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?
- AUse Amazon RDS for data that is frequently accessed. Run a periodic custom script to export the data to an Amazon S3 bucket.
- BStore 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.
- CUse 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. (correct answer)
- DUse 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.
Reveal answer & explanationHide answer
The correct answer is C. Option 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 A...
Explanation
Amazon S3 provides durable, scalable object storage that is fully managed. Amazon DynamoDB is a fully managed, serverless NoSQL database with single-digit millisecond latency and automatic scaling. DynamoDB Accelerator (DAX) adds an in-memory cache for microsecond DynamoDB reads.