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You are tasked with ensuring data quality for a large dataset stored in S3 that is processed using AWS Glue. Describe a scenario where you would run data quality checks while processing the data and explain how you would handle any issues identified, such as empty fields or inconsistent data formats.
A
Ignore the issues and continue processing.
B
Stop the processing and manually fix the issues.
C
Implement automated checks using AWS Glue DataBrew to identify and flag issues, then use conditional transformations to handle them.
D
Delete the problematic records and proceed with processing.