Quick Answer
The answer is predictive opportunity scoring. This feature uses AI to analyze historical data from closed deals, identifying patterns and attributes that correlate with successful outcomes, then applies that model to rank current opportunities by their likelihood to close. On the Microsoft Dynamics 365 Fundamentals CRM MB-910 exam, this question tests your ability to distinguish between AI-driven scoring models: predictive opportunity scoring evaluates deals, while predictive lead scoring is for unqualified leads. A common trap is confusing the two—remember that opportunities are further along in the sales cycle than leads. Relationship analytics focuses on communication patterns, not close probability, and sequences are automated process steps. For a quick memory tip, think “opportunity = outcome” to link the feature with predicting deal closure.
This MB-910 practice question tests your understanding of describe dynamics 365 sales. 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 sales organization wants to use AI to evaluate historical data and predict which opportunities are most likely to close. Which feature should they implement?
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.
Sales accelerator
Why wrong: Sales accelerator prioritizes leads, not opportunities.
Predictive lead scoring
Why wrong: Predictive lead scoring is for leads, not opportunities.
Predictive opportunity scoring
Predictive opportunity scoring predicts likelihood of closing.
Relationship analytics
Why wrong: Relationship analytics provides insights on relationships, not scoring.
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 opportunity scoring
Predictive opportunity scoring uses AI to score opportunities based on historical data. Predictive lead scoring is for leads. Relationship analytics analyzes communication. Sequence is a process. Sales accelerator prioritizes leads.
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.
Sales accelerator
Why it's wrong here
Sales accelerator prioritizes leads, not opportunities.
Predictive lead scoring
Why it's wrong here
Predictive lead scoring is for leads, not opportunities.
Predictive opportunity scoring
Why this is correct
Predictive opportunity scoring predicts likelihood of closing.
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.
Relationship analytics
Why it's wrong here
Relationship analytics provides insights on relationships, not scoring.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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 MB-910 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Describe Dynamics 365 Sales — This question tests Describe Dynamics 365 Sales — Read the scenario before looking for a memorised answer..
The correct answer is: Predictive opportunity scoring — Predictive opportunity scoring uses AI to score opportunities based on historical data. Predictive lead scoring is for leads. Relationship analytics analyzes communication. Sequence is a process. Sales accelerator prioritizes leads.
Identify which MB-910 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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 21, 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.
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