Microsoft Azure Data Engineer Associate - DP-203
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Consider a scenario where a batch load of customer data into Azure SQL Database fails due to a schema mismatch. Outline the steps you would take to handle this failure, including how you would diagnose the issue, rectify the schema mismatch, and ensure the data load resumes without data loss.
Consider a scenario where a batch load of customer data into Azure SQL Database fails due to a schema mismatch. Outline the steps you would take to handle this failure, including how you would diagnose the issue, rectify the schema mismatch, and ensure the data load resumes without data loss.
Simulated
Explanation:
Diagnosing the issue using Azure Data Factory's monitoring tools allows for precise identification of the schema mismatch. Correcting the schema in the source and utilizing the pipeline's retry mechanism ensures that the data load can resume from the point of failure without the need to re-run the entire pipeline, thus saving time and resources.