Quick Answer
The answer is predictive opportunity scoring, as this Dynamics 365 Sales Insights feature directly provides a prioritized list of opportunities based on predicted close probability. It works by applying machine learning models to historical sales data, analyzing patterns from won and lost deals to assign a percentage score to each opportunity, allowing sales reps to focus their efforts on the deals most likely to close this quarter. On the MB-910 exam, this question tests your understanding of AI-driven sales tools within Dynamics 365, often appearing alongside related features like relationship analytics or sales accelerator; a common trap is confusing predictive scoring with manual lead scoring or simple sorting by estimated revenue. Remember the key distinction: predictive scoring uses historical data and AI to forecast likelihood, not just rank by value. A helpful memory tip is to think of the word “predict” as “pre-dict” — it tells you the outcome before it happens, based on past data.
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 rep needs to quickly identify which opportunities are most likely to close this quarter. The organization uses Dynamics 365 Sales with AI features. Which tool provides a prioritized list of opportunities based on predicted close probability?
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.
Relationship analytics
Why wrong: Relationship analytics shows engagement and sentiment.
Sales insights
Why wrong: Sales insights includes multiple AI features; scoring is more specific.
Predictive opportunity scoring
Predictive opportunity scoring ranks opportunities by likelihood to close.
Copilot in Dynamics 365 Sales
Why wrong: Copilot generates summaries and suggestions, not a prioritized list.
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 (Option C) is the correct tool because it uses machine learning models to analyze historical data and assign a probability score to each opportunity, enabling sales reps to see a prioritized list of opportunities most likely to close this quarter. This feature is part of Dynamics 365 Sales Insights and directly addresses the need for AI-driven prioritization based on predicted close probability.
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.
Relationship analytics
Why it's wrong here
Relationship analytics shows engagement and sentiment.
Sales insights
Why it's wrong here
Sales insights includes multiple AI features; scoring is more specific.
Predictive opportunity scoring
Why this is correct
Predictive opportunity scoring ranks opportunities by likelihood to close.
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.
Copilot in Dynamics 365 Sales
Why it's wrong here
Copilot generates summaries and suggestions, not a prioritized list.
Common exam traps
The trap here is that candidates confuse the broad 'Sales insights' suite (Option B) with the specific 'Predictive opportunity scoring' feature, assuming the suite name itself is the tool that provides the prioritized list, when in fact the question asks for the exact tool name.
Trap categories for this question
Command / output trap
Relationship analytics shows engagement and sentiment.
Detailed technical explanation
Predictive opportunity scoring leverages Azure Machine Learning to train models on your organization's historical opportunity data (e.g., deal size, stage duration, customer interactions) and outputs a score from 0 to 100, where higher scores indicate higher likelihood of closure. The model is automatically retrained periodically to adapt to changing sales patterns, and the prioritized list can be surfaced in views or dashboards, allowing reps to filter by score thresholds. A subtle behavior is that the model requires a minimum of 40 closed opportunities (won and lost) to generate reliable predictions, and it excludes opportunities with missing key fields like estimated close date.
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.
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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 (Option C) is the correct tool because it uses machine learning models to analyze historical data and assign a probability score to each opportunity, enabling sales reps to see a prioritized list of opportunities most likely to close this quarter. This feature is part of Dynamics 365 Sales Insights and directly addresses the need for AI-driven prioritization based on predicted close probability.
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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