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MB-910 Predictive forecasting Practice Question

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.)

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 administrator should enable Copilot for Sales (B) and Predictive forecasting (E) to improve forecast accuracy. Copilot for Sales uses AI to provide next-action recommendations and help sales teams prioritize opportunities. Predictive forecasting leverages AI to analyze historical data and opportunity attributes, producing more accurate revenue predictions based on regular updates. Sales playbooks (A) are guided processes, not AI-driven predictions. Power BI reports (C) are for visualization, not AI. Omnichannel for Customer Service (D) is unrelated to sales forecasting.

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

    Sales playbooks provide step-by-step guidance but do not use AI for predictions or recommendations; not directly related to forecast accuracy.

  • Copilot for Sales

    Why this is correct

    Copilot for Sales uses AI to suggest next actions and help prioritize opportunities, directly addressing the need for AI-driven recommendations.

  • Power BI reports

    Why it's wrong here

    Power BI reports visualize data but lack AI capability for predicting close dates or recommending actions.

  • Omnichannel for Customer Service

    Why it's wrong here

    Omnichannel for Customer Service manages customer interactions across channels, not sales forecasting.

  • Predictive forecasting

    Why this is correct

    Predictive forecasting applies AI to historical data and opportunity updates to improve forecast accuracy, meeting the goal of using AI for predictions.

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