AWS Certified Solutions Architect - Associate
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A company stores call transcript files on a monthly basis. Users access the files randomly within 1 year of the call, but users access the files infrequently after 1 year. The company wants to optimize its solution by giving users the ability to query and retrieve files that are less than 1-year-old as quickly as possible. A delay in retrieving older files is acceptable.
Which solution will meet these requirements MOST cost-effectively?
Other
Community
UAnonymous
A
Store individual files with tags in Amazon S3 Glacier Instant Retrieval. Query the tags to retrieve the files from S3 Glacier Instant Retrieval.
B
Store individual files in Amazon S3 Intelligent-Tiering. Use S3 Lifecycle policies to move the files to S3 Glacier Flexible Retrieval after 1 year. Query and retrieve the files that are in Amazon S3 by using Amazon Athena. Query and retrieve the files that are in S3 Glacier by using S3 Glacier Select.
C
Store individual files with tags in Amazon S3 Standard storage. Store search metadata for each archive in Amazon S3 Standard storage. Use S3 Lifecycle policies to move the files to S3 Glacier Instant Retrieval after 1 year. Query and retrieve the files by searching for metadata from Amazon S3.
D
Store individual files in Amazon S3 Standard storage. Use S3 Lifecycle policies to move the files to S3 Glacier Deep Archive after 1 year. Store search metadata in Amazon RDS. Query the files from Amazon RDS. Retrieve the files from S3 Glacier Deep Archive.
Explanation:
Explanation
Option B is the most cost-effective solution because it:
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Uses S3 Intelligent-Tiering for files less than 1 year old: This automatically moves objects between access tiers (Frequent, Infrequent Access, Archive Instant Access) based on changing access patterns, optimizing costs while maintaining low-latency retrieval for frequently accessed files.
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Moves older files to S3 Glacier Flexible Retrieval after 1 year: This is appropriate for infrequently accessed data where retrieval times of minutes to hours are acceptable (as stated in requirements).
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Uses Amazon Athena for querying files in S3: Athena allows SQL queries directly on S3 data without needing to manage infrastructure.
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Uses S3 Glacier Select for querying files in Glacier: This allows querying data directly in Glacier without needing to restore entire archives.
Why other options are less optimal:
- Option A: S3 Glacier Instant Retrieval is more expensive than S3 Intelligent-Tiering for frequently accessed data and doesn't provide the query capabilities needed.
- Option C: Using S3 Standard for all files less than 1 year is more expensive than S3 Intelligent-Tiering, and S3 Glacier Instant Retrieval is more expensive than S3 Glacier Flexible Retrieval for infrequently accessed data.
- Option D: S3 Glacier Deep Archive has very long retrieval times (12+ hours) which may exceed acceptable delays, and maintaining an RDS database adds unnecessary complexity and cost for metadata storage.
Key AWS Services Used:
- S3 Intelligent-Tiering: Optimizes costs automatically based on access patterns
- S3 Lifecycle Policies: Automates tier transitions
- Amazon Athena: Serverless query service for S3 data
- S3 Glacier Select: Query capability for Glacier data
This solution balances cost optimization with the required performance characteristics for both access patterns.
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