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 use AI to predict which customers are most likely to purchase a new product. Which feature of Dynamics 365 Customer Insights should they use?
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.
Predictive models
Predictive models use machine learning to forecast customer behavior.
Enrichment
Why wrong: Enrichment adds data from external sources, not predictions.
Measures
Why wrong: Measures are aggregated metrics, not predictions.
Segmentation
Why wrong: Segmentation groups customers but doesn't predict behavior.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Predictive models
Predictive models in Dynamics 365 Customer Insights use machine learning to analyze historical customer data and identify patterns that indicate a high likelihood of purchasing a new product. This feature allows the marketing team to create a binary prediction (e.g., will buy/will not buy) based on attributes such as past purchases, engagement, and demographics, directly addressing the need to predict which customers are most likely to purchase.
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.
Predictive models
Why this is correct
Predictive models use machine learning to forecast customer behavior.
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.
Enrichment
Why it's wrong here
Enrichment adds data from external sources, not predictions.
Measures
Why it's wrong here
Measures are aggregated metrics, not predictions.
Segmentation
Why it's wrong here
Segmentation groups customers but doesn't predict behavior.
Common exam traps
The trap here is that candidates often confuse segmentation (a static grouping) with predictive modeling (a dynamic, ML-driven forecast), especially when the question asks about 'predicting' behavior, leading them to choose segmentation because it also involves grouping customers.
Detailed technical explanation
Under the hood, Dynamics 365 Customer Insights predictive models use Azure Machine Learning to train a binary classification model on historical data, outputting a probability score (0 to 1) for each customer. The model automatically selects relevant features (e.g., recency, frequency, monetary value) and handles imbalanced datasets through techniques like oversampling. In a real-world scenario, a marketing team could use this to prioritize high-scoring customers for a targeted email campaign, reducing cost and increasing conversion rates.
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: Predictive models — Predictive models in Dynamics 365 Customer Insights use machine learning to analyze historical customer data and identify patterns that indicate a high likelihood of purchasing a new product. This feature allows the marketing team to create a binary prediction (e.g., will buy/will not buy) based on attributes such as past purchases, engagement, and demographics, directly addressing the need to predict which customers are most likely to purchase.
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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