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Difficulty: EasyOptimizing Performance with Caching and DAX

A developer is building a weather forecasting web application that retrieves current weather conditions from an Amazon DynamoDB table based on a postal code. The application experiences a large number of duplicate read requests for the same popular postal codes, resulting in high latency and read throttling. The developer wants to optimize the application's read performance with minimal changes to the application code. Which action should the developer take to resolve this issue?

  1. A
    Modify the application code to perform DynamoDB Scan operations instead of Query operations to retrieve the weather data.
  2. Configure and deploy an Amazon DynamoDB Accelerator (DAX) cluster to cache the read requests from the DynamoDB table.Answer
  3. C
    Increase the provisioned read capacity units (RCUs) on the DynamoDB table to absorb the spikes in read volume.
  4. D
    Store the retrieved weather data in AWS Systems Manager Parameter Store and enable automatic parameter rotation.

Answer

Configure and deploy an Amazon DynamoDB Accelerator (DAX) cluster to cache the read requests from the DynamoDB table.
Amazon DynamoDB Accelerator (DAX) is a fully managed, in-memory cache designed specifically for DynamoDB. It provides sub-millisecond response times for read-heavy workloads with minimal application code modifications, as the DAX client SDK is API-compatible with the standard DynamoDB client.

Step-by-Step Solution

1
Analyze the application's read pattern and latency requirement.
The application reads identical data keys (postal codes) repeatedly, resulting in read throttling and high latency.
Identifying that the workload has repetitive read patterns helps select an in-memory caching solution to offload the database.
2
Select the caching solution that integrates directly with DynamoDB without major code modifications.
Amazon DynamoDB Accelerator (DAX) is chosen because it acts as a seamless write-through/read-through cache.
DAX provides API-compatible caching, enabling sub-millisecond response times with minimal application change.

Key Concept

Using DynamoDB Accelerator (DAX) to optimize read performance and reduce latency for read-heavy workloads with minimal code changes.
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Topics

Optimizing Performance with Caching and DAX

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