The correct answer is to prioritize applying built-in compliance with data privacy regulations like GDPR and CCPA, along with using AI to build predictive segments and calculate customer lifetime value. These three capabilities are essential because a true 360-degree customer view requires not only unifying data from Dynamics 365 Sales, Service, and external loyalty systems into a single profile, but also enriching that profile with forward-looking insights—such as churn risk and CLV—while ensuring the unified data meets strict privacy standards. On the MB-910 exam, this question tests your understanding that Customer Insights goes beyond simple data aggregation; it uses AI to transform historical and behavioral data into actionable predictions, and its built-in compliance tools are non-negotiable for global enterprises subject to GDPR and CCPA. A common trap is focusing only on data ingestion or visualization, forgetting that predictive analytics and privacy are core to the “customer insights capabilities” that drive the 360 view. Memory tip: think “Unify, Predict, Protect”—the three pillars for a compliant, complete customer picture.
MB-910 Describe Dynamics 365 Customer Insights Practice Question
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 global enterprise wants to use Dynamics 365 Customer Insights to create a 360-degree customer view. They have data from Dynamics 365 Sales, Dynamics 365 Customer Service, and external loyalty systems. They also need to comply with GDPR and CCPA. Which THREE capabilities should they prioritize?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Use AI to create predictive segments and measure customer lifetime value
A is correct because Dynamics 365 Customer Insights uses AI to build predictive segments (e.g., churn risk) and calculate customer lifetime value (CLV) using historical and behavioral data. This directly supports the goal of a 360-degree customer view by enriching unified profiles with forward-looking insights.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✓
Use AI to create predictive segments and measure customer lifetime value
Why this is correct
Correct: AI-driven segmentation and CLV are key.
Related concept
Read the scenario before looking for a memorised answer.
✗
Provide real-time chat support to customers
Why it's wrong here
Incorrect: Chat is Customer Service.
✗
Automate LinkedIn lead generation campaigns
Why it's wrong here
Incorrect: LinkedIn integration is for Sales.
✓
Ingest data from Dynamics 365, external systems, and third-party data sources
Why this is correct
Correct: Supports multiple data sources.
Related concept
Read the scenario before looking for a memorised answer.
✓
Apply built-in compliance with data privacy regulations like GDPR and CCPA
Why this is correct
Correct: Customer Insights includes data privacy features.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is confusing Customer Insights' data unification and compliance features with unrelated Dynamics 365 modules like Customer Service chat or Sales lead automation, leading candidates to select options that are valid in other contexts but not core to Customer Insights.
Detailed technical explanation
How to think about this question
Customer Insights ingests data via connectors (e.g., Dataverse, Power Query, Azure Data Lake) and applies entity resolution through deduplication and matching rules to stitch profiles. Predictive segments use built-in machine learning models (e.g., churn model) trained on customer activities, while CLV calculation leverages historical transaction data and recency-frequency-monetary (RFM) analysis. Compliance with GDPR/CCPA is enforced through data subject rights (DSR) requests, consent management, and data masking in the unified customer profile.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
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
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Describe Dynamics 365 Customer Insights — This question tests Describe Dynamics 365 Customer Insights — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use AI to create predictive segments and measure customer lifetime value — A is correct because Dynamics 365 Customer Insights uses AI to build predictive segments (e.g., churn risk) and calculate customer lifetime value (CLV) using historical and behavioral data. This directly supports the goal of a 360-degree customer view by enriching unified profiles with forward-looking insights.
What should I do if I get this MB-910 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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