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

Salesforce SALESFORCE-DATA-CLOUD Online Questions & Answers

• Question 91:

  What should an administrator do to pause a segment activation but with the intent of using that segment again?

  A. Inactivate the segment
  B. Delete the segment
  C. Stop the Publish Schedule
  D. Skip the Activation
  C. Stop the Publish Schedule

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  Explanation

  To pause a segment activation but with the intent of using that segment again, the administrator should stop the publish schedule for that segment. This will stop the segment from being refreshed and activated, but it will not delete or inactivate the segment. The administrator can resume the publish schedule at any time.

• Question 92:

  Which two features are impacted by the timezone setting in the org Data Cloud is provisioned in?

  A. Segment Schedule
  B. Identity Resolution
  C. Ingestion Schedule
  D. Activation Schedule
  A. Segment Schedule
  D. Activation Schedule

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  Explanation

  These two features are impacted by the timezone setting in the org Data Cloud is provisioned in. The segment schedule determines how often a segment is refreshed based on the selected timezone. The activation schedule determines how often a segment is exported to an activation target based on the selected timezone.

  References:

  https://help.salesforce.com/s/articleView?id=sf.c360_a_segmentation_schedule.htm&type=5https://help.salesforce.com/s/articleView?id=sf.c360_a_activation_schedule.htm&type=5

• Question 93:

  Which permission setting should an administrator check if the custom CRM object is not available in New Data Stream configuration?

  A. Modify All object permission enabled in Data Cloud org
  B. Ingest Object permission is enabled in the CRM org
  C. Create object permission enabled in Data Cloud org
  D. View All object permission enabled in source CRM org
  D. View All object permission enabled in source CRM org

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  Explanation

  This permission setting should be checked if the custom CRM object is not available in New Data Stream configuration. The user who connects the Salesforce CRM connector must have View All permission for the custom object in the source CRM org.

  References:

  https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_salesforce_crm.htm&type=5

• Question 94:

  A consultant needs to publish segment data to the Audience DMO that can be retrieved using the Query APIs.

  When creating the activation target, which type of target should the consultant select?

  A. Data Cloud
  B. External Activation Target
  C. Marketing Cloud Personalization
  D. Marketing Cloud
  A. Data Cloud

• Question 95:

  Northern Trail Outfitters wants to use some of its Marketing Cloud data in Data Cloud.

  Which engagement channel data will require custom integration?

  A. SMS
  B. Email
  C. CloudPage
  D. Mobile push
  C. CloudPage

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  Explanation

  CloudPage is a web page that can be personalized and hosted by Marketing Cloud. It is not one of the standard engagement channels that Data Cloud supports out of the box. To use CloudPage data in Data Cloud, a custom integration is required. The other engagement channels (SMS, email, and mobile push) are supported by Data Cloud and can be integrated using the Marketing Cloud Connector or the Marketing Cloud API.

  References:

  Data Cloud Overview, Marketing Cloud Connector, Marketing Cloud API

• Question 96:

  Which three out-of-the-box connectors are available for Data Cloud?

  A. Marketing Cloud
  B. B2C Commerce
  C. Slack Connector
  D. Amazon S3
  E. Amazon Redshift Connector
  A. Marketing Cloud
  B. B2C Commerce
  D. Amazon S3

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  Explanation

  These three out-of-the-box connectors are available for Data Cloud. They allow you to ingest data from Marketing Cloud, B2C Commerce, or Amazon S3 into Data Cloud and map it to the Data Cloud data model.

  References:

  https://help.salesforce.com/s/articleView?id=sf.c360_a_connectors.htm&type=5

• Question 97:

  How can attribute names be modified to match a naming convention in Cloud File Storage target?

  A. Update attribute names in the data stream configuration
  B. Update field names in the data model
  C. Set preferred attribute names when configuring activation
  D. Use a formula field to update the field name in an activation
  B. Update field names in the data model

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  Explanation

  You can modify the attribute names in the data model by editing the field label or API name of the corresponding field. This will change how the attribute name appears in the Cloud File Storage target.

  References:

  https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_model.htm&type=

• Question 98:

  A company stores customer data in Marketing Cloud and uses the Marketing Cloud Connector to ingest data into Data Cloud.

