- A
Measures
Why wrong: Measures define KPIs, not product recommendations.
- B
Connections
Why wrong: Connections integrate external systems but do not generate recommendations.
- C
Segmentation
Why wrong: Segmentation groups customers but does not generate product recommendations.
- D
AI suggestions
AI suggestions use machine learning to recommend products based on customer behavior.
Quick Answer
The answer is AI suggestions. This is the correct feature because Dynamics 365 Customer Insights includes built-in machine learning models that automatically analyze customer behavior and transaction data to generate personalized product recommendations for e-commerce sites, eliminating the need for custom model training. On the Microsoft Dynamics 365 Fundamentals CRM MB-910 exam, this question tests your understanding of out-of-the-box AI capabilities versus custom development; a common trap is confusing AI suggestions with manual recommendation lists or external Azure Machine Learning integrations. Remember that AI suggestions are a preconfigured, no-code feature within Customer Insights specifically designed for AI-driven product recommendations in e-commerce scenarios. A helpful memory tip: think of "AI suggestions" as the shortcut—just as you would suggest a product to a friend based on what you know, the system does it automatically using built-in intelligence.
MB-910 Describe Dynamics 365 Customer Insights Practice Question
This MB-910 practice question tests your understanding of describe dynamics 365 customer insights. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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 use Customer Insights to generate AI-driven product recommendations for their e-commerce site. Which feature should they configure?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
AI suggestions
AI suggestions in Dynamics 365 Customer Insights leverage built-in machine learning models to analyze customer behavior and transaction data, generating personalized product recommendations for e-commerce sites. This feature directly addresses the requirement for AI-driven recommendations without needing custom model training.
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.
- ✗
Measures
Why it's wrong here
Measures define KPIs, not product recommendations.
- ✗
Connections
Why it's wrong here
Connections integrate external systems but do not generate recommendations.
- ✗
Segmentation
Why it's wrong here
Segmentation groups customers but does not generate product recommendations.
- ✓
AI suggestions
Why this is correct
AI suggestions use machine learning to recommend products based on customer behavior.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse Segmentation (grouping customers) with AI-driven recommendations, but segmentation only defines audiences, while AI suggestions use machine learning to predict what products a specific customer is likely to buy.
Detailed technical explanation
How to think about this question
The AI suggestions feature in Customer Insights uses prebuilt models like 'Product Recommendations' that analyze purchase history, browsing patterns, and customer attributes to output personalized item lists. Under the hood, it employs collaborative filtering and content-based filtering algorithms, and the results can be surfaced via APIs or embedded directly into e-commerce frontends. A subtle behavior is that the model requires a minimum transaction history (e.g., 100 purchases) to produce meaningful recommendations, and it automatically retrains on a schedule to adapt to new data.
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.
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FAQ
Questions learners often ask
What does this MB-910 question test?
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: AI suggestions — AI suggestions in Dynamics 365 Customer Insights leverage built-in machine learning models to analyze customer behavior and transaction data, generating personalized product recommendations for e-commerce sites. This feature directly addresses the requirement for AI-driven recommendations without needing custom model training.
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.
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Last reviewed: Jun 24, 2026
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