MB-910 Describe Dynamics 365 Customer Insights Practice Question
A manager wants to understand the lifetime value of customers and predict future purchases. Which capability of Dynamics 365 Customer Insights should they use?
⚠ Common exam trap
Test-takers frequently confuse segmentation (grouping customers) with predictive analytics, not realizing that segmentation alone cannot forecast future behavior or calculate lifetime value.
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
Predictive models in Dynamics 365 Customer Insights use machine learning to analyze historical customer data, calculate lifetime value (CLV), and forecast future purchase behavior. This directly matches the manager's need to understand customer value and predict future actions, making option C the correct choice.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Segmentation
Why it's wrong here
Segmentation groups customers but does not predict.
- ✗
Data profiling
Why it's wrong here
Data profiling only summarizes data quality.
- ✓
Predictive models
Why this is correct
Predictive models enable forecasting.
- ✗
Data sources
Why it's wrong here
Data sources are inputs, not analytical outputs.
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