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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

SectionObjectives
Data Governance and Privacy- Data privacy and compliance concepts
- Security and data access controls
Data Ingestion and Data Modeling- Data sources and ingestion methods
- Data model objects and harmonization
Salesforce Data Cloud Fundamentals- Core concepts and architecture
- Data Cloud value and use cases
Identity Resolution and Unification- Unified customer profile concepts
- Identity resolution rules
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 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?

A. 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.
B. Create a batch transform to split data between different data spaces.
C. Create a new data stream and map the second data stream to the data space.
D. Navigate to the Data Space tab and select the object to be included in the new data space.


Question 2

A consultant is helping a beauty company ingest its profile data into Data Cloud. The company's source data includes several fields, such as eye color, skin type, and hair color, that are not fields in the standard Individual data model object (DMO).
What should the consultant recommend to map this data to be used for both segmentation and identity resolution?

A. Duplicate the standard Individual DMO and add the additional fields.
B. Create a custom DMO from scratch that has all fields that are needed.
C. Create custom fields on the standard Individual DMO.
D. Create a custom DMO with only the additional fields and map it to the standard Individual DMO.


Question 3

What is the role of artificial intelligence (AI) in Data Cloud?

A. Creating dynamic data-driven management dashboards
B. Generating email templates for use cases
C. Enhancing customer interactions through insights and predictions
D. Automating data validation


Question 4

What does the Source Sequence reconciliation rule do in identity resolution?

A. Sets the priority of specific data sources when building attributes in a unified profile, such as afirst or last name
B. Identifies which individual records should be merged into a unified profile by setting a priority forspecific data sources
C. Includes data from sources where the data is most frequently occurring
D. Identifies which data sources should be used in the process of reconcillation by prioritizing themost recently updated data source


Question 5

A consultant is ingesting a list of employees from their human resources database that they want to segment on.
Which data stream category should the consultant choose when ingesting this data?

A. Profile Data
B. Engagement Data
C. Other Data
D. Contact Data


Solutions:

Question 1
Answer: D
Question 2
Answer: C
Question 3
Answer: C
Question 4
Answer: A
Question 5
Answer: C

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