Crucial Exams

Microsoft Fabric Data Engineer Associate DP-700 Practice Question

You are designing a real-time data solution in Microsoft Fabric. Telemetry from 1 500 IoT devices arrives at up to 30 000 events per second. You must continuously calculate a five-minute rolling average temperature and store the aggregated results in a Delta table in a Lakehouse with exactly-once delivery semantics. Which Fabric streaming technology should you choose to implement the transformation and the write operation?

  • Create a Spark Structured Streaming query in a Fabric notebook that performs the windowed aggregation and writes the stream directly to a Delta table in the Lakehouse.

  • Ingest the data into a Real-Time Analytics KQL database and configure continuous export of the query results to the Lakehouse.

  • Build a Dataflow Gen2 that refreshes every minute and writes the aggregated results to the Lakehouse.

  • Use Eventstream in Real-Time Intelligence to define a tumbling-window aggregate and send the output to the Lakehouse.

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