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Microsoft Fabric Data Engineer Associate DP-700 Practice Question

You manage a Microsoft Fabric workspace that contains a lakehouse named SalesLakehouse. A daily pipeline currently performs a full Copy data activity that loads the entire Sales.Orders table from an on-premises SQL Server database into a Delta table in the lakehouse. The Orders table has more than 50 million rows and continues to grow, causing the load to exceed the available refresh window.
You must modify the pipeline so that only rows that were inserted or updated since the previous run are copied, while keeping development effort to a minimum and avoiding custom Spark code.
Which change should you implement?

  • Enable incremental extraction in the existing Copy data activity by turning on change tracking and setting LastModifiedDate as the watermark column.

  • Modify the pipeline to truncate the Delta table and reload the complete Orders data set at each run.

  • Create a Dataflow Gen2 that loads the Orders table without incremental refresh and drop the current pipeline.

  • Replace the Copy data activity with a Spark notebook that runs a MERGE INTO statement between the source and the Delta table.

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