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 company wants to predict which customers are likely to churn in the next 30 days using historical data and AI. Which feature in Dynamics 365 Customer Insights should they use?
Segmentation
Why wrong: Wrong: Segmentation creates static groups based on defined criteria, not predictions.
Measures
Why wrong: Wrong: Measures produce KPIs and aggregates, not predictive models.
Copilot
Why wrong: Wrong: Copilot offers conversational AI, not predictive models.
Predictions
Correct: The Predictions feature uses AI to forecast outcomes like churn.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Predictions
The Predictions feature in Dynamics 365 Customer Insights uses prebuilt AI models to analyze historical customer data and calculate churn probability scores for a specified future period, such as the next 30 days. This directly addresses the requirement to predict which customers are likely to churn, as it leverages machine learning to identify patterns and generate actionable insights without requiring custom model building.
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.
Segmentation
Why it's wrong here
Wrong: Segmentation creates static groups based on defined criteria, not predictions.
Measures
Why it's wrong here
Wrong: Measures produce KPIs and aggregates, not predictive models.
Copilot
Why it's wrong here
Wrong: Copilot offers conversational AI, not predictive models.
Predictions
Why this is correct
Correct: The Predictions feature uses AI to forecast outcomes like churn.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates confuse the general AI assistance of Copilot with the specific predictive modeling capability of Predictions, or assume that Segmentation can be used to forecast churn by manually defining rules, when in fact only Predictions provides AI-driven churn probability scores.
Detailed technical explanation
The Predictions feature in Customer Insights uses Azure Machine Learning under the hood, training a binary classification model on historical customer data (e.g., purchase frequency, support tickets, tenure) to output a churn probability score (0–100%) for each customer. It automatically handles data preparation, feature engineering, and model retraining, and the results can be used directly in segments or measures to trigger retention campaigns. A subtle behavior is that the model requires a minimum of 50 churned and 50 non-churned records in the training data to produce reliable predictions.
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: Predictions — The Predictions feature in Dynamics 365 Customer Insights uses prebuilt AI models to analyze historical customer data and calculate churn probability scores for a specified future period, such as the next 30 days. This directly addresses the requirement to predict which customers are likely to churn, as it leverages machine learning to identify patterns and generate actionable insights without requiring custom model building.
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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