MB-910 Describe Dynamics 365 Customer Insights Practice Question
A marketing manager wants to use Dynamics 365 Customer Insights to create a segment of 'High-Value Customers' based on a combination of purchase frequency and average order value. The data is unified, but the manager is unsure how to build the segment. What is the recommended approach?
⚠ Common exam trap
Many candidates think SQL queries (Option A) are the only way to perform complex data filtering, but Microsoft deliberately tests whether you know that the Segment Builder provides a no-code, recommended path for creating dynamic segments 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
✓
Use the Segment Builder to create a dynamic segment using measures for purchase frequency and average order value
Dynamics 365 Customer Insights provides a Segment Builder specifically designed to create dynamic segments based on measures like purchase frequency and average order value. This allows the marketing manager to define conditions using pre-built or custom measures without writing code, ensuring the segment updates automatically as data changes.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Write a SQL query in the data management interface
Why it's wrong here
Customer Insights does not support direct SQL queries for segmentation.
- ✗
Use Power Automate to filter customers based on purchase history
Why it's wrong here
Power Automate triggers actions but is not designed for segment creation.
- ✗
Manually tag each high-value customer profile in the customer card
Why it's wrong here
Manual tagging is inefficient and not scalable.
- ✓
Use the Segment Builder to create a dynamic segment using measures for purchase frequency and average order value
Why this is correct
The Segment Builder is the intended tool for creating segments based on measures.
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