A company stores its data in an Amazon S3 bucket. The company is required to classify the data and find any sensitive personal information in its S3 files. Which solution will meet these requirements?
A.
Create an AWS Config rule to discover sensitive personal information in the S3 files and mark them as noncompliant.
B.
Create an S3 event-driven artificial intelligence/machine learning (AI/ML) pipeline to classify sensitive personal information by using Amazon Rekognition.
C.
Enable Amazon GuardDuty. Configure S3 protection to monitor all data inside Amazon S3.
D.
Enable Amazon Macie. Create a discovery job that uses the managed data identifier.
To discover sensitive data with Amazon Macie, you create and run sensitive data discovery jobs. A sensitive data discovery job analyzes objects in Amazon Simple Storage Service (Amazon S3) buckets to determine whether the objects contain sensitive data, and it provides detailed reports of the sensitive data that it finds and the analysis that it performs. By creating and running jobs, you can automate discovery, logging, and reporting of sensitive data in S3 buckets.
https://docs.aws.amazon.com/macie/latest/user/data-classification.html
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