Microsoft Fabric Data Engineer Associate DP-700 Practice Question
You manage a Microsoft Fabric workspace that contains a Data Factory pipeline named LoadSales that ingests point-of-sale files into a lakehouse. The pipeline must run every hour on the hour. If the Fabric service is unavailable for several hours, any missed executions must run automatically in order when service resumes, without overlapping runs. Which trigger type should you configure for the pipeline?
A manual trigger invoked through a webhook on demand
An event trigger that listens for Azure Storage blob-created events
A schedule trigger configured with an hourly recurrence
A tumbling window trigger with a one-hour window and dependency handling
Tumbling window triggers are time-based and keep state for every discrete, contiguous time slice (window). If a window execution is skipped because the service is unavailable, the trigger automatically backfills the missed windows in chronological order once connectivity is restored, ensuring each window is processed exactly once. Schedule triggers fire only at the specified times and do not automatically replay missed runs. Event triggers respond to external events such as blob creation and are not suitable for strict hourly scheduling. Manual triggers require external calls and provide no automatic recurrence or backfill capability.
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Microsoft Fabric Data Engineer Associate DP-700
Implement and manage an analytics solution
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