AWS Certified Solutions Architect – Associate (SAA-C02) — Question 622

A company hosts a multiplayer gaming application on AWS. The company wants the application to read data with sub-millisecond latency and run one-time queries on historical data.
Which solution will meet these requirements with the LEAST operational overhead?

Answer options

• A. Use Amazon RDS for data that is frequently accessed. Run a periodic custom script to export the data to an Amazon S3 bucket.
• B. Store the data directly in an Amazon S3 bucket. Implement an S3 Lifecycle policy to move older data to S3 Glacier Deep Archive for long-term storage. Run one-time queries on the data in Amazon S3 by using Amazon Athena.
• C. Use Amazon DynamoDB with DynamoDB Accelerator (DAX) for data that is frequently accessed. Export the data to an Amazon S3 bucket by using DynamoDB table export. Run one-time queries on the data in Amazon S3 by using Amazon Athena.
• D. Use Amazon DynamoDB for data that is frequently accessed. Turn on streaming to Amazon Kinesis Data Streams. Use Amazon Kinesis Data Firehose to read the data from Kinesis Data Streams. Store the records in an Amazon S3 bucket.

Correct answer: C

Explanation

Amazon DynamoDB with DAX provides the required sub-millisecond read latency for frequently accessed gaming data. Using the native DynamoDB table export feature to move data to Amazon S3 and querying it with Amazon Athena satisfies the ad-hoc historical query requirement with the least operational overhead. Other options either fail to meet the sub-millisecond latency requirement or require complex custom scripting and streaming configurations.