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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

Salesforce Data Cloud Accredited Professional Sample Questions:

1. Which data model subject area should be used for any Organization, Individual, or Member in the Customer
360 data model?

A) Engagement
B) Party
C) Global Account
D) Membership

2. A consultant needs to package Data Cloud components from one
organization to another.
Which two Data Cloud components should the consultant include in a
data kit to achieve this goal?
Choose 2 answers

A) Segments
B) Identity resolution rulesets
C) Calculated insights
D) Data model objects

3. Which tool allows users to visualize and analyze unified customer data in Data Cloud?

A) Salesforce CLI
B) Einstein Analytics
C) Tableau
D) Heroku

4. A consultant is helping a beauty company ingest its profile data into Data Cloud. The company's source data includes several fields, such as eye color, skin type, and hair color, that are not fields in the standard Individual data model object (DMO).
What should the consultant recommend to map this data to be used for both segmentation and identity resolution?

A) Create a custom DMO from scratch that has all fields that are needed.
B) Create custom fields on the standard Individual DMO.
C) Duplicate the standard Individual DMO and add the additional fields.
D) Create a custom DMO with only the additional fields and map it to the standard Individual DMO.

5. 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 formula field to standardize the format.
C) Create a calculated insight after ingestion.
D) Edit and update the data in the source system prior to sending to Data Cloud.

Solutions: