MB-910 Describe Dynamics 365 Customer Insights Practice Question
A company wants to predict which customers are likely to churn in the next 30 days using historical data and AI. Which feature in Dynamics 365 Customer Insights should they use?
⚠ Common exam trap
Candidates often confuse the general AI assistance of Copilot with the specific predictive modeling capability of Predictions, or assume that Segmentation can be used to forecast churn by manually defining rules, when in fact only Predictions provides AI-driven churn probability scores.
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
✓
Predictions
The Predictions feature in Dynamics 365 Customer Insights uses prebuilt AI models to analyze historical customer data and calculate churn probability scores for a specified future period, such as the next 30 days. This directly addresses the requirement to predict which customers are likely to churn, as it leverages machine learning to identify patterns and generate actionable insights without requiring custom model building.
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
Wrong: Segmentation creates static groups based on defined criteria, not predictions.
- ✗
Measures
Why it's wrong here
Wrong: Measures produce KPIs and aggregates, not predictive models.
- ✗
Copilot
Why it's wrong here
Wrong: Copilot offers conversational AI, not predictive models.
- ✓
Predictions
Why this is correct
Correct: The Predictions feature uses AI to forecast outcomes like churn.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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