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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Ingestion and Data Modeling | - Data sources and ingestion methods - Data model objects and harmonization |
| Identity Resolution and Unification | - Identity resolution rules - Unified customer profile concepts |
| Salesforce Data Cloud Fundamentals | - Core concepts and architecture - Data Cloud value and use cases |
| Data Governance and Privacy | - Security and data access controls - Data privacy and compliance concepts |
| Segmentation and Activation | - Segmentation logic and audience building - Activation to Salesforce and external systems |
Salesforce Data Cloud Accredited Professional Sample Questions:
Northern Trail Outfitters has the following customer data to ingest into Data Cloud and use for segmentation.
1. Propensity to purchase
2. Has active membership
3. Work email address
Which data types should the consultant use when ingesting this data?
- A. Number, Text, URL
- B. Number, Boolean, Text
- C. Percent, Number, Email
- D. Percent, Boolean, Email
Correct Answer: D 🗳️
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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.
In what order should each process be run to ensure that freshly imported data is ready and available to use for any segment?
- A. Calculated Insight > Refresh Data Stream > Identity Resolution
- B. Identity Resolution > Refresh Data Stream > Calculated Insight
- C. Refresh Data Stream > Identity Resolution > Calculated Insight
- D. Refresh Data Stream > Calculated Insight > Identity Resolution
Correct Answer: C 🗳️
Explanation: Only visible for Actual4Exams members. You can sign-up / login (it's free).
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. Calculated Insight > Refresh Data Stream > Identity Resolution
- B. Identity Resolution > Refresh Data Stream > Calculated Insight
- C. Refresh Data Stream > Identity Resolution > Calculated Insight
- D. Refresh Data Stream > Calculated Insight > Identity Resolution
Correct Answer: C 🗳️
Explanation: Only visible for Actual4Exams members. You can sign-up / login (it's free).
A consultant wants to ensure that every segment managed by multiple brand teams adheres to the same set of exclusion criteria, that are updated on a monthly basis.
What is the most efficient option to allow for this capability?
- A. Create, publish, and deploy a data kit.
- B. Create a reusable container block with common criteria.
- C. Create a segment and copy it for each brand.
- D. Create a nested segment.
Correct Answer: B 🗳️
Explanation: Only visible for Actual4Exams members. You can sign-up / login (it's free).
If a data source does not have a field that can be designated as a primary key, what should the consultant do?
- A. Remove duplicates from the data source and then select a primary key.
- B. Create a composite key by combining two or more source fields through a formula field.
- C. Select a field as a primary key and then add a key qualifier.
- D. Use the default primary key recommended by Data Cloud.
Correct Answer: B 🗳️
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