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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Cloud Overview | 18% | - Architecture and ecosystem - Core concepts and terminology - Business value and use cases |
| Topic 2: Segmentation and Insights | 18% | - Segment creation and configuration - Segment membership analysis - Insight implementation - Calculated vs streaming insights |
| Topic 3: Data Ingestion and Modeling | 20% | - Data validation and inspection - Data modeling best practices - Transformation and mapping - Ingestion from various sources |
| Topic 4: Identity Resolution | 14% | - Conflict resolution - Unified profile creation - Identity use cases - Matching and reconciliation rules |
| Topic 5: Data Cloud Setup and Administration | 12% | - Permissions and access control - Data streams and data bundles - Data spaces and configuration - Monitoring and maintenance tools |
| Topic 6: Act on Data | 18% | - Process automation and triggering - Activation concepts and use cases - Attribute usage and management - Troubleshooting activations |
Salesforce Data Cloud Accredited Professional Sample Questions:
An organization wants to enable users with the ability to identify and select text attributes from a picklist of options.
Which Data Cloud feature should help with this use case?
- A. Transformation formulas
- B. Global picklists
- C. Value suggestion
- D. Data harmonization
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Northern Trail Outfitters uploads new customer data to an Amazon S3 Bucket on a daily basis to be ingested in Data Cloud. Based on this, a calculated insight is created that shows the total spend per customer in the last
30 days.
In which sequence should each process be run to ensure that freshly imported data is ready and available to use for any segment?
- A. Identity Resolution > Refresh Data Stream > Calculated Insight
- B. Refresh Data Stream > Calculated Insight > Identity Resolution
- C. Refresh Data Stream > Identity Resolution > Calculated Insight
- D. Calculated Insight > Refresh Data Stream > Identity Resolution
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Northern Trail Outfitters (NTO) is configuring an identity resolution ruleset based on Fuzzy Name and Normalized Email.
What should NTO do to ensure the best email address is activated?
- A. Use the source priority order in activations to make sure a contact point from the desired sourceis delivered to the activation target.
- B. Set the default reconciliation rule to Last Updated.
- C. Include Contact Point Email object Is Active field as a match rule.
- D. Ensure Marketing Cloud is prioritized as the first data source in the Source Priority reconciliationrule.
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An analyst from Cloud Kicks needs to get quick Insights to determine the average sales per day during the past week.
What should a consultant recommend?
- A. Salesforce reports
- B. Lightning web component utilizing Query API
- C. salesforce flows
- D. Segment activation to Azure
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Northern Trail Outfitters (NTO) owns and operates six unique brands, each with their own set of customers, transactions, and loyalty information. The marketing director wants to ensure that segments and activations from the NTO Outlet brand do not reference customers or transactions from the other brands.
What is the most efficient approach to handle this requirement?
- A. Create a batch data transform to generate a DLO for the Outlet brand.
- B. Separate the Outlet brand into a data space.
- C. Use Business Unit Aware activation.
- D. Separate the brands into six different data spaces.
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