Microsoft Azure Data Engineer Associate - DP-203
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You are responsible for measuring the performance of data movement within an Azure data pipeline. Describe the metrics you would track, the tools you would use to measure these metrics, and how you would ensure that the data movement is optimized for efficiency and reliability.
Explanation:
Tracking data throughput is essential for understanding the efficiency of data movement. Azure Data Factory is a suitable tool for measuring this metric, as it provides detailed insights into pipeline performance. Optimizing pipeline schedules ensures that data movement occurs during off-peak times, reducing latency and improving overall efficiency.