Crucial Exams

Microsoft Fabric Data Engineer Associate DP-700 Practice Question

A manufacturing company ingests 5 000 sensor readings per second into Microsoft Fabric. The engineering team must calculate 10-second tumbling-window averages for each production line and expose the results to Power BI analysts with less than 2 seconds of end-to-end latency, while avoiding custom code and cluster management. Which Fabric component should you implement to meet these requirements?

  • Create a KQL materialized view in a Real-Time Analytics database that computes the 10-second windowed averages.

  • Configure an eventstream with a tumbling-window aggregate transform and output the results to a Real-Time Analytics table that Power BI reads in DirectQuery mode.

  • Build a Dataflow Gen2 to calculate the averages and configure it for continuous refresh.

  • Use a Spark Structured Streaming notebook to write the windowed aggregates into a Delta table.

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