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Answer: Enable S3 Lifecycle policies to automatically transition hot data to S3 Standard-IA and cold data to S3 Glacier after 30 days.
Option A is the correct strategy. S3 Lifecycle policies allow you to automatically transition data between storage classes based on predefined rules, such as object age or access patterns. By enabling these policies, you can ensure that hot data is stored in S3 Standard for high performance and cold data is moved to S3 Glacier for cost-effective long-term storage. This approach optimizes storage costs while still meeting the data lifecycle requirements. Option B is not scalable, and options C and D do not address the specific needs of managing hot and cold data lifecycles.
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You are responsible for managing the lifecycle of a large dataset in Amazon S3. The dataset includes both hot and cold data, and you need to ensure that it is stored cost-effectively while meeting business and legal requirements. Which of the following strategies would you implement to optimize the storage cost and manage the data lifecycle?
A
Enable S3 Lifecycle policies to automatically transition hot data to S3 Standard-IA and cold data to S3 Glacier after 30 days.
B
Manually move data between storage classes based on access patterns observed in the logs.
C
Disable versioning to reduce storage costs, as the dataset does not require data protection.
D
Use S3 Cross-Region Replication to replicate the dataset to another region for disaster recovery purposes, regardless of the access frequency.
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