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 manager notices that the customer churn prediction model in Dynamics 365 Customer Insights is not updating with new data. What is the most likely cause?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
The segment is not refreshed
Why wrong: Segments and predictions are independent.
The measure is not calculated
Why wrong: Measures are separate from prediction models.
The data source connection is lost
Why wrong: This would cause data load failure, but model refresh scheduling is the specific issue.
The prediction model is not scheduled to refresh
Models need a defined schedule to retrain with new data.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
The prediction model is not scheduled to refresh
In Dynamics 365 Customer Insights, prediction models are machine learning models that must be explicitly scheduled to refresh on a recurring basis. If the model is not scheduled to refresh, it will not automatically ingest new data, causing the churn predictions to become stale. Option D correctly identifies this as the most likely cause because the model's refresh schedule controls when it re-trains or updates with fresh data.
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.
The segment is not refreshed
Why it's wrong here
Segments and predictions are independent.
The measure is not calculated
Why it's wrong here
Measures are separate from prediction models.
The data source connection is lost
Why it's wrong here
This would cause data load failure, but model refresh scheduling is the specific issue.
The prediction model is not scheduled to refresh
Why this is correct
Models need a defined schedule to retrain with new data.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates confuse the refresh of a segment or measure with the refresh of a prediction model, assuming all data artifacts update automatically, when in fact prediction models require an explicit schedule to retrain or re-score with new data.
Detailed technical explanation
Under the hood, Dynamics 365 Customer Insights prediction models use Azure Machine Learning pipelines that require a configured refresh schedule to trigger data extraction, transformation, and model scoring. Without a schedule, the model remains static even if new data flows into the data sources. In a real-world scenario, a marketing manager might set up a churn model once and forget to configure the daily or weekly refresh, leading to outdated predictions that fail to reflect recent customer behavior changes.
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: The prediction model is not scheduled to refresh — In Dynamics 365 Customer Insights, prediction models are machine learning models that must be explicitly scheduled to refresh on a recurring basis. If the model is not scheduled to refresh, it will not automatically ingest new data, causing the churn predictions to become stale. Option D correctly identifies this as the most likely cause because the model's refresh schedule controls when it re-trains or updates with fresh data.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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