Answer-first summary for fast verification
Answer: Use multiple data pipelines with data partitioning
To optimize the data copying process using a data pipeline, you would use multiple data pipelines with data partitioning. This allows the data to be divided into smaller, more manageable chunks, which can be processed in parallel. Parallel processing improves performance by distributing the load across multiple processing units.
Author: LeetQuiz Editorial Team
Ultimate access to all questions.
You are working with a large dataset that needs to be copied from a Fabric data source to a lakehouse. Describe the steps you would take to optimize the data copying process using a data pipeline, and explain how you would handle data partitioning and parallel processing to improve performance.
A
Use a single data pipeline with no partitioning
B
Use multiple data pipelines with data partitioning
C
Use a single data pipeline with data partitioning
D
None of the above
No comments yet.