AWS Certified Developer Associate DVA-C02 Practice Question
An application you are developing requires frequent, low-latency lookups of user preferences, which are saved in Amazon DynamoDB. To improve the performance, which technique would be BEST to implement?
Increase the read capacity units (RCUs) of the DynamoDB table to handle higher read traffic.
Utilize Amazon DynamoDB Accelerator (DAX) to provide in-memory caching for DynamoDB data.
Use a larger EC2 instance type to host the application for better performance.
Implement a custom in-memory object caching within the application to store user preferences.
Caching frequently accessed items locally within the application using Amazon DynamoDB Accelerator (DAX) is the best choice because DAX provides an in-memory cache for DynamoDB, reducing the response times from milliseconds to microseconds and thereby improving read performance for frequently accessed items. This approach is better than using a larger EC2 instance or manually caching items, which might not handle the cache invalidation as efficiently as DAX. Directly querying DynamoDB without a caching layer would not reduce latency to the extent that leveraging DAX would.
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How does DAX improve read performance compared to other caching methods?
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AWS Certified Developer Associate DVA-C02
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