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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Governance and Privacy | - Data privacy and compliance concepts - Security and data access controls |
| Topic 2: Data Ingestion and Data Modeling | - Data sources and ingestion methods - Data model objects and harmonization |
| Topic 3: Salesforce Data Cloud Fundamentals | - Data Cloud value and use cases - Core concepts and architecture |
| Topic 4: Identity Resolution and Unification | - Unified customer profile concepts - Identity resolution rules |
| Topic 5: Segmentation and Activation | - Activation to Salesforce and external systems - Segmentation logic and audience building |
Salesforce Data Cloud Accredited Professional Sample Questions:
Question 1
A consultant is building a segment to announce a new product launch for customers that have previously purchased black pants.
How should the consultant place attributes for product color and product type from the Order Product object to meet this criteria?
A. Place the attributes for product color and product type in a single container.
B. Place an attribute for the "black" calculated insight to dynamically apply
C. Place the attributes for product and product type as direct attributes.
D. Place the attribute for product color in one container and the attribute for product type in another container.
Question 2
Cumulus Financial uses Service Cloud as its CRM and stores mobile phone, home phone, and work phone as three separate fields for its customers on the Contact record. The company plans to use Data Cloud and ingest the Contact object via the CRM Connector.
What is the most efficient approach that a consultant should take when ingesting this data to ensure all the different phone numbers are properly mapped and available for use in activation?
A. Ingest the Contact object and map the Work Phone, Mobile Phone, and Home Phone to theContact Point Phone data map object from the Contact data stream.
B. Ingest the Contact object and use streaming transforms to normalize the phone numbers fromthe Contact data stream into a separate Phone data lake object (DLO) that contains three rows,and then map this new DLO to the Contact Point Phone data map object.
C. Ingest the Contact object and then create a calculated insight to normalize the phone numbers,and then map to the Contact Point Phone data map object.
D. Ingest the Contact object and create formula fields in the Contact data stream on the phonenumbers, and then map to the Contact Point Phone data map object.
Question 3
A consultant needs to create a data graph based on several DLOs,
Which step should the consultant take to make this work?
A. Map the DLOS to DMOS and use these in the data graph.
B. Use a data action to update the data graph with the DLO data
C. Map the DLOs directly to a data graph.
D. Batch transform the DLOs to multiple DMOs and activate these with the data graph.
Question 4
If a data source does not have a field that can be designated as a primary key, what should the consultant do?
A. Create a composite key by combining two or more source fields through a formula field.
B. Use the default primary key recommended by Data Cloud.
C. Remove duplicates from the data source and then select a primary key.
D. Select a field as a primary key and then add a key qualifier.
Question 5
A customer requests that their personal data be deleted.
Which action should the consultant take to accommodate this request in Data Cloud?
A. Use a streaming API call to delete the customer's information.
B. Use Consent API to request deletion of the customer's information.
C. Use the Data Rights Subject Request tool to request deletion of the customer's information.
D. Use Profile Explorer to delete the customer data from Data Cloud.
Solutions:
| Question 1 Answer: A | Question 2 Answer: B | Question 3 Answer: A | Question 4 Answer: A | Question 5 Answer: C |
