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PL-900 Practice Question: Describe the business value of Microsoft Power Platform

Exhibit

{
  "triggers": [
    {
      "type": "Schedule",
      "recurrence": {
        "frequency": "Hour",
        "interval": 1
      }
    }
  ],
  "actions": [
    {
      "type": "ApiConnection",
      "inputs": {
        "host": {
          "apiId": "/providers/Microsoft.PowerApps/apis/shared_commondataservice"
        },
        "parameters": {
          "tableName": "accounts",
          "filterQuery": "createdon ge @{addHours(utcNow(), -1)}"
        }
      }
    }
  ]
}

Refer to the exhibit. A Power Automate flow runs hourly to retrieve new accounts from Dataverse. However, it sometimes misses records created at the exact hour boundary. What is the most likely reason?

⚠ Common exam trap

Test-takers frequently assume utcNow() is the cause of the issue, but the real problem is the fundamental difference between scheduled polling and event-driven triggers in Power Automate.

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

The flow runs on a schedule, not triggered by record creation, so it may miss records created between runs.

The flow is configured to run on a recurring schedule (e.g., every hour), not as an instant trigger on record creation. When a record is created at the exact boundary between two scheduled runs, it may not be captured by the previous run (which already completed) and may not yet exist when the next run begins, especially if the flow uses a filter query based on a timestamp. This is a classic limitation of scheduled polling compared to event-driven triggers like 'When a row is added, modified, or deleted' in Dataverse.

Answer analysis

Option-by-option breakdown

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

  • The flow runs on a schedule, not triggered by record creation, so it may miss records created between runs.

    Why this is correct

    A scheduled flow may miss records due to clock skew or processing delays; a trigger-based flow would be more reliable.

  • The accounts table has a security filter that hides records from the flow owner.

    Why it's wrong here

    If the flow owner has appropriate permissions, security filters should not cause intermittent issues.

  • The API connection to Dataverse is not authenticated properly.

    Why it's wrong here

    Authentication issues would cause consistent failures, not intermittent misses.

  • The filter query uses utcNow() which may not be precise across time zones.

    Why it's wrong here

    utcNow() is UTC, but the issue is timing, not time zone.

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Written by Johnson Ajibi, MSc IT Security

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