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MB-920 Practice Question: A project manager in Dynamics 365 Project…

A project manager in Dynamics 365 Project Operations wants to use Copilot to quickly identify which projects are at risk of exceeding their budget. What should the project manager do?

⚠ Common exam trap

Candidates often confuse Copilot's natural language query capability with other features like automated alerts or custom reporting, assuming that a 'smart' tool requires pre-configured rules or complex setup, when in fact Copilot is designed for ad-hoc, conversational data retrieval.

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

Ask Copilot in natural language: "Which projects are over budget?"

Copilot in Dynamics 365 Project Operations uses natural language processing to interpret user queries and surface relevant data directly from the system. By asking 'Which projects are over budget?' in natural language, the project manager can instantly get a list of at-risk projects without needing to configure alerts, build reports, or consult external teams. This leverages Copilot's ability to query project financial data in real time.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Set up automated alerts when a project exceeds 80% of its budget

    Why it's wrong here

    Alerts are useful but not a Copilot feature; Copilot can answer ad-hoc questions.

  • Ask Copilot in natural language: "Which projects are over budget?"

    Why this is correct

    Copilot can understand natural language and return a list of projects at risk.

  • Consult with the finance team to get a list of projects over budget

    Why it's wrong here

    This is manual and not using Copilot's capabilities.

  • Create a custom Power BI report to monitor budget consumption

    Why it's wrong here

    While effective, this does not use Copilot's natural language querying.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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