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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

Salesforce Data Cloud Accredited Professional Sample Questions:

1. A Data Cloud consultant tries to save a new 1-to-l relationship between the Account DMO and Contact Point Address DMO but gets an error.
What should the consultant do to fix this error?

A) Change the cardinality to many-to-one to accommodate multiple contacts per account.
B) Map additional fields to the Contact Point Address DMO.
C) Map Account to Contact Point Email and Contact Point Phone also.
D) Make sure that the total account records are high enough for Identity resolution.

2. 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) Calculated insight
B) Profile Explorer
C) Report
D) Dashboard

3. Northern Trail Outfitters wants to use some of its Marketing Cloud data in Data Cloud.
Which engagement channel data will require custom integration?

A) CloudPage
B) SMS
C) Mobile push
D) Email

4. A consultant is preparing to implement Data Cloud.
Which ethic should the consultant adhere to regarding customer data?

A) Allow senior leaders in the firm to access customer data for audit purposes.
B) Map sensitive data to the same DMO for ease of deletion.
C) Carefully consider asking for sensitive data such as age, gender, or ethnicity.
D) Collect and use all of the data to create more personalized experiences.

5. A global fashion retailer operates online sales platforms across AMFR, FMFA, and APAC. the data formats for customer, order, and product Information vary by region, and compliance regulations require data to remain unchanged in the original data sources They also require a unified view of customer profiles for real- time personalization and analytics.
Given these requirement, which transformation approach should the company implement to standardise and cleanse incoming data streams?

A) Use Apex to transform and cleanse data.
B) Implement streaming data transformations.
C) Implement batch data transformations.
D) Transform data before ingesting into Data Cloud.

Solutions: