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Answer: Amazon S3, by using S3 Object Lock and S3 Lifecycle policies to manage data retention.
To implement data retention policies for data stored in an AWS data lake, you can use Amazon S3 Object Lock and S3 Lifecycle policies. These features allow you to manage data retention effectively. By integrating these policies with the AWS Glue Data Catalog, you can ensure that the metadata for data subject to retention policies is accurately reflected in the catalog. While AWS Glue jobs can be used for custom data management tasks, they do not directly enforce data retention policies. AWS Lake Formation provides access control and metadata management, but it does not have built-in data retention policy enforcement. AWS Data Lifecycle Manager is a service for managing Amazon EBS snapshots, not for data retention in S3.
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You are responsible for designing a data governance strategy for your company's data lake, which is built on AWS services. One of the requirements is to enforce data retention policies for data stored in the data lake. Which AWS service can you use to implement data retention policies, and how can you integrate it with the AWS Glue Data Catalog?
A
Amazon S3, by using S3 Object Lock and S3 Lifecycle policies to manage data retention.
B
AWS Glue, by creating custom Glue jobs that identify and delete outdated data based on the data retention policy.
C
AWS Lake Formation, by using its fine-grained access control and data lineage features to enforce data retention policies.
D
AWS Data Lifecycle Manager, by integrating it with Amazon S3 and using it to manage data retention for objects in the data lake.