Microsoft Azure Data Engineer Associate - DP-203
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Consider a scenario where you are managing a data pipeline that involves processing large datasets in Azure Synapse Analytics. During execution, you notice that some operations are causing data spills to disk, significantly slowing down the process. Describe the steps you would take to identify the causes of these data spills and how you would optimize the pipeline to minimize or eliminate them.
Consider a scenario where you are managing a data pipeline that involves processing large datasets in Azure Synapse Analytics. During execution, you notice that some operations are causing data spills to disk, significantly slowing down the process. Describe the steps you would take to identify the causes of these data spills and how you would optimize the pipeline to minimize or eliminate them.
Explanation:
Optimizing the query execution plan involves refining the way data is processed and aggregated, which can reduce the amount of data that needs to be spilled to disk. This approach addresses the root cause of the issue by improving the efficiency of data operations, thereby minimizing the need for data spills and enhancing overall performance.