文章讨论了如何通过将文件存储在AmazonS3Intelligent-Tiering中并使用S3Lifecycle策略将1年后不常访问的数据移动到S3GlacierFlexibleRetrieval，以满足用户快速检索新文件的需求，同时对旧文件提供可接受的延迟。AmazonAthena用于查询S3中的数据，而S3GlacierSelect则进一步节省成本。最终推荐方案B是成本效益最高的。
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?
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.
The most cost-effective solution would be Option B.
Storing individual files in Amazon S3 Intelligent-Tiering allows for automatic cost savings as the access patterns change, without performance impact or operational overhead. Using S3 Lifecycle policies to move the files to S3 Glacier Flexible Retrieval after 1 year is a cost-effective solution for infrequently accessed data where retrieval times of a few minutes to hours are acceptable.
You can query and retrieve the files that are in Amazon S3 by using Amazon Athena, which is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. For the files that are in S3 Glacier, you can use S3 Glacier Select to retrieve only the data you need from an archive, which can further save costs.
This solution meets the requirement of quick retrieval for files less than 1-year-old and acceptable delay for older files, while optimizing costs.
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