Topic 1 Question 92
A company is running an application in the AWS Cloud. The application collects and stores a large amount of unstructured data in an Amazon S3 bucket. The S3 bucket contains several terabytes of data and uses the S3 Standard storage class. The data increases in size by several gigabytes every day.
The company needs to query and analyze the data. The company does not access data that is more than 1 year old. However, the company must retain all the data indefinitely for compliance reasons.
Which solution will meet these requirements MOST cost-effectively?
Use S3 Select to query the data. Create an S3 Lifecycle policy to transition data that is more than 1 year old to S3 Glacier Deep Archive.
Use Amazon Redshift Spectrum to query the data. Create an S3 Lifecycle policy to transition data that is more than 1 year old 10 S3 Glacier Deep Archive.
Use an AWS Glue Data Catalog and Amazon Athena to query the data. Create an S3 Lifecycle policy to transition data that is more than 1 year old to S3 Glacier Deep Archive.
Use Amazon Redshift Spectrum to query the data. Create an S3 Lifecycle policy to transition data that is more than 1 year old to S3 Intelligent-Tiering.
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コメント(9)
- 正解だと思う選択肢: C
The correct answer is C. Use an AWS Glue Data Catalog and Amazon Athena to query the data. Create an S3 Lifecycle policy to transition data that is more than 1 year old to S3 Glacier Deep Archive.
This solution allows you to use Amazon Athena and the AWS Glue Data Catalog to query and analyze the data in an S3 bucket. Amazon Athena is a serverless, interactive query service that allows you to analyze data in S3 using SQL. The AWS Glue Data Catalog is a managed metadata repository that can be used to store and retrieve table definitions for data stored in S3. Together, these services can provide a cost-effective way to query and analyze large amounts of unstructured data. Additionally, by using an S3 Lifecycle policy to transition data that is more than 1 year old to S3 Glacier Deep Archive, you can retain the data indefinitely for compliance reasons while also reducing storage costs.
👍 6masetromain2023/01/17 - 正解だと思う選択肢: A
A is the correct answer. S3 Select allows you to query the data stored in an S3 bucket, which can be useful when you need to retrieve specific subsets of data from a large amount of data. By creating an S3 Lifecycle policy to transition data that is more than 1 year old to S3 Glacier Deep Archive, you can save cost as it is a low-cost storage class for archival data that is infrequently accessed and for which retrieval times of several hours are acceptable. This solution is most cost-effective as it allows you to keep all the data indefinitely for compliance reasons while also reducing storage costs for older data that is not frequently accessed.
The other options are not as cost-effective as they would require additional costs for data transfer, storage and query in other services.
👍 3masetromain2023/01/15 - 正解だと思う選択肢: C
Generally, unstructured data should be converted structured data before querying them. AWS Glue can do that. https://docs.aws.amazon.com/glue/latest/dg/schema-relationalize.html https://docs.aws.amazon.com/athena/latest/ug/glue-athena.html
👍 3Untamables2023/01/28
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