Quick Answer
The answer is a custom model (binary classification). This is correct because the marketing team needs a binary classification prediction model for purchase likelihood, which predicts a yes/no outcome—specifically, whether a customer will purchase a new product within the next 30 days. Customer Insights’ custom model is designed for this exact scenario, as it can be trained on historical purchase data, web browsing behavior, and demographic data to produce a binary prediction. On the MB-910 exam, this question tests your understanding of which built-in prediction types are available in Dynamics 365 Customer Insights versus those that require a custom model. A common trap is confusing this with churn prediction, which focuses on existing customers leaving, or with product recommendation models, which are not native to Customer Insights. Remember the key clue: any time you see a specific time window and a clear yes/no outcome, think binary classification. A handy memory tip is “Binary for Buy-or-Bypass”—if the goal is to classify customers into two groups (will purchase vs. will not), you need a custom binary classification model.
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 Customer Insights to predict which customers are likely to purchase a new product within the next 30 days. They have historical purchase data, web browsing behavior, and demographic data. What type of prediction should they create?
Product recommendation model
Why wrong: Recommendations suggest products, not purchase likelihood.
Customer churn model
Why wrong: Churn predicts disengagement.
Custom model (binary classification)
Custom models predict specific outcomes.
Conversion likelihood model
Why wrong: Conversion models are for specific events like subscription.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Custom model (binary classification)
Option C is correct because the marketing team needs to predict a binary outcome (will purchase vs. will not purchase) within a specific time window (30 days). Customer Insights' Custom model (binary classification) is designed for exactly this scenario, allowing you to train a model on historical purchase data, web browsing behavior, and demographic data to predict a yes/no outcome. Product recommendation and conversion likelihood models are not available as built-in prediction types in Customer Insights, and churn prediction focuses on existing customers leaving, not new product adoption.
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.
Product recommendation model
Why it's wrong here
Recommendations suggest products, not purchase likelihood.
Customer churn model
Why it's wrong here
Churn predicts disengagement.
Custom model (binary classification)
Why this is correct
Custom models predict specific outcomes.
Related concept
Read the scenario before looking for a memorised answer.
Conversion likelihood model
Why it's wrong here
Conversion models are for specific events like subscription.
Common exam traps
The trap here is that candidates confuse the generic term 'conversion likelihood' with a built-in model type, but Microsoft specifically tests that only 'Custom model (binary classification)' is available for such predictive tasks in Customer Insights, and that product recommendation and churn models serve different purposes.
Detailed technical explanation
Under the hood, Customer Insights uses Azure Machine Learning to power its custom binary classification models, where you define the target entity (e.g., customer), the outcome (e.g., purchased in 30 days), and the time window. The model automatically handles feature engineering from ingested data like web browsing events and demographics, then outputs a propensity score between 0 and 1 for each customer. A real-world scenario: a retailer could use this to target high-propensity customers with personalized offers, but must ensure the training data includes a clear 'positive' label (e.g., customers who purchased within 30 days historically) and a 'negative' label (those who did not).
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
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 — study guide chapter
Learn the concepts, then practise the questions
Describe Dynamics 365 Customer Insights practice questions
Targeted practice on this topic area only
All MB-910 questions
977 questions across all exam domains
Microsoft Dynamics 365 Fundamentals CRM MB-910 study guide
Full concept coverage aligned to exam objectives
MB-910 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Practise MB-910 questions linked to Describe Dynamics 365 Customer Insights.
Practise MB-910 questions linked to Describe Dynamics 365 Sales.
Practise MB-910 questions linked to Describe Dynamics 365 Customer Service.
Practise MB-910 questions linked to Describe Dynamics 365 Field Service.
Practise MB-910 questions linked to Explore the core capabilities of customer engagement apps in Dynamics 365.
Practise MB-910 questions linked to Describe shared features and Copilot capabilities.
Practise MB-910 questions linked to MB-910 fundamentals.
Practise MB-910 questions linked to MB-910 scenario.
Practise MB-910 questions linked to MB-910 troubleshooting.
Practice this exam
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
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: Custom model (binary classification) — Option C is correct because the marketing team needs to predict a binary outcome (will purchase vs. will not purchase) within a specific time window (30 days). Customer Insights' Custom model (binary classification) is designed for exactly this scenario, allowing you to train a model on historical purchase data, web browsing behavior, and demographic data to predict a yes/no outcome. Product recommendation and conversion likelihood models are not available as built-in prediction types in Customer Insights, and churn prediction focuses on existing customers leaving, not new product adoption.
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.
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 →
Last reviewed: Jun 24, 2026
This MB-910 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the MB-910 exam.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.