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 business analyst wants to create a KPI that shows the average customer lifetime value for customers acquired in the last year. Which Dynamics 365 Customer Insights feature should they use?
Create a prediction model
Why wrong: Predictions forecast future behavior, not current KPIs.
Run data unification
Why wrong: Unification doesn't calculate KPIs.
Create a segment of recent customers
Why wrong: Segments don't calculate averages.
Define a measure
Measures can calculate average customer lifetime value.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Define a measure
A measure in Dynamics 365 Customer Insights is used to calculate numeric KPIs from your customer data, such as average customer lifetime value (CLV) for a specific cohort. By defining a measure with a filter for customers acquired in the last year, you can compute the exact average CLV without needing predictive models or data transformation steps.
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.
Create a prediction model
Why it's wrong here
Predictions forecast future behavior, not current KPIs.
Run data unification
Why it's wrong here
Unification doesn't calculate KPIs.
Create a segment of recent customers
Why it's wrong here
Segments don't calculate averages.
Define a measure
Why this is correct
Measures can calculate average customer lifetime value.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is confusing the purpose of segments (which group customers) with measures (which compute numeric KPIs), leading candidates to select option C instead of D.
Detailed technical explanation
Measures in Customer Insights are defined using a graphical interface or Power Query M language, allowing aggregation functions like AVERAGE, SUM, or COUNT over filtered datasets. For example, you can create a measure that calculates average CLV by summing total revenue per customer and dividing by the count of customers, filtered by acquisition date. This approach avoids the overhead of running a full predictive model and directly leverages the existing customer data tables.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
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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: Define a measure — A measure in Dynamics 365 Customer Insights is used to calculate numeric KPIs from your customer data, such as average customer lifetime value (CLV) for a specific cohort. By defining a measure with a filter for customers acquired in the last year, you can compute the exact average CLV without needing predictive models or data transformation steps.
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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