MB-910 Describe Dynamics 365 Customer Insights Practice Question
A company wants to use Dynamics 365 Customer Insights to predict which customers are likely to churn. Which feature should they use?
⚠ Common exam trap
Many candidates confuse 'Segments' (which can be based on churn scores) with the actual predictive model that generates those scores, leading them to choose Option C instead of D.
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
✓
Predictive models
Dynamics 365 Customer Insights includes a dedicated predictive model for churn. This feature uses historical customer data and machine learning to calculate a churn score for each customer, enabling proactive retention efforts. The other options focus on data preparation or basic segmentation, not predictive analytics.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Unification
Why it's wrong here
Unification merges profiles but doesn't predict.
- ✗
Measures
Why it's wrong here
Measures calculate KPIs but don't predict.
- ✗
Segments
Why it's wrong here
Segments group customers but don't predict behavior.
- ✓
Predictive models
Why this is correct
Customer Insights includes AI models for churn prediction.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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