DVA-C02 · Question #769
A developer is working on a web application that runs on Amazon ECS and uses an Amazon DynamoDB table to store data. The application performs a large number of read requests against a small set of…
The correct answer is A. Create an Amazon ElastiCache cluster. Configure the application to cache data in the cluster. B. Create a DynamoDB Accelerator (DAX) cluster. Configure the application to use the DAX cluster. Using an in-memory cache significantly reduces latency for repeated reads of the same data. Amazon ElastiCache allows the application to cache frequently accessed items outside of DynamoDB, minimizing direct database calls. DynamoDB Accelerator (DAX) is purpose-built to cache…
Question
A developer is working on a web application that runs on Amazon ECS and uses an Amazon DynamoDB table to store data. The application performs a large number of read requests against a small set of the table data. How can the developer improve the performance of these requests? (Choose two.)
Options
- ACreate an Amazon ElastiCache cluster. Configure the application to cache data in the cluster.
- BCreate a DynamoDB Accelerator (DAX) cluster. Configure the application to use the DAX cluster
- CConfigure the application to make strongly consistent read requests against the DynamoDB table.
- DIncrease the read capacity of the DynamoDB table.
- EEnable DynamoDB adaptive capacity.
How the community answered
(40 responses)- A83% (33)
- C5% (2)
- D10% (4)
- E3% (1)
Explanation
Using an in-memory cache significantly reduces latency for repeated reads of the same data. Amazon ElastiCache allows the application to cache frequently accessed items outside of DynamoDB, minimizing direct database calls. DynamoDB Accelerator (DAX) is purpose-built to cache DynamoDB data and delivers microsecond response times for read-heavy workloads that repeatedly access a small subset of data, making it highly effective for improving read
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