Salesforce Salesforce-Data-Cloud Exam Questions - 100% Exam Passing Guarantee [2026]

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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

SectionObjectives
Data Ingestion and Modeling- Describe data streams and data sources
- Explain data modeling concepts including Data Model Objects (DMOs)
Data Cloud Setup and Administration- Configure Data Cloud settings
- Manage Data Cloud permissions and security
Activation- Describe activation use cases
- Configure activations to various targets
Identity Resolution- Explain the purpose and configuration of Identity Resolution
- Describe matching and reconciliation rules
Data Cloud Reporting and Analytics- Utilize Data Cloud reports and dashboards
Data Cloud Overview- Describe the Data Cloud ecosystem and how it fits into the Salesforce platform
- Explain the purpose and functionality of Data Cloud
Segmentation and Calculated Insights- Create and manage segments
- Explain calculated insights

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Salesforce Data Cloud Accredited Professional Exam Sample Questions (Q53-Q58):

NEW QUESTION # 53
Which two steps are required when configuring a Marketing Cloud activation?

Answer: A,C

Explanation:
These two steps are required when configuring a Marketing Cloud activation. You need to select an activation target that represents a Marketing Cloud business unit and a contact point that represents a Marketing Cloud data extension. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud.htm&type=5


NEW QUESTION # 54
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?

Answer: A

Explanation:
One possible reason why a new custom field is not available inthe 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.


NEW QUESTION # 55
How does Data Cloud handle an individual's right to be forgotten?

Answer: C

Explanation:
This is how Data Cloud handles an individual's right to be forgotten. It deletes the individual record from the Individual data model object (DMO) and any related records from the data stream objects (DSOs) that are mapped to it. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_delete_individual.htm&type=5


NEW QUESTION # 56
When performing segmentation or activation, which time zone is used to publish and refresh data?

Answer: A

Explanation:
The time zone that is used to publish and refresh data when performing segmentation or activation is D. Time zone set by the Salesforce Data Cloud org. This time zone is the one that is configured in the org settings when Data Cloud is provisioned, and it applies to all users and activities in Data Cloud. This time zone determines when the segments are scheduled to refresh and when the activations are scheduled to publish.
Therefore, it is important to consider the time zone difference between the Data Cloud org and the destination systems or channels when planning the segmentation and activation strategies. References: Salesforce Data Cloud Consultant Exam Guide, Segmentation, Activation


NEW QUESTION # 57
What should an organization use to stream inventory levels from an inventory management system into Data Cloud in a fast and scalable, near-real-time way?

Answer: C

Explanation:
The Ingestion API is a RESTful API that allows you to stream data from any source into Data Cloud in a fast and scalable way. You can use the Ingestion API to send data from your inventory management system into Data Cloud as JSON objects, and then use Data Cloud to create data models, segments, and insights based on your inventory data. The Ingestion API supports both batch and streaming modes, and can handle up to
100,000 records per second. The Ingestion API also provides features such as data validation, encryption, compression, and retry mechanisms to ensure data quality and security. References: Ingestion API Developer Guide, Ingest Data into Data Cloud


NEW QUESTION # 58
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