Quick Answer
The correct answer is predictive models, along with measures and segments, as the three outputs generated by Dynamics 365 Customer Insights. This is because the platform unifies customer data from multiple sources, then allows you to define and compute Measures—aggregated KPIs like average order value or churn rate—and create Segments based on specific behavioral or demographic criteria. Predictive models, such as churn or product propensity scores, are then built on top of these unified datasets to forecast future customer actions. On the MB-910 exam, this question tests your understanding of Customer Insights’ core output categories, often appearing as a “select three” item where a common trap is confusing “data sources” or “connectors” as outputs. Remember the memory tip: “MSP” stands for Measures, Segments, and Predictive models—the three key outputs that turn raw data into actionable intelligence.
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.
Which THREE outputs can be generated using Dynamics 365 Customer Insights?
Measures and KPIs
Measures are calculated outputs.
Invoice documents
Why wrong: Invoicing is not a feature.
Purchase orders
Why wrong: Purchase orders are transactional, not analytical outputs.
Customer segments
Segments are a primary output.
Predictive models
AI models generate predictions.
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 and KPIs
Option A is correct because Dynamics 365 Customer Insights allows users to define and compute Measures and KPIs from unified customer data. These are aggregated calculations (e.g., average order value, churn rate) that provide actionable insights into customer behavior and business performance, directly supporting data-driven decision-making.
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.
Measures and KPIs
Why this is correct
Measures are calculated outputs.
Related concept
Read the scenario before looking for a memorised answer.
Invoice documents
Why it's wrong here
Invoicing is not a feature.
Purchase orders
Why it's wrong here
Purchase orders are transactional, not analytical outputs.
Customer segments
Why this is correct
Segments are a primary output.
Related concept
Read the scenario before looking for a memorised answer.
Predictive models
Why this is correct
AI models generate predictions.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates confuse Customer Insights' analytical outputs (measures, segments, models) with transactional documents (invoices, purchase orders) that belong to operational ERP modules, testing whether you understand the CDP's scope as a data unification and insight platform.
Trap categories for this question
Command / output trap
Purchase orders are transactional, not analytical outputs.
Detailed technical explanation
Customer Insights uses a semantic data model where Measures are defined using DAX-like expressions over entity attributes, enabling real-time KPI calculation without data movement. For example, a 'Customer Lifetime Value' measure can aggregate purchase history across multiple data sources, and these KPIs can be surfaced in Power BI dashboards or used to trigger automated actions in Dynamics 365 Marketing.
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.
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 and KPIs — Option A is correct because Dynamics 365 Customer Insights allows users to define and compute Measures and KPIs from unified customer data. These are aggregated calculations (e.g., average order value, churn rate) that provide actionable insights into customer behavior and business performance, directly supporting data-driven decision-making.
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 11, 2026
This MB-910 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the MB-910 exam.
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