MB-910 Describe Dynamics 365 Customer Insights Practice Question
A marketing team wants to use Dynamics 365 Customer Insights to predict which customers are likely to churn. They have historical data on customer interactions and purchases. What should they create first?
⚠ Common exam trap
Many candidates assume a predictive model can be created immediately from raw data, overlooking the prerequisite of data unification which is the critical first step in Customer Insights.
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
✓
A customer data unification process
Before any predictive analysis can be performed, the customer data must be unified into a single, coherent profile. In Dynamics 365 Customer Insights, the customer data unification process (data ingestion, mapping, matching, and merging) creates a unified customer entity. Without this unified view, predictive models cannot accurately identify churn patterns because they would be operating on fragmented or duplicated 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.
- ✗
A segment
Why it's wrong here
Created after predictions.
- ✓
A customer data unification process
Why this is correct
Unifies data into single profiles.
- ✗
A predictive model
Why it's wrong here
Requires unified profiles first.
- ✗
An enrichment
Why it's wrong here
Done after unification.
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