Crucial Exams

Microsoft Fabric Data Engineer Associate DP-700 Practice Question

You create an Eventstream in Microsoft Fabric that ingests telemetry from an Azure IoT Hub into a Real-Time Analytics KQL database. The analytics team needs a query that will drive a live Power BI report and must meet these requirements:

  • Show the number of messages per device over the most recent one-minute interval.
  • Refresh the metric every 10 seconds without double-counting events that fall into more than one refresh cycle.
  • Tolerate events that arrive up to 30 seconds after their original event time.

You plan to define a continuous query on the Messages table that contains the columns DeviceId, EnqueuedTime (event time), and Payload.

Which KQL construct should you use in the summarize clause to meet all the requirements?

  • slidingwindow(EnqueuedTime, 1m, 30s)

  • bin(EnqueuedTime, 1m)

  • hoppingwindow(EnqueuedTime, 1m, 10s, 30s)

  • tumblingwindow(EnqueuedTime, 1m, 30s)

Microsoft Fabric Data Engineer Associate DP-700
Ingest and transform data
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