MB-910 Describe Dynamics 365 Customer Insights Practice Question
A retail company uses Dynamics 365 Customer Insights to unify customer data from online and in-store transactions. They want to define a customer segment based on customers who have made a purchase within the last 30 days and have a lifetime value above $500. Which feature should they use?
⚠ Common exam trap
Test-takers frequently confuse a measure (aggregated metric) with a segment (group of customers), as both involve conditions but serve fundamentally different purposes 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
✓
Create a segment based on conditions
Dynamics 365 Customer Insights allows you to define a segment based on conditions, such as combining a purchase recency filter (last 30 days) with a calculated lifetime value threshold (>$500). This uses the segment builder's rule-based logic to query unified customer profiles and transactional data, enabling precise targeting without custom code.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Create a segment based on conditions
Why this is correct
Segments can be defined using conditions on measures and activities.
- ✗
Create a measure
Why it's wrong here
Measures define KPIs, not segments.
- ✗
Enrich customer profiles with demographic data
Why it's wrong here
Enrichment adds external data, but does not create segments.
- ✗
Create a prediction model
Why it's wrong here
Prediction models are for predictive outcomes, not segment creation.
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