MB-910 Describe Dynamics 365 Customer Insights Practice Question
A marketing team wants to use AI to predict which customers are most likely to purchase a new product. Which feature of Dynamics 365 Customer Insights should they use?
⚠ Common exam trap
A common mix-up: candidates confuse segmentation (a static grouping) with predictive modeling (a dynamic, ML-driven forecast), especially when the question asks about 'predicting' behavior, leading them to choose segmentation because it also involves grouping customers.
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 and identify patterns that indicate a high likelihood of purchasing a new product. This feature allows the marketing team to create a binary prediction (e.g., will buy/will not buy) based on attributes such as past purchases, engagement, and demographics, directly addressing the need to predict which customers are most likely to purchase.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Predictive models
Why this is correct
Predictive models use machine learning to forecast customer behavior.
- ✗
Enrichment
Why it's wrong here
Enrichment adds data from external sources, not predictions.
- ✗
Measures
Why it's wrong here
Measures are aggregated metrics, not predictions.
- ✗
Segmentation
Why it's wrong here
Segmentation groups customers but doesn't predict behavior.
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