A developer is writing an application that will store data in a DynamoDB table.
The ratio of reads operations to write operations will be 1000 to 1, with the same data being accessed frequently. What should the Developer enable on the DynamoDB table to optimize performance and minimize costs?
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A. B. C. D.Answer - D.
The AWS Documentation mentions the following.
DAX is a DynamoDB-compatible caching service that enables you to benefit from fast in-memory performance for demanding applications.
DAX addresses three core scenarios:
1
As an in-memory cache, DAX reduces the response times of eventually-consistent read workloads by order of magnitude, from single-digit milliseconds to microseconds.
2
DAX reduces operational and application complexity by providing a managed service that is API-compatible with Amazon DynamoDB and requires only minimal functional changes to use with an existing application.
3
For read-heavy or bursty workloads, DAX provides increased throughput and potential operational cost savings by reducing the need to over-provision read capacity units.
This is especially beneficial for applications that require repeated reads for individual keys.
Option A is incorrect since this is good when you have unpredictable workloads.
Option B is incorrect since this is good for disaster recovery scenarios.
Option C is incorrect since this is good to stream data to other sources.
For more information on DynamoDB Accelerator, please refer to the below Link-
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/DAX.htmlThe optimal solution for this scenario is to enable Amazon DynamoDB auto scaling (option A).
DynamoDB auto scaling is a feature that automatically adjusts the provisioned throughput capacity of a DynamoDB table based on the workload. It can automatically increase or decrease the read and write capacity units in response to changes in the request traffic patterns, ensuring that the application has enough capacity to handle the workload.
In this case, since the read to write ratio is 1000:1 and the same data is accessed frequently, the application will require a high read capacity and a low write capacity. Enabling auto scaling will ensure that the table has the required capacity to handle the read traffic, while minimizing the cost of the write traffic.
Amazon DynamoDB cross-region replication (option B) is not relevant to this scenario, as it is used for replicating data between multiple DynamoDB tables in different regions, for purposes such as disaster recovery or serving global users.
Amazon DynamoDB Streams (option C) is a feature that captures a time-ordered sequence of item-level modifications in a DynamoDB table. While it can be useful for building additional features such as real-time data processing or event-driven architectures, it is not directly relevant to optimizing the read-to-write ratio or minimizing costs.
Amazon DynamoDB Accelerator (option D) is a caching service that can improve the performance of DynamoDB queries by providing sub-millisecond response times. While it can be useful for reducing the latency of frequently accessed data, it is not directly relevant to optimizing the read-to-write ratio or minimizing costs.