Crucial Exams

Microsoft Fabric Data Engineer Associate DP-700 Practice Question

You are authoring a streaming KQL query in Real-Time Analytics on Microsoft Fabric. The requirement is to compute the average temperature for each device over 10-second windows, refreshing every 5 seconds so that each event can participate in several overlapping windows. Which KQL windowing function should you apply to meet the requirement?

  • slidingwindow()

  • session_window()

  • hop()

  • tumble()

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