An application repeatedly reads the same DynamoDB items with very low latency requirements. The application can tolerate slightly stale data (for example, within a few seconds). You want to improve read latency without changing the existing DynamoDB table schema. Which service is the best choice?

Amazon S3 Transfer Acceleration

S3 Transfer Acceleration speeds up uploads/downloads to S3 over the network. It does not accelerate DynamoDB API reads or cache DynamoDB item data.

Amazon EFS

Amazon EFS is a file storage service. It does not provide DynamoDB read caching or the ability to accelerate DynamoDB API operations.

AWS CloudTrail for data plane reads

CloudTrail records API activity for audit and compliance. It does not speed up application reads and cannot serve as a low-latency cache for DynamoDB item responses.

What does this SAA-C03 question test?

Static NAT maps one inside address to one outside address.

What is the correct answer to this question?

The correct answer is: Amazon DAX — A. Amazon DAX is specifically built to accelerate DynamoDB reads by adding an in-memory caching layer in front of DynamoDB. For applications that frequently read the same items, DAX can serve many requests from cache, reducing latency. Because the scenario allows slightly stale data (within a few seconds), DAX’s caching behavior aligns with the application’s consistency tolerance. No changes to the DynamoDB table schema are required; instead, the application uses the DAX cluster endpoint for reads. B is wrong because Transfer Acceleration targets S3 transfer paths, not DynamoDB item reads. C is wrong because EFS provides shared file systems, not cached DynamoDB API access. D is wrong because CloudTrail is for logging/auditing API calls and does not improve read latency.

What should I do if I get this SAA-C03 question wrong?

Then try more questions from the same exam bank and focus on understanding why the wrong options are tempting.