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Answer: Monitor the data storage and data processing together, considering their interdependencies and how they impact the overall performance of the pipeline.
Monitoring the data storage and data processing together is important for ensuring that the pipeline is operating efficiently and effectively. The data storage and data processing are interdependent, and issues in either area can impact the overall performance of the pipeline. By monitoring both aspects together, you can identify and address any bottlenecks or inefficiencies that may be affecting the pipeline. Focusing only on one aspect, such as the data processing or the data storage, can result in a lack of visibility into the overall performance of the pipeline and potential issues that may arise.
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You are working on a data pipeline in Azure Data Factory that processes large volumes of data. How can you monitor the data storage and data processing to ensure that the pipeline is operating efficiently and effectively?
A
Monitor the data storage and data processing separately, without considering their interdependencies.
B
Monitor the data storage and data processing together, considering their interdependencies and how they impact the overall performance of the pipeline.
C
Focus only on monitoring the data processing, as the data storage is not relevant to the pipeline's performance.
D
Focus only on monitoring the data storage, as the data processing is not relevant to the pipeline's performance.