Crucial Exams

Microsoft Fabric Data Engineer Associate DP-700 Practice Question

You manage a Microsoft Fabric workspace that includes a Lakehouse for enterprise reporting. IoT devices publish JSON-encoded telemetry to an Azure Event Hubs namespace at about 5,000 events per second. You need a streaming ingestion pattern that

  • lands raw events in near real time to a Bronze Delta table in the Lakehouse,
  • automatically adapts to evolving JSON schemas without manual column mapping, and
  • guarantees at-least-once delivery even after service restarts. Which Fabric component should you use?

  • Ingest the data into a Real-Time Analytics KQL database and configure continuous export to a Lakehouse Delta table.

  • Enable mirroring on the Event Hubs namespace and surface the mirrored data as a Lakehouse table.

  • Create an Eventstream that reads from the Event Hubs namespace and writes directly to a Delta table in the Lakehouse.

  • Build a Fabric pipeline with a Copy activity that polls Event Hubs every minute and writes to the Lakehouse.

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