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.