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PL-900 Practice Question: Demonstrate the capabilities of Power Automate

Which THREE of the following are features of Power Automate that help manage and monitor flows?

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

✓

Run history

Run history (C) is correct because Power Automate retains the execution details of each flow run, letting makers inspect trigger inputs, action outputs, durations, and failures for troubleshooting and monitoring. Alerts (D) are correct because Power Automate can notify flow owners when a flow fails or when a cloud flow's run metrics cross configured thresholds, enabling proactive monitoring. Flow analytics (E) is correct because it provides built-in dashboards and metrics such as run success/failure rates, usage trends, and error counts across flows for ongoing monitoring. Solution checker (A) does not belong because it validates solution components for issues when packaging/exporting solutions in Power Apps/Power Automate, not for managing or monitoring flow runs. Flow checker (B) does not belong because it is a design-time validation tool that flags errors and warnings in the flow definition before saving or testing, rather than a runtime monitoring feature.

Answer analysis

Option-by-option breakdown

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

  • ✗

    Solution checker

    Why it's wrong here

    Solution checker validates solution packages for Dataverse and Power Apps artefacts, not individual flow run health or monitoring. It is tempting because it sounds like a flow diagnostic, and would be correct when packaging components into a solution before deployment to another environment.

  • ✗

    Flow checker

    Why it's wrong here

    Flow checker flags design errors such as missing required parameters inside the flow designer, but it does not provide run history, analytics, or alerting for monitoring. It is tempting because its name suggests oversight, and would be correct when validating a flow's configuration before saving.

  • ✓

    Run history

    Why this is correct

    Run history records each flow execution, showing trigger time, duration, and per-action inputs and outputs, including failures. This satisfies the monitoring requirement by letting makers diagnose why a run failed and confirm whether it succeeded, rather than merely designing or triggering flows.

  • ✓

    Alerts

    Why this is correct

    Alerts notify flow owners when a run fails or a connector degrades, satisfying the stem's monitoring requirement. Unlike run history, which requires manual inspection, alerts push exception notifications automatically, enabling prompt remediation of failed flows without constant dashboard checking.

  • ✓

    Flow analytics

    Why this is correct

    Flow analytics provides built-in dashboards tracking run history, success and failure rates, and usage trends across individual flows and environments. This satisfies the monitoring constraint in the stem, letting makers and admins review performance metrics without exporting data, complementing management features like the Power Automate portal's run history.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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