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A company's data scientists are utilizing Amazon SageMaker to develop AI/ML training models. These models rely on large datasets stored in an Amazon S3 bucket, which contains sensitive information. Typically, the data scientists spend 30 days training these models. The S3 bucket has been secured appropriately. The company has a data retention policy that requires all data older than 45 days to be removed from the S3 bucket. What should a security engineer do to enforce this data retention policy?
A
Configure an S3 Lifecycle rule on the S3 bucket to delete objects after 45 days.
B
Create an AWS Lambda function to check the last-modified date of the S3 objects and delete objects that are older than 45 days. Create an S3 event notification to invoke the Lambda function for each PutObject operation.
C
Create an AWS Lambda function to check the last-modified date of the S3 objects and delete objects that are older than 45 days. Create an Amazon EventBridge rule to invoke the Lambda function each month.
D
Configure S3 Intelligent-Tiering on the S3 bucket to automatically transition objects to another storage class.