SALESFORCE-DATA-CLOUD UPDATED DEMO & TEST SALESFORCE-DATA-CLOUD ENGINE VERSION

Salesforce-Data-Cloud Updated Demo & Test Salesforce-Data-Cloud Engine Version

Salesforce-Data-Cloud Updated Demo & Test Salesforce-Data-Cloud Engine Version

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Salesforce Data Cloud Accredited Professional Exam Sample Questions (Q60-Q65):

NEW QUESTION # 60
Which two features are impacted by the timezone setting in the org Data Cloud is provisioned in?

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

Answer: B,C

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


NEW QUESTION # 61
What does the Source Sequence reconciliation rule do in Identity Resolution?

  • A. Includes data from sources where the data is alphanumerically sequenced
  • B. Identifies which individual records should be merged into a unified profile by setting a priority for specific data sources
  • C. Sets the priority of specific data sources when building attributes in a unified profile such as a first or last name
  • D. Identifies which data sources should be used in the process of reconciliation by prioritizing the most recently updated data source

Answer: C

Explanation:
The Source Sequence reconciliation rule allows you to sort your data sources in order of most to least preferred for inclusion in a unified profile9. For example, you can specify that data from Marketing Cloud should have higher priority than data from Service Cloud when selecting attributes such as first name or last name.


NEW QUESTION # 62
What happens if no file name is specified in AWS S3 data stream during ingestion?

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

Answer: C

Explanation:
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. Reference: AWS S3 Data Stream


NEW QUESTION # 63
Which three components of Data Cloud can be bundled within a Data Kit?

  • A. Segments
  • B. Identity Resolution Rulesets
  • C. Data Streams
  • D. Data Models
  • E. Calculated Insights

Answer: A,C,D

Explanation:
Explanation
These three components of Data Cloud can be bundled within a Data Kit. A Data Kit is a package that contains data model objects, segments, and data streams that can be installed in another Data Cloud org.
References: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_kit.htm&type=5


NEW QUESTION # 64
What does it mean to build a trust-based, first-party data asset?

  • A. Provide transparency and security for data gathered from individuals who provide consent for its use and receive value in exchange
  • B. Ensure opt-in consents are collected for all email marketing as required by law
  • C. Pass the trust-based compliance rules as a first-party data asset is added to Data Cloud
  • D. Obtain competitive data from reliable sources through interviews, surveys, and polls

Answer: A

Explanation:
This is what it means to build a trust-based, first-party data asset. It involves respecting the privacy and preferences of individuals who share their data with an organization and ensuring that the data is used in a responsible and ethical way. Reference: https://www.salesforce.com/products/genie/overview/


NEW QUESTION # 65
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