AWS Certified Solutions Architect Associate SAA-C03 Practice Question
A company generates large amounts of data from their IoT devices and stores this data on Amazon S3 for real-time analysis. After 30 days, the data is rarely accessed but must be retained for one year for compliance reasons. What is the most cost-effective strategy to manage the lifecycle of this data?
Keep the data in S3 Standard for the entire year as it may be needed for unplanned analysis.
Move the data to S3 Glacier after 30 days and delete it after one year.
Move the data to S3 Standard-Infrequent Access after 30 days and delete it after one year.
Transfer the data to EBS Cold HDD volumes after 30 days and delete it after one year.
The correct answer is to move the data to S3 Glacier after 30 days and delete it after one year. This strategy is cost-effective because S3 Glacier provides low-cost storage for long-term archiving of data that is rarely accessed. Since the data is not needed for real-time analysis after the initial 30 days, transitioning to a less expensive storage class until the compliance retention period expires will result in cost savings. Other options like moving the data to S3 Standard-Infrequent Access or keeping it on S3 Standard are not as cost-efficient for the given access patterns.
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