Crucial Exams

Microsoft Fabric Data Engineer Associate DP-700 Practice Question

You are configuring a Kusto Query Language (KQL) statement in a Microsoft Fabric Real-Time Analytics database. Incoming IoT telemetry includes a TimeGenerated column that stores the event time. The requirement is to calculate the average temperature for each device over the latest ten-minute period, and to refresh the result every minute so dashboard users always see the most recent rolling ten-minute average. Which KQL windowing function should you apply in the summarize clause to meet these requirements?

  • Use session_window() with a 10-minute inactivity timeout.

  • Use hop() (hopping window) with a 10-minute window length and a 1-minute hop size.

  • Use bin(TimeGenerated, 1m) in combination with an aggregate over the last 10 bins.

  • Use tumblingwindow() with a 10-minute interval.

Microsoft Fabric Data Engineer Associate DP-700
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