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Microsoft Fabric Data Engineer Associate DP-700 Practice Question

Your Fabric Lakehouse ingests IoT telemetry into the DeviceReadings table every minute through an ingestion pipeline. Finance must receive a daily CSV summary after the previous day's load completes, saved to fin_exports/YYYY/MM/dd/. The job must start automatically, retry once if it fails, and demand minimal custom code. You have written a notebook that performs the aggregation and export. Which Fabric feature should you use to operationalize this requirement?

  • Publish the notebook as a Spark job definition and invoke it daily from an Azure Logic App.

  • Create a lakehouse shortcut to DeviceReadings and use a Power BI incremental refresh to export the CSV.

  • Create a Data Factory pipeline with a Notebook activity, add an event-based trigger that starts after the ingestion pipeline succeeds, and set one retry.

  • Attach a daily schedule directly to the notebook and rely on the notebook's built-in retry setting.

Microsoft Fabric Data Engineer Associate DP-700
Implement and manage an analytics solution
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