MB-910 Describe Dynamics 365 Customer Insights Practice Question
You are a data analyst for a multinational retail company. The company uses Dynamics 365 Customer Insights to manage customer data from various sources including online store, physical store transactions, and a loyalty program. The data is ingested daily. Recently, the marketing team reported that the segment 'High Spend Customers' (customers with total purchase amount > $10,000 in the last year) is showing incorrect numbers. Upon investigation, you find that some customers who have spent over $10,000 are not included in the segment, while some with lower spend are included. You suspect the issue is related to data freshness or the measure definition. The segment is based on a measure named 'TotalSpendLastYear' which is calculated from the 'Transaction' activity. The measure is set to refresh daily. The segment is set to refresh on demand. The data sources are refreshed automatically every night. What should you do first to troubleshoot the issue?
⚠ Common exam trap
Watch out — candidates often assume because data sources and measures refresh automatically, the segment must also be up-to-date, but Microsoft explicitly tests the distinction between measure refresh schedules and segment refresh schedules, where 'on demand' segments require manual intervention to reflect current data.
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
✓
Manually trigger a refresh of the segment to ensure it uses the latest measure data
The segment is set to refresh 'on demand,' meaning it does not automatically update when the underlying measure or data sources refresh. Even though the measure 'TotalSpendLastYear' refreshes daily and data sources refresh nightly, the segment itself may still be using stale measure data. Manually triggering a segment refresh forces it to re-evaluate the measure's current values, ensuring customers who now meet the $10,000 threshold are included and those who no longer qualify are excluded.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Modify the measure definition to use a different aggregation
Why it's wrong here
The measure definition appears correct; no need to change yet.
- ✗
Delete and recreate the segment with the same conditions
Why it's wrong here
Deleting and recreating the segment does not address the root cause, which is likely a stale measure definition or a data freshness mismatch between the daily-refreshed measure and the on-demand segment refresh. The segment will still evaluate the same potentially outdated measure against the same ingested data. This action is tempting because it can force a full recalculation of membership if the segment definition itself is corrupted, but here the issue lies upstream in the measure logic or data pipeline, not the segment object.
- ✓
Manually trigger a refresh of the segment to ensure it uses the latest measure data
Why this is correct
Segment may be using stale measure values.
- ✗
Re-ingest all transaction data from the source systems
Why it's wrong here
Data is ingested daily; re-ingesting won't help if segment is not refreshing.
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