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Answer: Data read and write throughput in Azure Data Lake Storage Gen2 and Azure SQL Database.
To ensure the efficiency and reliability of data movement in a data pipeline, you should monitor the data read and write throughput in both the source (Azure Data Lake Storage Gen2) and the destination (Azure SQL Database). This will help you identify any bottlenecks or performance issues that may affect the data movement. Option B is related to the failure of data factory pipelines and activities, but it does not directly measure the performance of data movement. Option C is related to the performance of the Azure Data Factory service itself, not the data movement. Option D is related to the triggers and their execution status, which is not directly related to the performance of data movement.
Author: LeetQuiz Editorial Team
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You are responsible for monitoring the performance of a data pipeline that uses Azure Data Factory to move data from Azure Data Lake Storage Gen2 to Azure SQL Database. Which of the following metrics should you monitor to ensure the efficiency and reliability of the data movement?
A
Data read and write throughput in Azure Data Lake Storage Gen2 and Azure SQL Database.
B
Number of failed data factory pipelines and activities.
C
CPU and memory usage of the Azure Data Factory service.
D
Number of data factory triggers and their execution status.
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