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Salesforce Data-Cloud-Consultant Exam With Confidence Using Practice Dumps

Exam Code:
Data-Cloud-Consultant
Exam Name:
Salesforce Certified Data Cloud Consultant (Data-Con-101)
Certification:
Vendor:
Questions:
167
Last Updated:
Mar 15, 2026
Exam Status:
Stable
Salesforce Data-Cloud-Consultant

Data-Cloud-Consultant: Salesforce Data Cloud Exam 2025 Study Guide Pdf and Test Engine

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Salesforce Certified Data Cloud Consultant (Data-Con-101) Questions and Answers

Question 1

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?

Options:

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 automatically suppress individuals who are unengaged and have not opened or clicked on an email in the last six months.

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 apply a frequency cap and limit the number of records that can be sent in an activation.

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Question 2

Cumulus Financial uses calculated insights to compute the total banking value per branch for its high net worth customers. In the

calculated insight, "banking value" is a metric, "branch" is a dimension, and "high net worth" is a filter.

What can be included as an attribute in activation?

Options:

A.

"high net worth" (filter)

B.

"branch" (dimension) and "banking metric)

C.

"banking value" (metric)

D.

"branch" (dimension)

Question 3

A company wants to test its marketing campaigns with different target populations.

What should the consultant adjust in the Segment Canvas interface to get different populations?

Options:

A.

Direct attributes, related attributes, and population filters

B.

Segmentation filters, direct attributions, and data sources

C.

Direct attributes and related attributes

D.

Population filters and direct attributes