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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Act on Data | 18% | - Troubleshooting activations - Attribute usage and management - Process automation and triggering - Activation concepts and use cases |
| Identity Resolution | 14% | - Conflict resolution - Identity use cases - Matching and reconciliation rules - Unified profile creation |
| Data Ingestion and Modeling | 20% | - Ingestion from various sources - Data validation and inspection - Transformation and mapping - Data modeling best practices |
| Segmentation and Insights | 18% | - Calculated vs streaming insights - Segment creation and configuration - Insight implementation - Segment membership analysis |
| Data Cloud Setup and Administration | 12% | - Permissions and access control - Monitoring and maintenance tools - Data streams and data bundles - Data spaces and configuration |
| Data Cloud Overview | 18% | - Architecture and ecosystem - Core concepts and terminology - Business value and use cases |
Salesforce Data Cloud Accredited Professional Sample Questions:
A rideshare company wants to send an email to customers that provides a year-in-review with five "fun" trip statistics, such as destination, distance traveled, etc. This raw data arrives into Data Cloud and is not aggregated at source.
The company creates a segment of customers that had at least one ride in the last 365 days.
Following best practices, which solution should the consultant recommend in Data Cloud to personalize the content of the email?
- A. Use a data action to send each ride as an event to Marketing Cloud Engagement, then use AMP script to summarize this data in the email.
- B. Use a data transform to aggregate the statistics and map them to direct attributes on Individual to include in the activation.
- C. Create five calculated insights for the activation and add dimension filters.
- D. Include related attributes in the activation for the last 365 days.
Correct Answer: B 🗳️
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Northern Trail Outfitters (NTO) is getting ready to start ingesting its CRM data into Data Cloud.
While setting up the connector, which type of refresh should NTO expect when the data stream is deployed for the first time?
- A. Partial refresh
- B. Manual refresh
- C. Incremental
- D. Full refresh
Correct Answer: D 🗳️
Explanation: Only visible for ActualCollection members. You can sign-up / login (it's free).
A consultant is planning the ingestion of a data stream that has profile information including a mobile phone number.
To ensure that the phone number can be used for future SMS campaigns, they need to confirm the phone number field is in the proper E164 Phone Number format. However, the phone numbers in the file appear to be in varying formats.
What is the most efficient way to guarantee that the various phone number formats are standardized?
- A. Assign the PhoneNumber field type when creating the data stream.
- B. Create a calculated insight after ingestion.
- C. Create a formula field to standardize the format.
- D. Edit and update the data in the source system prior to sending to Data Cloud.
Correct Answer: A 🗳️
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Northern Trail Outfitters (NTO) wants to send a promotional campaign for customers that have purchased within the past 6 months. The consultant created a segment to meet this requirement.
Now, NTO brings an additional requirement to suppress customers who have made purchases within the last week.
What should the consultant use to remove the recent customers?
- A. Streaming insight
- B. Batch transforms
- C. Related attributes
- D. Segmentation exclude rules
Correct Answer: D 🗳️
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Cumulus Financial is currently using Data Cloud and ingesting transactional data from its backend system via an S3 Connector in upsert mode. During the initial setup six months ago, the company created a formula field in Data Cloud to create a custom classification. It now needs to update this formula to account for more classifications.
What should the consultant keep in mind with regard to formula field updates when using the S3 Connector?
- A. Data Cloud will update the formula for all records at the next incremental upsert refresh.
- B. Data Cloud will only update the formula on a go-forward basis for new records.
- C. Data Cloud will initiate a full refresh of data from $3 and will update the formula on all records.
- D. Data Cloud does not support formula field updates for data streams of type upsert.
Correct Answer: C 🗳️
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