Microsoft Azure Data Engineer Certification (DP-203) Practice Test

Question: 1 / 400

What kind of window should be used to aggregate event data by contiguous, fixed-length, non-overlapping intervals?

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Tumbling

The correct approach for aggregating event data by contiguous, fixed-length, non-overlapping intervals is to use tumbling windows. Tumbling windows operate by dividing the data stream into distinct, non-overlapping chunks based on specified time intervals. Each tumbling window represents a specific time period, and all events that occur within that time frame are aggregated together.

For example, if a tumbling window is set for 10 minutes, the first window would cover the time from 00:00 to 00:10, the second from 00:10 to 00:20, and so on. By clearly defining these fixed-length intervals, tumbling windows facilitate operations such as summation, averaging, or counting for the data contained within each interval, while ensuring that data from one window does not spill into another.

This structure is particularly useful for scenarios like hourly reporting where you need to analyze data in non-overlapping segments of time.

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