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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

Section	Weight	Objectives
Data Cloud Overview	18%	- Architecture and ecosystem - Core concepts and terminology - Business value and use cases
Act on Data	18%	- Activation concepts and use cases - Process automation and triggering - Attribute usage and management - Troubleshooting activations
Data Cloud Setup and Administration	12%	- Data spaces and configuration - Permissions and access control - Data streams and data bundles - Monitoring and maintenance tools
Data Ingestion and Modeling	20%	- Transformation and mapping - Data validation and inspection - Ingestion from various sources - Data modeling best practices
Segmentation and Insights	18%	- Insight implementation - Calculated vs streaming insights - Segment creation and configuration - Segment membership analysis
Identity Resolution	14%	- Identity use cases - Matching and reconciliation rules - Unified profile creation - Conflict resolution

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Salesforce Data Cloud Accredited Professional Exam Sample Questions (Q144-Q149):

NEW QUESTION # 144
Which two objects or fields are supported for ingestion using the Salesforce CRM connector?

A. Standard Big Objects
B. Custom Big Objects
C. Standard Objects
D. Custom Objects

Answer: C,D

Explanation:
These two objects or fields are supported for ingestion using the Salesforce CRM connector. You can select standard or custom objects from your Salesforce CRM org and map them to Data Cloud data model objects. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_salesforce_crm.htm&type=5

NEW QUESTION # 145
How does an administrator increase the consolidation rate for Identity Resolution?

A. Change the Ignore Empty Value option
B. Add more matching rules to broaden the search for matches
C. Change all reconciliation rules to Source Sequence
D. Reduce the number of matching rules

Answer: D

Explanation:
Reducing the number of matching rules can increase the consolidation rate for Identity Resolution, because it reduces the chances of finding multiple matches for the same individual. Matching rules tell Data Cloud which profiles to unify during the identity resolution process. Ifthere are too many matching rules, Data Cloud might find more than one match for a given profile, resulting in a lower consolidation rate. References: Identity Resolution Match Rules

NEW QUESTION # 146
A consultant needs to minimize the difference between a Data Cloud segment population and Marketing Cloud data extension count to determine the true size of segments for campaign planning.
What should the consultant recommend to filter the segments by to accomplish this?

A. Business units
B. Geographical divisions
C. Marketing Cloud Journeys
D. User preferences for marketing outreach

Answer: B

NEW QUESTION # 147
Northern Trail Outfitters uses B2C Commerce and is exploring implementing Data Cloud to get a unified view of its customers and all their order transactions.
What should the consultant keep in mind with regard to historical data ingesting order data using the B2C Commerce Order Bundle?

A. The B2C Commerce Order Bundle does not ingest any historical data and only ingests new orders from that point on.
B. The B2C Commerce Order Bundle ingests 12 months of historical data.
C. The B2C Commerce Order Bundle ingests 6 months of historical data.
D. The B2C Commerce Order Bundle ingests 30 days of historical data.

Answer: A

Explanation:
The B2C Commerce Order Bundle is a data bundle that creates a data stream to flow order data from a B2C Commerce instance to Data Cloud. However, this data bundle does not ingest any historical data and only ingests new orders from the time the data stream is created. Therefore, if a consultant wants to ingest historical order data, they need to use a different method, such as exporting the data from B2C Commerce and importing it to Data Cloud using a CSV file12. References:
Create a B2C Commerce Data Bundle
Data Access and Export for B2C Commerce and Commerce Marketplace

NEW QUESTION # 148
A customer has requested that their personal data be deleted. Which action should be performed to accommodate this request in Data Cloud?

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

Answer: D

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

NEW QUESTION # 149
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