MB-910 Describe Dynamics 365 Customer Insights Practice Question
A company wants to use Dynamics 365 Customer Insights to generate AI-driven predictions about customer lifetime value. They have transactional data and customer demographics. Which feature should they use?
⚠ Common exam trap
Many candidates confuse 'Measures' (which are simple aggregations) with 'Predictive models' (which use AI), because both involve calculations, but only predictive models generate forward-looking, AI-driven 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
Predictive models in Dynamics 365 Customer Insights are specifically designed to generate AI-driven predictions, such as customer lifetime value (CLV), by analyzing historical transactional data and customer demographics. This feature uses machine learning algorithms to forecast future behavior, making it the correct choice for this scenario.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Segments
Why it's wrong here
Static customer groupings.
- ✗
Enrichment
Why it's wrong here
Adds external data.
- ✗
Measures
Why it's wrong here
Aggregated metrics.
- ✓
Predictive models
Why this is correct
AI models for predictions like lifetime value.
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