Crucial Exams

Microsoft Fabric Data Engineer Associate DP-700 Practice Question

You manage a Microsoft Fabric lakehouse that stores a Delta table named SalesSilver. Each day, a landing folder receives a CSV file containing only new or changed rows identified by the TransactionID key column. You must design an incremental loading pattern that:

  • Inserts new rows and updates existing rows.
  • Minimizes code complexity and preserves Delta table history for time-travel. Which approach should you implement?

  • Create a dataflow that deletes all rows from SalesSilver and then appends the full dataset from the landing folder.

  • Use a Spark notebook that executes a MERGE INTO SalesSilver AS tgt USING the incoming dataset AS src ON tgt.TransactionID = src.TransactionID, with UPDATE and INSERT clauses.

  • Run a Spark Structured Streaming job in trigger-once mode that writes the incoming data to SalesSilver using outputMode "append".

  • Configure a pipeline Copy activity to load the CSV file into SalesSilver each day in append mode.

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