful for
creating dynamic segments that update automatically based on the current
date12. References:
Relative Date Filter Reference
Create Filtered Segments
Question # 24
Northern Trail Outfitters (NTO), an outdoor lifestyle clothing brand, recently started a newline of business. The new business specializes in gourmet camping food. For businessreasons as wellas security reasons, it's important to NTO to keep all Data Cloud data separated by brand.Which capability best supports NTO's desire to separate its data by brand?
A. Data streams for each brand B. Data model objects for each brand C. Data spaces for each brand D. Data sources for each brand
Answer: C
Explanation: Data spaces are logical containers that allow you to separate and organize
your data by different criteria, such as brand, region, product, or business unit1. Data
spaces can help you manage data access, security, and governance, as well as enable
cross-cloud data integration and activation2. For NTO, data spaces can support their desire
to separate their data by brand, so that they can have different data models, rules, and
insights for their outdoor lifestyle clothing and gourmet camping food businesses. Data
spaces can also help NTO comply with any data privacy and security regulations that may
apply to their different brands3. The other options are incorrect because they do not
provide the same level of data separation and organization as data spaces. Data streams
are used to ingest data from different sources into Data Cloud, but they do not separate the
data by brand4. Data model objects are used to definethe structure and attributes of the
data, but they do not isolate the data by brand5. Data sources are used to identify the
origin and type of the data, but they do not partition the data by brand. References: Data
Spaces Overview, Create Data Spaces, Data Privacy and Security in Data Cloud, Data
Streams Overview, Data Model Objects Overview, [Data Sources Overview]
Question # 25
A customer has a custom Customer Email c object related to the standard Contact object inSalesforce CRM. This custom objectstores the email addressa Contact that they want to use for activation.To which data entity ismapped?
A. Contact B. Contact Point_Email C. Custom customer Email__c object D. Individual
Answer: B
Explanation: The Contact Point_Email object is the data entity that represents an email
address associated with an individual in Data Cloud. It is part of the Customer 360 Data
Model, which is a standardized data model that defines common entities and relationships
for customer data. The Contact Point_Email object can be mapped to any custom or
standard object that stores email addresses in Salesforce CRM, such as the custom
Customer Email__c object. The other options are not the correct data entities to map to
because:
A. The Contact object is the data entity that represents a person who is associated
with an account that is a customer, partner, or competitor in Salesforce CRM. It is
not the data entity that represents an email address in Data Cloud.
C. The custom Customer Email__c object is not a data entity in Data Cloud, but a
custom object in Salesforce CRM. It can be mapped to a data entity in Data Cloud,
such as the Contact Point_Email object, but it is not a data entity itself.
D. The Individual object is the data entity that represents a unique person in Data
Cloud. It is the core entity for managing consent and privacy preferences, and it
can be related to one or more contact points, such as email addresses, phone
numbers, or social media handles. It is not the data entity that represents an email
address in Data Cloud. References: Customer 360 Data Model: Individual and
Contact Points - Salesforce, Contact Point_Email | Object Reference for the
Salesforce Platform | Salesforce Developers, [Contact | Object Reference for the
Salesforce Platform | Salesforce Developers], [Individual | Object Reference for the
Salesforce Platform | Salesforce Developers]
Question # 26
The Salesforce CRM Connector is configured and the Case object data stream is set up.Subsequently, a new custom field named Business Priority is created on the Case object inSalesforce CRM. However, the new field is not available when trying to add it to the datastream.Which statement addresses the cause of this issue?
A. The Salesforce Integration User Is missing Rad permissions on the newly created field. B. The Salesforce Data Loader application should beused to perform a bulk upload from adesktop. C. Customfields on the Case object are not supportedfor ingesting into Data Cloud. D. After 24 hourswhen the data stream refreshesit will automatically include any new fieldsthat were added to the Salesforce CRM.
Answer: A
Explanation: The Salesforce CRM Connector uses the Salesforce Integration User to
access the data from the Salesforce CRM org. The Integration User must have the Read
permission on the fields that are included in the data stream. If the Integration User does
not have the Read permission on the newly created field, the field will not be available for
selection in the data stream configuration. To resolve this issue, the administrator should
assign the Read permission on the new field to the Integration User profile or permission
set. References: Create a Salesforce CRM Data Stream, Edit a Data Stream, Salesforce
Data Cloud Full Refresh for CRM, SFMC, or Ingestion API Data Streams
Question # 27
An organization wants to enable users with the ability to identify and select text attributesfrom a picklist of options.Which Data Cloud feature should help with this use case?
A. Value suggestion B. Data harmonization C. Transformation formulas D. Global picklists
Answer: A
Explanation: Value suggestion is a Data Cloud feature that allows users to see and select
the possible values for a text field when creating segment filters. Value suggestion can be
enabled or disabled for each data model object (DMO) field in the DMO record home.
