Salesforce SALESFORCE-DATA-CLOUD Online Practice Questions and Exam Preparation

Salesforce SALESFORCE-DATA-CLOUD Online Questions & Answers

• Question 1:

  Which of the following cannot be used in Segmentation? (Choose 2)

  A. Numeric Measures
  B. Text Measures
  C. Aggregate Functions
  D. Date Time Measures
  B. Text Measures
  D. Date Time Measures

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  explanation:

  Explanation/Reference:

  Text Measures and Date Time Measures cannot be used in Segmentation. Segmentation is the process of creating filtered audience segments based on calculated insights. Calculated insights are metrics that define and calculate multidimensional measures on your data. Only Numeric Measures can be used as calculated insights, because they can be aggregated using functions such as SUM, AVG, MIN, MAX, or COUNT. Text Measures and Date Time Measures are not types of measures, but types of dimensions. Dimensions are fields that can be used to group or filter data, but not to perform calculations. References: Measures and Dimensions

• Question 2:

  Which feature can integrate in real time with Salesforce CRM?

  A. Data Actions
  B. Identity Resolution
  C. CRM Starter Bundle
  D. Data Model Triggers
  A. Data Actions

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  explanation:

  Explanation/Reference:

  This feature can integrate in real time with Salesforce CRM. Data Actions allow you to perform actions on Salesforce CRM records based on Data Cloud data, such as creating, updating, or deleting records.

  References:

  https://help.salesforce.com/s/articleView?id=sf.c360_a_data_actions.htmandtype=5

• Question 3:

  How many calculated insights can be created per tenant?

  A. 5
  B. 10
  C. 50
  D. 100
  C. 50

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  explanation:

  Explanation/Reference:

  The maximum number of calculated insights that can be created per tenant is 50. A calculated insight is a metric that defines and calculates a multidimensional measure on your data. You can use calculated insights to create segments and analyze your data in Data Cloud. You can also use calculated insights to create dashboards and reports in Tableau CRM. References: Calculated Insights

• Question 4:

  A customer has requested that their personal data be deleted. Which action should be performed to accommodate this request in Data Cloud?

  A. Manually delete customer and related records using the Profile Explorer
  B. Use Consent API to request deletion of the customer's information
  C. Utilize the Data Rights Subject Request tool to request deletion of the customer's information
  D. Use Ingestion API to request deletion of the customer's information
  B. Use Consent API to request deletion of the customer's information

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  explanation:

  Explanation/Reference:

  This action should be performed to accommodate the request to delete personal data in Data Cloud. The Consent API allows you to set a consent flag for an individual that prevents further processing of their data and deletes their records

  from source data streams.

  References:

  https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htmandtype=5

• Question 5:

  What happens if no file name is specified in AWS S3 data stream during ingestion?

  A. The system does not fetch any file and the data stream shows an error.
  B. The system chooses the first file found in the S3 bucket
  C. The ingestion setup can't be completed without specifying the filename.
  D. The ingestion setup is completed but the data stream shows 0 records
  A. The system does not fetch any file and the data stream shows an error.

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  explanation:

  Explanation/Reference:

  If no file name is specified in AWS S3 data stream during ingestion, the system does not fetch any file and the data stream shows an error. AWS S3 data stream is a feature that allows you to stream data from Amazon Web Services Simple Storage Service (AWS S3) to Data Cloud in near real time. You need to specify the file name or prefix of the files that you want to ingest from your S3 bucket. If you leave this field blank, the system cannot find any matching files and returns an error message. References: AWS S3 Data Stream

• Question 6:

  When creating a segment on an individual, what is the result of using two separate containers linked by an AND: At Least 1 of GoodsProduct.Color Is Equal To 'red' AND At Least 1 of GoodsProduct.PrimaryProductCategory Is Equal To shoes'?

  A. Individuals who purchased at least 1 of any red' product and also purchased at least 1 pair of shoes'
  B. Individuals who purchased at least 1 'red shoes' as a single line item in a purchase
  C. Individuals who purchased at least 1 'red shoes'. 1 of any red' item, or 1 of any 'shoes' item in a purchase
  D. Individuals who made a purchase of at least 1 of only 'red shoes' and nothing else
  A. Individuals who purchased at least 1 of any red' product and also purchased at least 1 pair of shoes'

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  explanation:

  Explanation/Reference:

  According to the Data Cloud documentation, when using two separate containers linked by an AND operator, the segment includes individuals who meet both conditions. In this case, the segment includes individuals who purchased at least one product with the color attribute equal to `red', and also purchased at least one product with the primary product category attribute equal to `shoes'. The products do not have to be the same or in the same order line item.

• Question 7:

  Which of these is present in Identity Resolution Summary?

  A. Unified Individuals
  B. Last Processing Status
  C. Matched Individuals
  D. All the above
  D. All the above

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  explanation:

  Explanation/Reference:

  The Identity Resolution Summary page shows all the above information: Unified Individuals, Last Processing Status, and Matched Individuals. Unified Individuals are the profiles that Data Cloud creates by linking multiple source profiles based on match rules. Last Processing Status shows the date and time of the last identity resolution run and whether it was successful or not. Matched Individuals shows the number and percentage of source profiles that were matched to a unified individual profile. References: Identity Resolution Summary

• Question 8:

  What is a DMO called if it inherits the name, shape, and semantics of the reference object?

  A. Custom DMO
  B. Standard DMO
  C. Data Lake Object (DLO)
  D. Data Source Object (DSO)
  B. Standard DMO

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  explanation:

  Explanation/Reference:

  A Data Model Object (DMO) that inherits the name, shape, and semantics of the reference object is called a Standard DMO. A reference object is a predefined object in the Data Cloud data model that represents a common entity or concept, such as Individual, Order, or Product. A Standard DMO is a copy of a reference object that you can use to ingest data from a specific source without modifying the original reference object. A Standard DMO has the same fields and relationships as the reference object, but you can add custom fields or relationships to it if needed. References: Data Model Objects

• Question 9:

  Which three actions can be applied to a previously created segment?

  A. Reactivate
  B. Export
  C. Delete
  D. Copy
  E. Inactivate
  B. Export
  C. Delete
  D. Copy

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  explanation:

  Explanation/Reference:

  These three actions can be applied to a previously created segment. You can export a segment to a CSV file, delete a segment from Data Cloud, or copy a segment to create a duplicate segment with the same criteria. References: https://help.salesforce.com/s/articleView?id=sf.c360_a_segmentation_actions.htmandtype=5

• Question 10:

  An administrator has configured the Salesforce CRM connector and set up a data stream for the Case object. A new custom field called "Business Priority" was created on the Case object. However, that field is not available when trying to add it in the data stream. What could be causing this issue?

  A. Custom fields on the Case objects are not supported for ingesting into Data Cloud
  B. Utilize the Salesforce Dataloader application to perform a bulk upload from a desktop
  C. The Data Cloud administrator does not need to do anything. After 24 hours when the data stream refreshes, it will automatically include any new fields that were added to CRM
  D. The Salesforce Integration User is missing "Read" permissions on the newly created field
  D. The Salesforce Integration User is missing "Read" permissions on the newly created field

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  explanation:

  Explanation/Reference:

  One possible reason why a new custom field is not available in the data stream is that the Salesforce Integration User, which is used to connect to the CRM source, does not have "Read" permissions on that field2. To fix this issue, the administrator needs to grant the appropriate permissions to the Integration User profile or permission set.