Crucial Exams

GCP Professional Data Engineer Practice Question

You are building a Google Cloud Dataflow streaming pipeline that must publish a 15-minute rolling average of purchase amounts. The average must be recomputed every 5 minutes, and events that arrive up to 2 minutes late must still be reflected in the output. Which Apache Beam windowing configuration best satisfies these requirements?

  • Apply SlidingWindow.of(Duration.minutes(15)).every(Duration.minutes(5)) and set allowedLateness(Duration.minutes(2)).

  • Apply FixedWindows.of(Duration.minutes(15)) with an early trigger firing every 5 minutes.

  • Apply SessionWindows.withGapDuration(Duration.minutes(5)) and allowedLateness(Duration.minutes(2)).

  • Apply SlidingWindow.of(Duration.minutes(5)).every(Duration.minutes(15)) and set allowedLateness(Duration.minutes(2)).

GCP Professional Data Engineer
Ingesting and processing the data
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