Answer-first summary for fast verification
Answer: Use parallel processing and optimize data partitioning
Fast Copy in dataflows is implemented by using parallel processing and optimizing data partitioning. This allows the dataflow to distribute the load across multiple processing units, reducing the time required to copy large datasets. Regular data copying methods may not utilize parallel processing as effectively, leading to longer execution times and higher resource utilization.
Author: LeetQuiz Editorial Team
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You have a dataflow that needs to copy data from a Fabric data source to a lakehouse. Describe the steps you would take to implement Fast Copy in the dataflow and explain how it differs from regular data copying methods in terms of performance and resource utilization.
A
Use parallel processing and optimize data partitioning
B
Increase the number of nodes in the dataflow
C
Reduce the number of transformations
D
None of the above
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