Salesforce Data-Cloud-Consultant Question Answers

Question # 1

If a data source does not have a field that can be designated as a primary key, what should the consultant do? 

A. Use the default primary key recommended by Data Cloud.
B. Create a composite key by combining two or more source fields through a formula field.
C. Select a field as a primary key and then add a key qualifier.
D. Remove duplicates from the data source and then select a primary key.

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Question # 2

A customer has two Data Cloud orgs. A new configuration has been completed and tested for an Amazon S3 data stream and its mappings in one of the Data Cloud orgs. What is recommended to package and promote this configuration to the customer's second org? 

A. Use the Metadata API.
B. Use the Salesforce CRM connector.
C. Create a data kit.
D. Package as an AppExchange application.

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Question # 3

A consultant at Northern Trail Outfitters is attempting to ingest a field from the Contact object in Salesforce CRM that contains both yyyy-mm-dd and yyyy-mm-dd hh:mm:ss values. The target field is set to Date datatype. Which statement is true in this situation? 

A. The target field will throw an error and store null values.
B. The target field will be able to hold both types of values.
C. The target field will only hold the time part and ignore the date part.
D. The target field will only hold the date part and ignore the time part.

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Question # 4

A segment fails to refresh with the error "Segment references too many data lake objects (DLOS)". Which two troubleshooting tips should help remedy this issue? Choose 2 answers 

A. Split the segment into smaller segments.
B. Use calculated insights in order to reduce the complexity of the segmentation query.
C. Refine segmentation criteria to limit up to five custom data model objects (DMOs).
D. Space out the segment schedules to reduce DLO load.

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Question # 5

What is the primary purpose of Data Cloud?

A. Providing a golden record of a customer
B. Managing sales cycles and opportunities
C. Analyzing marketing data results
D. Integrating and unifying customer data

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Question # 6

Which two dependencies need to be removed prior to disconnecting a data source? Choose 2 answers 

A. Activation target
B. Segment
C. Activation
D. Data stream

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Question # 7

A consultant is ingesting a list of employees from their human resources database that they want to segment on. Which data stream category should the consultant choose when ingesting this data? 

A. Profile Data
B. Contact Data
C. Other Data
D. Engagement Data

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Question # 8

A company is seeking advice from a consultant on how to address the challenge of having multiple leads and contacts in Salesforce that share the same email address. The consultant wants to provide a detailed and comprehensive explanation on how Data Cloud can be leveraged to effectively solve this issue. What should the consultant highlight to address this company's business challenge? 

A. Data Bundles
B. Calculated Insights
C. Identity Resolution
D. Identity Resolution

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Question # 9

Northern Trail Outfitters (NTO) is getting ready to start ingesting its CRM data into Data Cloud. While setting up the connector, which type of refresh should NTO expect when the data stream is deployed for the first time? 

A. Incremental
B. Manual refresh
C. Partial refresh
D. Full refresh

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Question # 10

What are the two minimum requirements needed when using the Visual Insights Builder to create a calculated insight? Choose 2 answers 

A. At least one measure
B. At least one dimension
C. At least two objects to Join
D. A WHERE clause

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Few More Salesforce Data-Cloud-Consultant Exact Exam Questions:

Question # 1. Which two dependencies prevent a data stream from being deleted? Choose 2 answers.

A. The underlying data lake object is used in activation.
B. The underlying data lake object is used in a data transform.
C. The underlying data lake object is mapped to a data model object.
D. The underlying data lake object is used in segmentation.
Answer: B,C

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Question # 2. A client wants to bring in loyalty data from a custom object in Salesforce CRM that contains a point balance for accrued hotel points and airline points within the same record. The client wants to 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.

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Question # 3. Which two steps should a consultant take if a successfully configured Amazon S3 data stream fails to refresh with a "NO FILE FOUND" error message? Choose 2 answers
A. Check if correct permissions are configured for the Data Cloud user.
B. Check if the Amazon S3 data source is enabled in Data Cloud Setup.
C. Check If the file exists in the specified bucket location.
D. Check if correct permissions are configured for the S3 user.
Answer: A,C
Explanation: A "NO FILE FOUND" error message indicates that Data Cloud cannot access or locate the file from the Amazon S3 source. There are two possible reasons for this error and two corresponding steps that a consultant should take to troubleshoot it:
The Data Cloud user does not have the correct permissions to read the file from the Amazon S3 bucket. This could happen if the user's permission set or profile does not include the Data Cloud Data Stream Read permission, or if the user's Amazon S3 credentials are invalid or expired. To fix this issue, the consultant should check and update the user's permissions and credentials in Data Cloud and Amazon S3, respectively.
The file does not exist in the specified bucket location. This could happen if the file name or path has changed, or if the file has been deleted or moved from the Amazon S3 bucket. To fix this issue, the consultant should check and verify the file name and path in the Amazon S3 bucket, and update the data stream configuration in Data Cloud accordingly.

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Question # 4. 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

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Question # 5. A customer is concerned that the consolidation rate displayed in the identity resolution is quite low compared to their initial estimations.
Which configuration change should a consultant consider in order to increase the consolidation rate?
A. Change reconciliation rules to Most Occurring.
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. Reference: Identity Resolution Calculated Insight: Consolidation Rates for Unified Profiles, Identity Resolution Ruleset Processing Results, Configure Identity Resolution Rulesets

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Question # 6. When creating a segment on an individual, what is the result of using two separate containers linked by an AND as shown below? GoodsProduct | Count | At Least | 1 Color | Is Equal To | red AND GoodsProduct | Count | At Least | 1 PrimaryProductCategory | Is Equal To | shoes
A. Individuals who purchased at least one of any red' product and also purchased at least one pair of `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.

Salesforce Data-Cloud-Consultant Frequently Asked Questions