The correct answer is to create a segment based on the CLV prediction in Customer Insights. This is because prediction scores, such as customer lifetime value, are stored as data entities within Dynamics 365 Customer Insights, and segments act as the essential bridge that filters customers by those scores for use in marketing campaigns. Without first building a segment, the raw prediction data cannot be directly targeted in a marketing journey or email campaign. On the MB-910 exam, this question tests your understanding of the data flow between Customer Insights and Dynamics 365 Marketing, often appearing as a scenario where you must choose the logical next step after a model is built. A common trap is selecting an option to export the scores immediately, but the platform requires segmentation as an intermediate step to apply the scores. Memory tip: think of segments as the “filter funnel” that turns raw prediction numbers into actionable audience lists.
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 marketing team wants to send personalized email campaigns based on customer lifetime value (CLV) scores. They have already built a CLV prediction model in Customer Insights. What is the next step to use these scores in a marketing campaign?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Create a segment based on the CLV prediction in Customer Insights
In Dynamics 365 Customer Insights, predictions like CLV are stored as data entities. To use them in a marketing campaign, you must first create a segment that filters customers based on the CLV prediction score. This segment can then be exported or used directly in Dynamics 365 Marketing journeys. Option A is correct because segments are the bridge between Customer Insights data and Marketing campaign targeting.
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.
✓
Create a segment based on the CLV prediction in Customer Insights
Why this is correct
Correct: Creating a segment from the prediction allows you to target customers in Marketing.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use the prediction directly in a Marketing journey
Why it's wrong here
Wrong: Predictions cannot be used directly; a segment is required.
✗
Use Power BI to visualize the CLV scores
Why it's wrong here
Wrong: Visualization does not enable campaign targeting.
✗
Export the CLV scores to Excel and import into Dynamics 365 Marketing
Why it's wrong here
Wrong: This is inefficient and not the recommended approach.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates assume predictions can be used directly in journeys (Option B) because they see 'AI' and 'Marketing' together, but Microsoft requires an explicit segmentation step to ensure data governance and performance.
Detailed technical explanation
How to think about this question
Under the hood, Customer Insights predictions are computed using Azure Machine Learning and stored as tables in the Customer Data Platform (CDP). Segments are dynamic or static subsets of unified customer profiles that can include prediction scores as attributes. When a segment is published, it becomes available in Dynamics 365 Marketing via the same Dataverse environment, enabling real-time personalization without data duplication.
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: Create a segment based on the CLV prediction in Customer Insights — In Dynamics 365 Customer Insights, predictions like CLV are stored as data entities. To use them in a marketing campaign, you must first create a segment that filters customers based on the CLV prediction score. This segment can then be exported or used directly in Dynamics 365 Marketing journeys. Option A is correct because segments are the bridge between Customer Insights data and Marketing campaign targeting.
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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company uses Dynamics 365 Customer Insights - Journeys to automate email marketing. They want to send a birthday offer email to contacts on their birthday. Which TWO components are required to achieve this? (Choose two.)
medium
✓ A.A trigger that fires when the contact's birthday equals today's date
B.A compliance profile
✓ C.A dynamic segment that includes contacts with birthday today
D.A static segment of all contacts
E.A condition to check if the contact has consented
Why A: Option A is correct because a trigger in Dynamics 365 Customer Insights - Journeys defines the event that starts the journey. For a birthday offer, the trigger must fire when the contact's birthday equals today's date, initiating the email send. This is a time-based trigger that evaluates the contact's date of birth field against the current date.
Variation 2. A marketing team notices that a segment based on 'high-value customers' returns fewer records than expected. The segment criteria include 'Total Purchase Amount > $500' and 'Last Purchase Date within 90 days'. The data source is updated nightly. What is the most likely cause?
hard
✓ A.The segment was not refreshed after data update
B.The data source credentials are expired
C.The segment includes too many conditions
D.The customer profiles are not unified
Why A: The segment criteria are evaluated against the data at the time the segment is created or last refreshed. Since the data source updates nightly, the segment must be manually or automatically refreshed to incorporate the new data. If the segment was not refreshed after the nightly update, it would still reflect the older, smaller dataset, resulting in fewer records than expected.
Last reviewed: Jun 24, 2026
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