Microsoft Fabric Data Engineer Associate DP-700 Practice Question

You manage a Microsoft Fabric workspace that receives daily CSV files into a lakehouse bronze folder. The business wants a reusable transformation that non-developer analysts can build in the Power BI service without writing code. The solution must join the files, filter rows, create aggregates, and write the results to a dimension table in the same lakehouse. Which Fabric component should you use to build the transformation?

  • Develop a Spark notebook with PySpark transformations and schedule it in a pipeline.

  • Create a Dataflow Gen2 that loads its output to the lakehouse table.

  • Write a KQL query in a Real-Time Analytics database and materialize the results.

  • Implement a T-SQL stored procedure in a Fabric warehouse and call it from a pipeline.

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