AI Associate Data for AI Practice Question
A company uses Salesforce Data Cloud to unify customer data from multiple sources. After connecting a data stream, they notice that records are missing from the unified profile. What is the most likely cause?
⚠ Common exam trap
Many exam-takers confuse identity resolution (matching) with reconciliation (merging), assuming that activating identity resolution alone is sufficient to unify profiles, when in fact a reconciliation rule is required to complete the merge process.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The reconciliation rule is not configured for the data source.
Reconciliation rules in Salesforce Data Cloud define how records from different data sources are matched and merged into a unified profile. If a reconciliation rule is not configured for a data source, records from that source may not be properly linked to existing profiles, leading to missing records in the unified view. This is a common configuration step that must be completed after connecting a data stream.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The data stream object is not a standard Salesforce object.
Why it's wrong here
Custom objects can be used as data streams.
- ✗
The data stream is not activated for identity resolution.
Why it's wrong here
Activation is for using the data, not for unification.
- ✗
The data source is not from Salesforce, so it cannot be unified.
Why it's wrong here
Data Cloud supports multiple external sources.
- ✓
The reconciliation rule is not configured for the data source.
Why this is correct
Reconciliation rules are needed to match records across sources.
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