Crucial Exams

Microsoft Fabric Data Engineer Associate DP-700 Practice Question

You are designing a streaming data load into a bronze Delta table in a Microsoft Fabric lakehouse. The data arrives at high volume in Azure Event Hubs, and downstream teams must see each event once and only once in the table, even if a network failure forces the streaming job to restart. Which approach should you implement to meet the requirement with minimal custom infrastructure?

  • Schedule a pipeline copy activity that writes Event Hubs data to a temporary blob container and loads it into the Delta table hourly.

  • Create a Real-Time Intelligence Eventstream that routes events to a KQL database connected to the lakehouse.

  • Use a Fabric notebook with Spark Structured Streaming to read from Event Hubs and write to the Delta table in append mode, storing checkpoints in the lakehouse.

  • Configure a Dataflow Gen2 with incremental refresh to pull data from Event Hubs into the lakehouse every minute.

Microsoft Fabric Data Engineer Associate DP-700
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