Data-Cloud-Consultant Practice Test

Salesforce Spring 25 Release -
Updated On 18-Sep-2025

161 Questions

What is a typical use case for Salesforce Data Cloud?

A. Data synchronization across the Salesforce ecosystem

B. Storing CRM data on promises

C. Data harmonization across multiple platforms

D. Sending personalized emails at scale

C.   Data harmonization across multiple platforms

✅ Explanation:
A typical use case for Salesforce Data Cloud is to ingest, unify, and harmonize data from multiple sources and platforms — such as CRM, marketing, commerce, and third-party systems — into a single, unified customer profile.

This enables organizations to:
Break down data silos
Perform identity resolution
Create 360° customer views

Power personalized experiences across channels
❌ Why the other options are incorrect:
A. Data synchronization across the Salesforce ecosystem

❌ While Data Cloud interacts with the Salesforce ecosystem, synchronization is handled more by tools like Salesforce Connect, Change Data Capture, or MuleSoft — not Data Cloud’s primary role.

B. Storing CRM data on premises
❌ Salesforce is a cloud-based platform; Data Cloud does not store data on-premises.

D. Sending personalized emails at scale
❌ This is a use case for Marketing Cloud, not Data Cloud. Data Cloud can inform such
campaigns with unified data, but does not send emails itself.

Cumulus Financial is experiencing delays in publishing multiple segments simultaneously. The company wants to avoid reducing the frequency at which segments are published, while retaining the same segments in place today. Which action should a consultant take to alleviate this issue?

A. Enable rapid segment publishing to all to segment to reduce generation time.

B. Reduce the number of segments being published

C. Increase the Data Cloud segmentation concurrency limit.

D. Adjust the publish schedule start time of each segment to prevent overlapping processes.

D.   Adjust the publish schedule start time of each segment to prevent overlapping processes.

Northern Trail Outfitters wants to create a segment with customers that have purchased in the last 24 hours. The segment data must be as up to date as possible. What should the consultant Implement when creating the segment?

A. Use streaming insights for near real-time segmentation results.

B. Use Einstein segmentation optimization to collect data from the last 24 hours

C. Use rapid segments with a publish interval of 1 hour.

D. Use standard segment with a publish interval of 30 minutes

A.   Use streaming insights for near real-time segmentation results.

Cumulus Financial wants to create a segment of individuals based on transaction history data. This data has been mapped in the data model and is accessible via multiple container paths for segmentation. What happens if the optimal container path for this use case is not selected?

A. Alternate container paths will be suggested before the segment is published.

B. The resulting segment may be smaller or larger than expected

C. Data Cloud segmentation will automatically select the optimal container path.

D. The resulting segment will not be generated.

B.   The resulting segment may be smaller or larger than expected

Northern Trail Outfitters has the following customer data to ingest into Data Cloud and use for segmentation.

  1. Propensity to purchase
  2. Has active membership
  3. Work email address
Which data types should the consultant use when ingesting this data?

A. Number, Text, URL

B. Percent, Boolean, Email

C. Number, Boolean, Text

D. Percent, Number, Email

C.   Number, Boolean, Text

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