Microsoft Fabric Data Engineer Associate DP-700 Practice Question
Your nightly Fabric pipeline copies about 200 CSV files (2 GB each) from Azure Data Lake Storage Gen2 into a lakehouse. It first runs Get Metadata, then a sequential ForEach loop that executes one Copy Data activity per file. The run now lasts more than six hours, exceeding the maintenance window. You need to cut the duration by at least 50 percent with minimal redesign. What should you do?
Keep the loop but set the ForEach activity's batch count to 50 so up to 50 Copy activities run in parallel.
Insert an additional Get Metadata activity before the Copy activity to pre-fetch column statistics for each file.
Replace the loop with one Copy Data activity that uses a wildcard file path so all CSV files are copied in parallel.
Change the pipeline trigger from a single daily schedule to run every 30 minutes.
Copy Data can natively copy many files in parallel when you specify a file-name wildcard such as **/*.csv instead of an explicit file list. Replacing the sequential loop with a single Copy activity lets the integration runtime open multiple concurrent connections to storage, so the 200 files are transferred in parallel. This eliminates the orchestration overhead of 200 activity runs and typically cuts total copy time by more than half. Running multiple ForEach iterations in parallel still incurs orchestration overhead, an extra Get Metadata does not speed up transfers, and increasing trigger frequency affects schedule, not per-run duration.
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Microsoft Fabric Data Engineer Associate DP-700
Monitor and optimize an analytics solution
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