MB-910 Describe Dynamics 365 Customer Insights Practice Question
Which TWO of the following are AI-powered features available in Dynamics 365 Customer Insights?
⚠ Common exam trap
It's easy for candidates to confuse the AI features of Dynamics 365 Customer Insights (a CDP focused on predictive models and sentiment analysis of feedback) with those of other Dynamics 365 apps like Sales (lead scoring) or Customer Service (email sentiment), leading them to select options that are valid elsewhere but not 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
✓
Predictive models for churn and purchase propensity
Dynamics 365 Customer Insights includes AI-powered predictive models that analyze historical customer data to forecast behaviors such as churn and purchase propensity. These models use machine learning algorithms to generate scores and insights directly within the Customer Insights platform, enabling proactive engagement strategies.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Email response sentiment analysis
Why it's wrong here
This is more relevant to Customer Service Insights.
- ✗
Lead scoring
Why it's wrong here
Lead scoring is in Dynamics 365 Sales.
- ✓
Predictive models for churn and purchase propensity
Why this is correct
These are built-in AI models in Customer Insights.
- ✗
Anomaly detection in transaction data
Why it's wrong here
Anomaly detection is not a native Customer Insights feature.
- ✓
Sentiment analysis of customer feedback
Why this is correct
Customer Insights can analyze sentiment from feedback data.
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