  Where does a request for data deletion or right to be forgotten get submitted?

  A. In Data Cloud settings
  B. On the individual data profile in Data Cloud
  C. In Marketing Cloud settings
  D. through Consent API
  D. through Consent API

• Question 99:

  A bank collects customer data for its loan applicants and high net worth customers. A customer can be both a load applicant and a high net worth customer, resulting in duplicate data.

  How should a consultant ingest and map this data in Data Cloud?

  A. Use a data transform to consolidate the data into one DLO and them map it to the individual and Contact Point Email DMOs.
  B. Ingest the data into two DLOs and map each to the individual and Contact point Email DMOs.
  C. Ingest the data into two DLOs and then map to two custom DMOs.
  D. Ingest the data into one DLO and then map to one custom DMO.
  B. Ingest the data into two DLOs and map each to the individual and Contact point Email DMOs.

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  Explanation

  To handle duplicate data for customers who are both loan applicants and high net worth individuals, the consultant should ingest the data into two separate Data Lake Objects (DLOs) and map them to the Individual and Contact Point Email Data Model Objects (DMOs). Here's why and how this works: Understanding the Problem: Customers may exist in both datasets (loan applicants and high net worth individuals), leading to potential duplication. To avoid redundancy while maintaining data integrity, the data must be ingested and mapped carefully. Why Two DLOs? By ingesting the data into two DLOs, you can maintain separation between the two datasets while still leveraging shared attributes (e.g., email addresses). Mapping both DLOs to the Individual and Contact Point Email DMOs ensures that identity resolution can consolidate duplicate records based on shared identifiers like email. Steps to Implement.

  This Solution: Step 1: Create two DLOs-one for loan applicants and another for high net worth customers. Step 2: Map both DLOs to the Individual DMO to consolidate customer profiles. Step 3: Map the email fields from both DLOs to the Contact Point Email DMO to enable identity resolution based on email addresses. Step 4: Configure identity resolution rules to merge duplicate records based on shared attributes like email. Why Not Other Options?

  A. Use a data transform to consolidate the data into one DLO: Consolidating into a single DLO before mapping would lose the distinction between the two datasets and make it harder to manage updates or changes.

  C. Ingest the data into two DLOs and then map to two custom DMOs: Creating custom DMOs is unnecessary complexity when the standard Individual and Contact Point Email DMOs can handle this scenario.

  D. Ingest the data into one DLO and then map to one custom DMO: Using a single DLO would result in data loss or confusion, as the distinction between loan applicants and high net worth customers would be lost. By using two DLOs and mapping them to the standard DMOs, the consultant ensures clean data ingestion and effective identity resolution.

• Question 100:

  Cumulus Financial created a segment called High Investment Balance Customers. This is a foundational segment that includes several segmentation criteria the marketing team should consistently use.

  Which feature should the consultant suggest the marketing team use to ensure this consistency when creating future, more refined segments?

  A. Create new segments using nested segments.
  B. Create a High Investment Balance calculated insight.
  C. Package High Investment Balance Customers in a data kit.
  D. Create new segments by cloning High Investment Balance Customers.
  A. Create new segments using nested segments.

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  Explanation

  Nested segments are segments that include or exclude one or more existing segments. They allow the marketing team to reuse filters and maintain consistency in their data by using an existing segment to build a new one. For example, the marketing team can create a nested segment that includes High Investment Balance Customers and excludes customers who have opted out of email marketing. This way, they can leverage the foundational segment and apply additional criteria without duplicating the rules. The other options are not the best features to ensure consistency because:

  B. A calculated insight is a data object that performs calculations on data lake objects or CRM data and returns a result. It is not a segment and cannot be used for activation or personalization.

  C. A data kit is a bundle of packageable metadata that can be exported and imported across Data Cloud orgs. It is not a feature for creating segments, but rather for sharing components.

  D. Cloning a segment creates a copy of the segment with the same rules and filters. It does not allow the marketing team to add or remove criteria from the original segment, and it may create confusion and redundancy.

  References:

  Create a Nested Segment - Salesforce, Save Time with Nested Segments (Generally Available) - Salesforce, Calculated Insights - Salesforce, Create and Publish a Data Kit Unit | Salesforce Trailhead, Create a Segment in Data Cloud - Salesforce