This MB-910 practice question tests your understanding of describe dynamics 365 customer insights. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company wants to use Dynamics 365 Customer Insights to analyze customer purchase patterns over time. Which feature should they use to view trends and aggregate data?
Enrichments
Why wrong: Enrichments are for adding external data, not for analysis.
Measures
Measures allow you to define and view aggregated metrics like purchase frequency.
Segments
Why wrong: Segments are for creating groups, not for aggregating data.
Data sources
Why wrong: Data sources are used to bring data in, not analyze it.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Measures
Measures in Dynamics 365 Customer Insights are specifically designed to aggregate and summarize data, such as calculating total purchases, average order value, or frequency over time. This allows users to view trends and patterns in customer behavior by creating calculated metrics from raw data sources.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Enrichments
Why it's wrong here
Enrichments are for adding external data, not for analysis.
Measures
Why this is correct
Measures allow you to define and view aggregated metrics like purchase frequency.
Related concept
Read the scenario before looking for a memorised answer.
Segments
Why it's wrong here
Segments are for creating groups, not for aggregating data.
Data sources
Why it's wrong here
Data sources are used to bring data in, not analyze it.
Common exam traps
The trap here is that candidates often confuse Segments (which group customers) with Measures (which aggregate data), because both involve data manipulation, but only Measures provide the numerical aggregation needed for trend analysis.
Detailed technical explanation
Measures in Customer Insights are built using the Power Query M language or the built-in measure designer, allowing for complex aggregations like sum, average, min, max, and count over time dimensions. They support time-series analysis by enabling date-based filters and rolling period calculations, which are essential for identifying seasonality or long-term purchase trends. In a real-world scenario, a retailer could use a measure to calculate monthly repeat purchase rates and then visualize the trend in a dashboard to inform marketing campaigns.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
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FAQ
Describe Dynamics 365 Customer Insights — This question tests Describe Dynamics 365 Customer Insights — Read the scenario before looking for a memorised answer..
The correct answer is: Measures — Measures in Dynamics 365 Customer Insights are specifically designed to aggregate and summarize data, such as calculating total purchases, average order value, or frequency over time. This allows users to view trends and patterns in customer behavior by creating calculated metrics from raw data sources.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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