Microsoft Fabric Data Engineer Associate DP-700 Practice Question
Your Microsoft Fabric workspace contains a lakehouse named SalesLakehouse. A nightly pipeline uses a single Copy data activity to copy 500 CSV files (each 300 MB) from Azure Data Lake Storage Gen2 into a fact table. The activity currently processes the files sequentially and therefore exceeds the permitted load window. Without adding extra activities or custom code, which Copy data activity setting should you modify to enable concurrent file ingestion and shorten the run time?
Increase the Parallel copies (degree of copy parallelism) value.
Enable staging and specify an Azure Blob Storage linked service.
Enable fault tolerance and configure a skip line count.
Copy data exposes a setting called Parallel copies (also shown in the UI as Degree of copy parallelism). Raising this value instructs the service to start multiple reader threads so that several source files are copied at the same time, which increases overall throughput. Staging, wildcard paths, and fault-tolerance options do not influence how many files are read in parallel.
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What is 'Degree of copy parallelism' in the Copy data activity?
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How does increasing the 'Parallel copies' value improve performance?
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Why don't staging, wildcard paths, or fault tolerance settings help in this scenario?
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Microsoft Fabric Data Engineer Associate DP-700
Ingest and transform data
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