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 Recognition.
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.
Answer: D
Explanation:
Amazon Macie is a security service designed to help organizations find, classify, and protect sensitive data stored in Amazon S3. Amazon Macie uses machine learning to automatically discover, classify, and protect sensitive data in Amazon S3. Creating a discovery job with the managed data identifier will allow Macie to identify sensitive personal information in the S3 files and classify it accordingly. Enabling AWS Config and Amazon GuardDuty will not help with this requirement as they are not designed to automatically classify and protect data.
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