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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Segmentation and Activation | - Segmentation logic and audience building - Activation to Salesforce and external systems |
| Identity Resolution and Unification | - Identity resolution rules - Unified customer profile concepts |
| Salesforce Data Cloud Fundamentals | - Data Cloud value and use cases - Core concepts and architecture |
| Data Ingestion and Data Modeling | - Data model objects and harmonization - Data sources and ingestion methods |
| Data Governance and Privacy | - Data privacy and compliance concepts - Security and data access controls |
Salesforce Data Cloud Accredited Professional Sample Questions:
The recruiting team at Cumulus Financial wants to identify which candidates have browsed the jobs page on its website at least twice within the last 24 hours. They want the information about these candidates to be available for segmentation in Data Cloud and the candidates added to their recruiting system.
Which feature should a consultant recommend to achieve this goal?
- A. Streaming insight
- B. Batch bata transform
- C. Calculated insight
- D. Streaming data transform
Correct Answer: A 🗳️
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A customer requests that their personal data be deleted.
Which action should the consultant take to accommodate this request in Data Cloud?
- A. Use a streaming API call to delete the customer's information.
- B. Use the Data Rights Subject Request tool to request deletion of the customer's information.
- C. Use Profile Explorer to delete the customer data from Data Cloud.
- D. Use Consent API to request deletion of the customer's information.
Correct Answer: B 🗳️
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. Segmentation exclude rules
- B. Streaming insight
- C. Related attributes
- D. Batch transforms
Correct Answer: A 🗳️
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Luxury Retailers created a segment targeting high value customers that it activates through Marketing Cloud for email communication. The company notices that the activated count is smaller than the segment count.
What is a reason for this?
- A. Data Cloud enforces the presence of Contact Point for Marketing Cloud activations. If the individual does not have a related Contact Point, it will not be activated.
- B. Marketing Cloud activations only activate those individuals that already exist in Marketing Cloud. They do not allow activation of new records.
- C. Marketing Cloud activations automatically suppress individuals who are unengaged and have not opened or clicked on an email in the last six months.
- D. Marketing Cloud activations apply a frequency cap and limit the number of records that can be sent in an activation.
Correct Answer: A 🗳️
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A customer creates a large segment of customers that placed orders in the last 30 days, and adds related attributes from the... to the activation. Upon checking the activation in Marketing Cloud, they notice It contains orders that are older than 30 days.
What should a consultant do to resolve this issue?
- A. use data graphs that contain only 30 days of data.
- B. Apply a data space fitter to exclude orders older than 30 days.
- C. Apply a filter to Purchase Order Date to exclude orders older than 30 days.
- D. Use SQL in Marketing Cloud Engagement to remove orders older than 30 days.
Correct Answer: C 🗳️
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