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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Ingestion and Modeling | 20% | - Ingestion from various sources - Transformation and mapping - Data validation and inspection - Data modeling best practices |
| Topic 2: Act on Data | 18% | - Activation concepts and use cases - Troubleshooting activations - Process automation and triggering - Attribute usage and management |
| Topic 3: Identity Resolution | 14% | - Identity use cases - Matching and reconciliation rules - Conflict resolution - Unified profile creation |
| Topic 4: Segmentation and Insights | 18% | - Insight implementation - Segment membership analysis - Segment creation and configuration - Calculated vs streaming insights |
| Topic 5: Data Cloud Setup and Administration | 12% | - Data streams and data bundles - Data spaces and configuration - Permissions and access control - Monitoring and maintenance tools |
| Topic 6: Data Cloud Overview | 18% | - Core concepts and terminology - Business value and use cases - Architecture and ecosystem |
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. Navigate to the Data Space tab and select the object to be included in the new data space.
D. Create a new data stream and map the second data stream to the data space.
Question #2
A consultant at Northern Trail Outfitters is implementing Data Cloud and creating an activation target for their segment.
For activation membership, which object should the consultant choose?
A. Data Lake Object
B. Data Activation Object
C. Data Model Object
D. Data Segmentation Object
Question #3
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 an attribute for the "black" calculated insight to dynamically apply
B. Place the attributes for product color and product type in a single container.
C. Place the attribute for product color in one container and the attribute for product type in another container.
D. Place the attributes for product and product type as direct attributes.
Question #4
Which tool allows users to visualize and analyze unified customer data in Data Cloud?
A. Heroku
B. Salesforce CLI
C. Tableau
D. Einstein Analytics
Question #5
A customer has a requirement to be able to view the last time each segment was published within their Data Cloud org.
Which two features should the consultant recommend to best address this requirement?
Choose 2 answers
A. Dashboard
B. Profile Explorer
C. Calculated insight
D. Report
Solutions:
| Question #1 Correct Answer: C | Question #2 Correct Answer: D | Question #3 Correct Answer: B | Question #4 Correct Answer: C | Question #5 Correct Answer: A,D |


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