Microsoft Fabric Analytics Engineer Associate DP-600
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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.
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.
Simulated
Explanation:
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.