Which storage solution meets these requirements MOST cost-effectively?

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In: SAA-C03
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A company has an application that collects data from IoT sensors on automobiles.The data is streamed and stored in Amazon S3 through Amazon Kinesis Data Firehose.The data produces trillions of S3 objects each year.Each morning, the company uses the data from the previous 30 days to retrain a suite of machine learning (ML) models.Four times each year, the company uses the data from the previous 12 months to perform analysis and train other ML models.The data must be available with minimal delay for up to 1 year.After 1 year, the data must be retained for archival purposes.

Which storage solution meets these requirements MOST cost-effectively?

Use the S3 Intelligent-Tiering storage class. Create an S3 Lifecycle policy to transition objects to S3 Glacier Deep Archive after 1 year.

Use the S3 Intelligent-Tiering storage class. Configure S3 Intelligent-Tiering to automatically move objects to S3 Glacier Deep Archive after 1 year.

Use the S3 Standard-Infrequent Access (S3 Standard-IA) storage class. Create an S3 Lifecycle policy to transition objects to S3 Glacier Deep Archive after 1 year.

Use the S3 Standard storage class. Create an S3 Lifecycle policy to transition objects to S3 Standard-Infrequent Access (S3 Standard-IA) after 30 days, and then to S3 Glacier Deep Archive after 1 year.

Explanations:

While S3 Intelligent-Tiering automatically moves data based on access patterns, it does not allow for a specific lifecycle policy that transitions objects to S3 Glacier Deep Archive after 1 year. The transition must be manually set in a lifecycle policy, making this option not fully aligned with the requirement for automated archival after 1 year.

This option suggests using S3 Intelligent-Tiering with automatic transitions to S3 Glacier Deep Archive after 1 year. However, Intelligent-Tiering does not have the capability to automatically move objects to Glacier Deep Archive after a set period; instead, it manages data based on access frequency, so this option does not meet the requirement.

Although S3 Standard-IA is suitable for infrequently accessed data, this option lacks an automated mechanism for transitioning data to S3 Glacier Deep Archive after 1 year. While a lifecycle policy could be applied to transition data after 1 year, the overall solution would not be the most cost-effective considering data access patterns during the first year.

This option correctly utilizes S3 Standard for the first 30 days, allowing for frequent access as needed for model training. It then transitions data to S3 Standard-IA for the next 11 months, which is cost-effective for infrequent access, and finally moves it to S3 Glacier Deep Archive for long-term storage after 1 year, meeting all data retention requirements effectively and cost-efficiently.

2026-03-16

2 Comments

  1. Daniel
    Author

    I believe the answer is:
    Use the S3 Standard storage class. Create an S3 Lifecycle policy to transition objects to S3 Standard-Infrequent Access (S3 Standard-IA) after 30 days, and then to S3 Glacier Deep Archive after 1 year.

  2. Joan
    Author

    I value that the answer is:
    Use the S3 Standard storage class. Create an S3 Lifecycle policy to transition objects to S3 Standard-Infrequent Access (S3 Standard-IA) after 30 days, and then to S3 Glacier Deep Archive after 1 year.

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