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Answer: Run comprehensive checks using AWS Glue DataBrew, ensuring that all checks comply with regulatory standards and protect sensitive information.
Running comprehensive checks using AWS Glue DataBrew ensures that data quality is maintained while also adhering to regulatory requirements and protecting sensitive information.
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Imagine you are dealing with a healthcare dataset where data quality is critical. How would you ensure that the data quality checks you run while processing the data are robust enough to handle sensitive information and comply with regulatory requirements?
A
Run basic checks only.
B
Run detailed checks but do not consider regulatory compliance.
C
Run comprehensive checks using AWS Glue DataBrew, ensuring that all checks comply with regulatory standards and protect sensitive information.
D
Outsource the data quality checks to a third-party vendor.