Data 360 Consultant Segmentation And Insights Practice Question
When configuring a streaming segment in Data Cloud, which THREE limitations or considerations must a consultant keep in mind? Choose 3 options.
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
✓
Streaming segments have limitations on complex multi-object joins and certain SQL operators compared to batch segments.
Streaming segments have specific criteria limitations, rely on streaming-enabled data streams, and support specific operators compared to batch segments.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Streaming segments have limitations on complex multi-object joins and certain SQL operators compared to batch segments.
Why this is correct
Complex joins and heavy aggregations are restricted in streaming segment criteria.
- ✗
Streaming segments are restricted to a maximum refresh frequency of once every 24 hours.
Why it's wrong here
Streaming segments evaluate continuously, not once every 24 hours.
- ✓
Streaming segments automatically update audience membership as qualifying data changes occur.
Why this is correct
Streaming segments evaluate changes in near real-time.
- ✗
Streaming segments can only be published to Marketing Cloud Engagement and no other targets.
Why it's wrong here
Streaming segments support multiple supported activation target types.
- ✓
The underlying Data Lake Objects and Data Streams must have streaming enabled.
Why this is correct
Streaming evaluation requires the data pipeline to support streaming data flow.
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Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Salesforce exam blueprint
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