Value suggestion can help users to identify and select text attributes from a picklist of
options, without having to type or remember the exact values. Value suggestion can also
reduce errors and improve data quality by ensuring consistent and valid values for the
segment filters. References: Use Value Suggestions in Segmentation, Considerations for Selecting Related Attributes
Question # 28
What is the result of a segmentation criteria filtering on City | Is Equal To | 'San José'?
A. Cities containing 'San José’, 'San Jose’, 'san jose’, or 'san jose’ B. Cities only containing 'San Jose' or 'san jose’ C. Cities only containing 'San Jose' or 'San Jose' D. Cities only containing 'San José’ or 'san josé'
Answer: D
Explanation: The result of a segmentation criteria filtering on City | Is Equal To | ‘San
José’ is cities only containing 'San José’ or ‘san josé’. This is because the segmentation
criteria is case-sensitive and accent-sensitive, meaning that it will only match the exact
value that is entered in the filter1. Therefore, cities containing 'San Jose’, 'san jose’, or ‘San
Jose’ will not be included in the result, as they do not match the filter value exactly. To
include cities with different variations of the name ‘San José’, you would need to use the
OR operator and add multiple filter values, such as ‘San José’ OR ‘San Jose’ OR ‘san jose’
OR 'san josé’2. References: Segmentation Criteria, Segmentation Operators
Question # 29
During discovery, which feature should a consultant highlight for a customer who hasmultiple datasources and needs to match andreconcile data about individuals into a singleunified profile?
A. Harmonization B. Data Cleansing C. Data Consolidation D. Identity Resolution
Answer: D
Explanation: The feature that the consultant should highlight for a customer who has
multiple data sources and needs to match and reconcile data about individuals into a single
unified profile is D. Identity Resolution. Identity Resolution is the process of identifying,
matching, and reconciling data about individuals across different data sources and creating
a unified profile that represents a single view of the customer. Identity Resolution uses
various methods and rules to determine the best match and reconciliation of data, such as
deterministic matching, probabilistic matching, reconciliation rules, and identity graphs.
Identity Resolution enables the customer to have a complete and accurate understanding
of their customers and their interactions across different channels and
touchpoints. References: Salesforce Data Cloud Consultant Exam Guide, Identity
Resolution
Question # 30
What does the Ignore Empty Value option do in identity resolution?
A. Ignores empty fields when running any custom match rules B. Ignores empty fields when running reconciliation rules C. Ignores Individual object records with empty fields when running identity resolution rules D. Ignores empty fields when running the standard match rules
Answer: B
Explanation: The Ignore Empty Value option in identity resolution allows customers to
ignore empty fields when running reconciliation rules. Reconciliation rules are used to
determine the final value of an attribute for a unified individual profile, based on the values
from different sources. The Ignore Empty Value option can be set to true or false for each
attribute in a reconciliation rule. If set to true, the reconciliation rule will skip any source that has an empty value for that attribute and move on to the next source in the priority order. If
set to false, the reconciliation rule will consider any source that has an empty value for that
attribute as a valid source and use it to populate the attribute value for the unified individual
profile.
The other options are not correct descriptions of what the Ignore Empty Value option does
in identity resolution. The Ignore Empty Value option does not affect the custom match
rules or the standard match rules, which are used to identify and link individuals across
different sources based on their attributes. The Ignore Empty Value option also does not
ignore individual object records with empty fields when running identity resolution rules, as
identity resolution rules operate on the attribute level, not the record level.
References:
Data Cloud Identity Resolution Reconciliation Rule Input
Configure Identity Resolution Rulesets
Data and Identity in Data Cloud
Question # 31
During a privacy law discussion with a customer, the customer indicates they need to honorrequests for the right to be forgotten. The consultant determines that Consent API will solvethisbusiness need.Which two considerations should the consultant inform the customer about?Choose 2 answers
A. Data deletion requests are reprocessed at 30, 60, and 90 days. B. Data deletion requests are processed within 1 hour. C. Data deletion requests are submitted for Individual profiles. D. Data deletion requests submitted to Data Cloud are passed to all connected Salesforceclouds.
Answer: C,D
Explanation:
When advising a customer about using the Consent API in Salesforce to comply with
requests for the right to be forgotten, the consultant should focus on two primary
considerations:
Data deletion requests are submitted for Individual profiles (Answer C): The
Consent API in Salesforce is designed to handle data deletion requests specifically
for individual profiles. This means that when a request is made to delete data, it is
targeted at the personal data associated with an individual's profile in the
Salesforce system. The consultant should inform the customer that the requests
must be specific to individual profiles to ensure accurate processing and
compliance with privacy laws.
Data deletion requests submitted to Data Cloud are passed to all connected
Salesforce clouds (Answer D): When a data deletion request is made through the
Consent API in Salesforce Data Cloud, the request is not limited to the Data Cloud
alone. Instead, it propagates through all connected Salesforce clouds, such as
Sales Cloud, Service Cloud, Marketing Cloud, etc. This ensures comprehensive
compliance with the right to be forgotten across the entire Salesforce ecosystem.
The customer should be aware that the deletion request will affect all instances of
the individual’s data across the connected Salesforce environments.
