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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

SectionWeightObjectives
Data Ingestion and Modeling20%- Data modeling best practices
- Data validation and inspection
- Ingestion from various sources
- Transformation and mapping
Data Cloud Overview18%- Business value and use cases
- Core concepts and terminology
- Architecture and ecosystem
Segmentation and Insights18%- Calculated vs streaming insights
- Insight implementation
- Segment membership analysis
- Segment creation and configuration
Identity Resolution14%- Identity use cases
- Matching and reconciliation rules
- Unified profile creation
- Conflict resolution
Act on Data18%- Activation concepts and use cases
- Troubleshooting activations
- Process automation and triggering
- Attribute usage and management
Data Cloud Setup and Administration12%- Permissions and access control
- Monitoring and maintenance tools
- Data streams and data bundles
- Data spaces and configuration

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Salesforce Data Cloud Accredited Professional Exam Sample Questions (Q32-Q37):

NEW QUESTION # 32
A customer has requested that their personal data be deleted. Which action should be performed to accommodate this request in Data Cloud?

Answer: B

Explanation:
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. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm&type=5


NEW QUESTION # 33
How can attribute names be modified to match a naming convention in CloudFile Storage target?

Answer: A

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=5


NEW QUESTION # 34
The leadership team at Cumulus Financial has declared that customers who have deposited more than
$250,000 in the last 5 years and who are not using advisory services, will be the central focus for all new campaigns in the next year. Which two features support this need?

Answer: B,D

Explanation:
These two features support the need to calculate each customer's lifetime value (LTV) and create breakdowns of the revenue sourced by different channels. Calculated Insight allows you to create complex calculations based on stored data, such as LTV. Segment allows you to create audiences based on different criteria, such as revenue source. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_calculated_insights.htm&type=5
https://help.salesforce.com/s/articleView?id=sf.c360_a_segmentation.htm&type=5


NEW QUESTION # 35
Northern Trail Outfitters wants to be able to calculate each customer's lifetime value (LTV) but also create breakdowns of the revenue sourced by website, mobile app, and retail channels. How should this use case be addressed in Data Cloud?

Answer: C

Explanation:
This feature can help Northern Trail Outfitters calculate each customer's lifetime value (LTV) and create breakdowns of the revenue sourced by different channels. Streaming data transformations allow you to transform and enrich streaming data from different sources using formulas and operators. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_streaming_data_transform.htm&type=5


NEW QUESTION # 36
A consultant is setting up Data Cloud for a multi-brand organization and is using data spaces to segregate its data for various brands.
While starting the mapping of a data stream, the consultant notices that they cannot map the object for one of the brands.
What should the consultant do to make the object available for a new data space?

Answer: A

Explanation:
When setting up Data Cloud for a multi-brand organization, if a consultant cannot map an object for one of the brands during data stream setup, they should navigate to the Data Space tab and select the object to include it in the new data space. Here's why:
Understanding the Issue
The consultant is using data spaces to segregate data for different brands.
While mapping a data stream, they notice that an object is unavailable for one of the brands.
This indicates that the object has not been associated with the new data space.
Why Navigate to the Data Space Tab?
Data Spaces and Object Availability :
Objects must be explicitly added to a data space before they can be used in mappings or transformations within that space.
If an object is missing, it means it has not been included in the data space configuration.
Solution Approach :
By navigating to the Data Space tab , the consultant can add the required object to the new data space.
This ensures the object becomes available for mapping and use in the data stream.
Steps to Resolve the Issue
Step 1: Navigate to the Data Space Tab
Go to Data Cloud > Data Spaces and locate the new data space for the brand.
Step 2: Add the Missing Object
Select the data space and click on Edit .
Add the required object (e.g., a Data Model Object or Data Lake Object) to the data space.
Step 3: Save and Verify
Save the changes and return to the data stream setup.
Verify that the object is now available for mapping.
Step 4: Complete the Mapping
Proceed with mapping the object in the data stream.
Why Not Other Options?
A). Create a new data stream and map the second data stream to the data space :Creating a new data stream is unnecessary if the issue is simply object availability in the data space.
B). Copy data from the default data space to a new DMO using the Data Copy feature and link this DMO to the new data space :This is overly complex and not required if the object can simply be added to the data space.
C). Create a batch transform to split data between different data spaces :Batch transforms are used for data processing, not for resolving object availability issues.
Conclusion
The correct solution is to navigate to the Data Space tab and select the object to include it in the new data space . This ensures the object is available for mapping and resolves the issue efficiently.


NEW QUESTION # 37
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