QuestionQ55

VerifiedIngest and transform data

You have a Fabric workspace containing an eventstream named EventStream1. EventStream1 sends events to a table named Table1 in a lakehouse. The streaming data comes from motorway sensors and represents car speeds.

You need to add a transformation to EventStream1 that averages the car speeds. The speeds must be grouped into one-minute, non-overlapping, contiguous time intervals. Every event must belong to exactly one window.

Which windowing function should you use?

Explanation

A tumbling window divides a stream into fixed-size, contiguous, non-overlapping time intervals, so a one-minute tumbling window places each event in exactly one interval and enables an average speed aggregate for that interval.

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