What our clients say about Data-Cloud-Consultant Practice Questions
Caleb Levesque
Apr 28, 2024
Data-Cloud-Consultant real exam questions are not just another resource; they mentor your whole Salesforce certification journey. The Salesforcexamdumps's team is genius for covering the Customer 360 Exam Insights. I found a goldmine for attaining success.
Grayson Davis
Apr 27, 2024
I appreciate the efforts put into making the Data-Cloud-Consultant dumps. Salesforcexamdumps’s commitment to quality education is unmatched. Make the wise decision and add the Salesforce Exam Dumps to your study plan. The success will come running to you.
Ryan Davis
Apr 27, 2024
Data-Cloud-Consultant Dumps changed the way I used to see the Salesforce Exam Preparation! Salesforcexamdumps’s comprehensive Data-Cloud- Consultant Study Guide is a must-have. I could not have passed if not for in-depth insights into the exam from Data-Cloud-Consultant Question Answers.
Jacob Wilson
Apr 26, 2024
I have always found the Salesforce Reporting Techniques hard to follow. However, the Data-Cloud-Consultant dumps on the website proved instrumental in gaining excellence in Salesforce Data Cloud Consultant preparation. Their materials were the secret of my exam success.
Zayne Evans
Apr 26, 2024
Thanks to Salesforce Data Cloud Exam Dumps, I am now a Salesforce Certified Professional. Do not even start about the benefits passing my certification exam has also gained me. The Data-Cloud-Consultant Practice Test proved effective in grasping concepts like Salesforce Data Management Essentials.
Fakaruddin Mital
Apr 25, 2024
I highly recommend Salesforcexamdumps’s Data-Cloud-Consultant Braindumps if you are troubled with the Data Migration Strategies for Salesforce. These guys have built a detailed Data-Cloud-Consultant study guide that helps navigate through complex migration scenarios. I was well-prepared for the exam and succeeded without sweat.
Virat Kuruvilla
Apr 25, 2024
Excellent commitment Salesforcexamdumps! I am astonished someone can make their Data-Cloud-Consultant practice test so perfect. Plus, the Salesforce Data Cloud Overview they gave in their comprehensive resources provided a solid foundation for success.
Paul Allen
Apr 24, 2024
I am amazed at how impactful a role the Salesforce Certification Study Materials from Salesforcexamdumps played in my success. The Data-Cloud-Consultant Real Exam Questions were spot-on. They helped me tackle the questions in the actual exam with ease.
Aiden Jones
Apr 24, 2024
The Data-Cloud-Consultant practice test should be your go-to resource If you want a resource covering the Salesforce Analytics and Reporting Best Practices the best. Salesforcexamdumps has not built a name for its comprehensive guides for nothing. They are perfect for grasping complex reporting concepts, making them easy to grasp.
Benjamin Johnson
Apr 23, 2024
The Data Cloud Consultant Practice Tests on Salesforcexamdumps are simply the best! The Data-Cloud-Consultant braindumps closely mirror the actual exam environment. No doubt, this is an invaluable resource for anyone aiming to pass a Salesforce Certification.
Hudson Richard
Apr 23, 2024
Salesforcexamdumps is a one-stop shop for all your certification needs. Data-Cloud-Consultant Practice Test mirrors the exam format and approach to the point you feel like taking the real exam. What sets the Salesforce Data-Cloud-Consultant Certification dumps apart is that they are the most accurate and up-to-date materials.
Gaurav Chatterjee
Apr 22, 2024
Have you tried the Salesforcexamdumps's Salesforce API and Integration Guide yet? Well, you should. You’ll be in for some invaluable insights into the exam intricacies, a fantastic set of Data-Cloud-Consultant Question Answers, and a deep dive into the fundamental aspect of the exam. Passing the exam is a sure outcome after all that.
Manoj Tata
Apr 22, 2024
Salesforcexamdumps is for anyone considering CRM Certification Prep. Look no further than Data-Cloud-Consultant braindumps here. They have done us a massive favor with the Salesforce Security Model Explained in training. Understanding and implementing the Salesforce platform features has become smoother.
Ramesh Ratta
Apr 21, 2024
The Salesforcexamdumps houses the best Certification resources for the Salesforce Data-Cloud-Consultant Certification Question Answers. They were helpful, result-oriented, and brilliantly mimicked the actual exam. I was able to gauge my preparedness and succeed in the end.
Lincoln Evans
Apr 21, 2024
Salesforcexamdumps's Data Cloud Consultant Mock Exams were a gem! The Data-Cloud-Consultant Braindumps gives you the feel of the real exam and is invaluable in assessing your skill level. Plus, the Data-Cloud-Consultant practice test guided me to remove any mistakes in my training, making my journey much smoother.
Leave a comment
Your email address will not be published. Required fields are marked *
Caleb Levesque
Grayson Davis
Ryan Davis
Jacob Wilson
Aiden Jones
Leave a comment
Your email address will not be published. Required fields are marked *