AWS Certified Developer Associate DVA-C02 Practice Question
A development team is managing a high-traffic application that stores user profile data in an Amazon DynamoDB table. The application is experiencing read throttling and increased latency due to frequent reads of the same popular user profiles. The team needs a solution that minimizes read latency for these hot items and reduces the read load on DynamoDB. Which approach is the MOST effective for this scenario?
Implement a cache with Amazon ElastiCache using a write-through strategy.
Implement Amazon DynamoDB Accelerator (DAX) to serve as an in-memory cache for the table.
Increase the table's provisioned Read Capacity Units (RCUs).
Cache the user profiles as objects in an Amazon S3 bucket.
Amazon DynamoDB Accelerator (DAX) is the most effective solution because it is a fully managed, in-memory cache specifically designed and optimized for DynamoDB. It transparently handles caching of frequently accessed items, reducing read latency from milliseconds to microseconds and offloading read traffic from the underlying table to mitigate throttling. While increasing the table's Read Capacity Units (RCUs) would address throttling, it is often less cost-effective and does not provide the same latency improvement for hot items as an in-memory cache. An ElastiCache cluster with a write-through strategy is suboptimal because the workload is read-heavy, not write-heavy. Using Amazon S3 is inappropriate for this use case, as it is an object storage service not designed for low-latency database caching.
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AWS Certified Developer Associate DVA-C02
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