Microsoft Fabric Data Engineer Associate DP-700 Practice Question
You manage a Microsoft Fabric pipeline that runs every hour to copy transaction logs from an Azure Storage account into a lakehouse and then executes a notebook to aggregate the data. Recently the overall pipeline duration increased from 15 minutes to over 40 minutes even though the data volume has grown by only 10 percent. You verify that
The Storage account and Fabric workspace are in the same Azure region.
The notebook still finishes in less than 5 minutes. You determine that the Copy activity is the bottleneck. You need to reduce the time the Copy activity spends transferring data without changing the source or destination. Which change will most likely improve the Copy activity performance?
Consolidate the source files into larger single files before the Copy activity runs.
Lower the fault-tolerance retry count from 3 to 1.
Increase the Data Integration Units (DIUs) allocated to the Copy activity.
Enable staging by loading the data into a temporary Azure SQL Database first.
For Copy activities that move data from Azure Storage into lakehouses or data warehouses, throughput is largely determined by the number of Data Integration Units (DIUs) that the activity can use. Raising the parallel copy setting alone does not help if the execution engine is already CPU-bound, and using staging is intended for SQL destinations, not lakehouses. Packaging files into larger batches reduces overhead but lowers parallelism, often slowing the copy. Increasing the DIU setting provides additional compute threads and network throughput, enabling higher parallelism and therefore faster data movement, which directly addresses the bottleneck in this scenario.
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What are Data Integration Units (DIUs) in Microsoft Fabric?
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Why is enabling staging with Azure SQL Database not suitable here?
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How does increasing DIUs improve the performance of the Copy activity?
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Microsoft Fabric Data Engineer Associate DP-700
Monitor and optimize an analytics solution
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