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Answer: Use AWS Data Lifecycle Manager to automate the process of transitioning and deleting data based on age or other criteria.
Option B, AWS Data Lifecycle Manager, is the correct choice for implementing a data retention policy. It allows you to automate the process of transitioning and deleting data based on age or other criteria, ensuring that data is retained for the specified period and then deleted automatically. This service integrates with various AWS storage services, including Amazon S3, EFS, and FSx. While other options like versioning, Object Lock, and RDS backups have their use cases, they do not specifically address the data retention and automatic deletion requirements as effectively as Data Lifecycle Manager.
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Your company is planning to implement a data retention policy that requires data to be retained for a specific period and then deleted automatically. Which of the following AWS services or features would you recommend to achieve this objective?
A
Enable versioning on the S3 bucket to preserve, retrieve, and restore every version of every object.
B
Use AWS Data Lifecycle Manager to automate the process of transitioning and deleting data based on age or other criteria.
C
Implement S3 Object Lock to prevent deletion or modification of objects for a specified retention period.
D
Use Amazon RDS with automated backups and long-term retention of snapshots.
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