MB-910 Describe Dynamics 365 Customer Insights Practice Question
A marketing manager notices that the customer churn prediction model in Dynamics 365 Customer Insights is not updating with new data. What is the most likely cause?
⚠ Common exam trap
Candidates often confuse the refresh of a segment or measure with the refresh of a prediction model, assuming all data artifacts update automatically, when in fact prediction models require an explicit schedule to retrain or re-score with new data.
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 prediction model is not scheduled to refresh
In Dynamics 365 Customer Insights, prediction models are machine learning models that must be explicitly scheduled to refresh on a recurring basis. If the model is not scheduled to refresh, it will not automatically ingest new data, causing the churn predictions to become stale. Option D correctly identifies this as the most likely cause because the model's refresh schedule controls when it re-trains or updates with fresh data.
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 segment is not refreshed
Why it's wrong here
Segments and predictions are independent.
- ✗
The measure is not calculated
Why it's wrong here
Measures are separate from prediction models.
- ✗
The data source connection is lost
Why it's wrong here
This would cause data load failure, but model refresh scheduling is the specific issue.
- ✓
The prediction model is not scheduled to refresh
Why this is correct
Models need a defined schedule to retrain with new data.
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