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Question 502 - SAA-C03 discussion

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A company migrated a MySQL database from the company's on-premises data center to an Amazon RDS for MySQL DB instance. The company sized the RDS DB instance to meet the company's average daily workload. Once a month, the database performs slowly when the company runs queries for a report. The company wants to have the ability to run reports and maintain the performance of the daily workloads.

Which solution will meet these requirements?

A.
Create a read replica of the database. Direct the queries to the read replica.
Answers
A.
Create a read replica of the database. Direct the queries to the read replica.
B.
Create a backup of the database. Restore the backup to another DB instance. Direct the queries to the new database.
Answers
B.
Create a backup of the database. Restore the backup to another DB instance. Direct the queries to the new database.
C.
Export the data to Amazon S3. Use Amazon Athena to query the S3 bucket.
Answers
C.
Export the data to Amazon S3. Use Amazon Athena to query the S3 bucket.
D.
Resize the DB instance to accommodate the additional workload.
Answers
D.
Resize the DB instance to accommodate the additional workload.
Suggested answer: C

Explanation:

Amazon Athena is a service that allows you to run SQL queries on data stored in Amazon S3. It is serverless, meaning you do not need to provision or manage any infrastructure.You only pay for the queries you run and the amount of data scanned1.

By using Amazon Athena to query your data in Amazon S3, you can achieve the following benefits:

You can run queries for your report without affecting the performance of your Amazon RDS for MySQL DB instance. You can export your data from your DB instance to an S3 bucket and use Athena to query the data in the bucket. This way, you can avoid the overhead and contention of running queries on your DB instance.

You can reduce the cost and complexity of running queries for your report. You do not need to create a read replica or a backup of your DB instance, which would incur additional charges and require maintenance. You also do not need to resize your DB instance to accommodate the additional workload, which would increase your operational overhead.

You can leverage the scalability and flexibility of Amazon S3 and Athena. You can store large amounts of data in S3 and query them with Athena without worrying about capacity or performance limitations.You can also use different formats, compression methods, and partitioning schemes to optimize your data storage and query performance1.

asked 16/09/2024
niels valk
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