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Consider a scenario where you need to define data quality rules for a dataset that will be used for fraud detection. What steps would you take to ensure that the data quality rules are comprehensive and effective, and how would you use AWS Glue DataBrew to enforce these rules?
A
Define basic rules only and rely on manual checks.
B
Define detailed rules using AWS Glue DataBrew, including checks for data completeness, consistency, and accuracy, and automate the enforcement of these rules during data processing.
C
Define rules but do not automate their enforcement.
D
Outsource the rule definition to a third-party vendor.