A company has an application that reads data from an Amazon DynamoDB table. The data is updated infrequently but read thousands of times per second. The read operations are consuming a large amount of provisioned read capacity units (RCUs), leading to high costs. <br/><br/>How can the solutions architect reduce the DynamoDB costs while maintaining performance?

Answer options:

Change the table to On-Demand capacity mode.

Implement Amazon DynamoDB Accelerator (DAX).

Enable DynamoDB Streams.

Use strongly consistent reads instead of eventually consistent reads.

How to approach this question

Identify the caching layer for DynamoDB that offloads read requests.

Full Answer

B.Implement Amazon DynamoDB Accelerator (DAX).✓ Correct

Implement Amazon DynamoDB Accelerator (DAX).

Amazon DynamoDB Accelerator (DAX) is an in-memory cache for DynamoDB. By caching frequently read data, DAX reduces the read load on the underlying DynamoDB table, allowing you to lower the provisioned RCUs and save money.

Common mistakes

Choosing On-Demand mode, thinking it's always cheaper.

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