MB-910 Describe Dynamics 365 Customer Insights Practice Question
A company wants to use Customer Insights to identify customers who are likely to respond to a new product campaign. Which feature should they use?
⚠ Common exam trap
A common mix-up: candidates confuse Segmentation (a static grouping tool) with Predictive scoring (a dynamic machine learning output), because both can be used to target customers, but only Predictive scoring answers the 'likely to respond' question using probability modeling.
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 scoring
Predictive scoring in Dynamics 365 Customer Insights uses machine learning models to analyze historical customer data and engagement patterns, assigning a score that predicts the likelihood of a specific outcome—such as responding to a new product campaign. This directly matches the company's goal of identifying high-propensity customers for targeted outreach.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Enrichment
Why it's wrong here
Enrichment adds external data but does not predict.
- ✓
Predictive scoring
Why this is correct
Predictive scoring uses AI to predict customer behavior such as likelihood to respond.
- ✗
Measures
Why it's wrong here
Measures track KPIs but do not predict.
- ✗
Segmentation
Why it's wrong here
Segmentation groups customers but does not predict response.
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