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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?
A
Use the S3 Intelligent-Tiering storage class. Create an S3 Lifecycle policy to transition objects to S3 Glacier Deep Archive after 1 year.
B
Use the S3 Intelligent-Tiering storage class. Configure S3 Intelligent-Tiering to automatically move objects to S3 Glacier Deep Archive after 1 year.
C
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.
D
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.
Explanation:
Correct Answer: A
Why Option A is correct:
S3 Intelligent-Tiering is the most cost-effective choice for data with unknown or changing access patterns:
Lifecycle policy to Glacier Deep Archive after 1 year:
Why other options are incorrect:
Option B: Incorrect because S3 Intelligent-Tiering cannot automatically move objects to Glacier Deep Archive. Intelligent-Tiering only moves between Frequent Access and Infrequent Access tiers within S3. Glacier transitions require lifecycle policies.
Option C: S3 Standard-IA is more expensive than Intelligent-Tiering for this use case because:
Option D: S3 Standard is the most expensive option for this scenario:
Key AWS Concepts: