Question 317 of 977

Quick Answer

The answer is to enable Predictive Forecasting and Copilot for Sales. Predictive Forecasting leverages AI to analyze historical data and opportunity attributes, automatically adjusting forecasts based on real-time changes to close dates and stages, which directly addresses the inaccuracy caused by inconsistent manual updates. Copilot for Sales then provides AI-driven recommendations and next-best actions, helping sales reps prioritize opportunities most likely to close. On the MB-910 exam, this question tests your understanding of how AI enhances sales forecasting accuracy versus standard manual features; a common trap is confusing Predictive Forecasting with standard reporting tools like Power BI, which lack predictive AI, or with Playbooks, which are guided processes, not AI-driven. Remember the memory tip: “Predictive for accuracy, Copilot for action”—if the goal is AI-powered prediction and recommendations, these two features always pair together.

MB-910 Practice Question: Explore the core capabilities of customer engagement apps in Dynamics 365

This MB-910 practice question tests your understanding of explore the core capabilities of customer engagement apps in dynamics 365. 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.

Adventure Works, a B2B company, uses Dynamics 365 Sales to manage their sales pipeline. The sales team uses the forecasting feature to predict quarterly revenue. The sales manager noticed that the forecast amounts are often inaccurate because some sales representatives are not updating opportunity close dates and stages regularly. The manager wants to improve forecast accuracy by ensuring that opportunities are updated when they change. The manager also wants to use AI to predict which opportunities are likely to close and to get recommendations for next actions. Which two features should the administrator enable? (Choose TWO.)

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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

Copilot for Sales

The correct answers are A and C. Predictive forecasting uses AI to improve forecast accuracy by analyzing historical data and opportunity attributes, while Copilot for Sales provides AI-powered recommendations and next-best actions. Option B is about playbooks (guided processes), not AI predictions. Option D is a reporting tool, not AI-driven. Option E is for customer service, not sales.

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.

  • Sales playbooks

    Why it's wrong here

    Playbooks provide guidance but not AI predictions.

  • Copilot for Sales

    Why this is correct

    Copilot for Sales provides AI recommendations for next actions.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Power BI reports

    Why it's wrong here

    Power BI reports are for visualization, not AI predictions.

  • Omnichannel for Customer Service

    Why it's wrong here

    Omnichannel is for customer service, not sales.

  • Predictive forecasting

    Why this is correct

    Predictive forecasting uses AI to improve forecast accuracy.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

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

How to think about this question

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.

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.
  • Use explanations to understand the rule behind the answer.

TExam Day Tips

  • Underline the problem statement mentally.
  • 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 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

Questions learners often ask

What does this MB-910 question test?

Explore the core capabilities of customer engagement apps in Dynamics 365 — This question tests Explore the core capabilities of customer engagement apps in Dynamics 365 — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Copilot for Sales — The correct answers are A and C. Predictive forecasting uses AI to improve forecast accuracy by analyzing historical data and opportunity attributes, while Copilot for Sales provides AI-powered recommendations and next-best actions. Option B is about playbooks (guided processes), not AI predictions. Option D is a reporting tool, not AI-driven. Option E is for customer service, not sales.

What should I do if I get this MB-910 question wrong?

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.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 21, 2026

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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.