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Salesforce Salesforce-Data-Cloud Exam Syllabus Topics:

Salesforce Data Cloud Accredited Professional Sample Questions:

1. How does identity resolution select attributes for unified individuals when there Is conflicting information in the data model?

A) Creates additional rulesets
B) Leverages reconciliation rules
C) Leverages match rules
D) Creates additional contact points

2. 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 theindividual does not have a related Contact Point, it will not be activated.
B) Marketing Cloud activations apply a frequency cap and limit the number of records that can besent in an activation.
C) Marketing Cloud activations only activate those individuals that already exist in Marketing Cloud.They do not allow activation of new records.
D) Marketing Cloud activations automatically suppress individuals who are unengaged and have notopened or clicked on an email in the last six months.

3. A consultant is building a segment to announce a new product launch for customers that have previously purchased black pants.
How should the consultant place attributes for product color and product type from the Order Product object to meet this criteria?

A) Place the attributes for product color and product type in a single container.
B) Place an attribute for the "black" calculated insight to dynamically apply
C) Place the attributes for product and product type as direct attributes.
D) Place the attribute for product color in one container and the attribute for product type in another container.

4. A consultant is integrating an Amazon 53 activated campaign with the customer's destination system.
In order for the destination system to find the metadata about the segment, which file on the 53 will contain this information for processing?

A) The .csv file
B) The json file
C) The .txt file
D) The .zip file

5. Which two dependencies prevent a data stream from being deleted?
Choose 2 answers

A) The underlying data lake object is used in activation.
B) The underlying data lake object is mapped to a data model object.
C) The underlying data lake object is used in segmentation.
D) The underlying data lake object is used in a data transform.

Solutions: