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Exam AWS Certified Developer Associate topic 1 question 22 discussion

Exam question from Amazon's AWS Certified Developer Associate

Question #: 22
Topic #: 1

[All AWS Certified Developer Associate Questions]

A developer is working on a web application that runs on Amazon Elastic Container Service (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.)

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 for DynamoDB requests.
C. Configure the application to make strongly consistent read requests against the DynamoDB table.
D. Increase the read capacity of the DynamoDB table.
E. Enable DynamoDB adaptive capacity.

Show Suggested Answer

Suggested Answer: B 🗳️

by Danbraga at Aug. 31, 2022, 10:36 p.m.

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Comments

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JAMG54

Highly Voted 2 years, 10 months ago

A and B

upvoted 18 times

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haazybanj

Highly Voted 2 years, 8 months ago

Selected Answer: B

B and D

upvoted 14 times

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haywk12

Most Recent 2 weeks, 6 days ago

Selected Answer: B

As DAX work as a DynamoDB Caching service, so each time trying to read the data it can easily fetches from DAX cluster only without iterating over a table

upvoted 1 times

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sumanshu

6 months, 2 weeks ago

Selected Answer: B

A & B C) - Eliminated - As Strongly Consistent Read may increase latency because DynamoDB needs to ensure the latest data is retrieved.

upvoted 2 times

sumanshu

6 months, 2 weeks ago

B) Correct - DAX is a purpose-built caching service for DynamoDB. It provides microsecond-level response times for read-heavy workloads by caching the most frequently accessed data.

upvoted 2 times

sumanshu

6 months, 2 weeks ago

D) Eliminated - While increasing the read capacity ensures that the table can handle more read requests, it does not directly improve performance (latency). Additionally, this option can lead to higher costs

upvoted 1 times

sumanshu

6 months, 2 weeks ago

A) Correct - ElastiCache is a fully managed in-memory caching service (supporting Redis and Memcached) that can reduce the load on DynamoDB by caching frequently accessed data. So, Developer can go either with DAX or ElasticCache

upvoted 1 times

sumanshu

6 months, 2 weeks ago

E) Eliminated - Adaptive capacity helps DynamoDB tables automatically adjust to uneven workloads by redistributing provisioned throughput. However, it does not address the performance issue

upvoted 1 times

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jeanpierregs21

7 months, 2 weeks ago

AB for me, "small set of the table data" discard option D

upvoted 1 times

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thucta96dn

8 months ago

Selected Answer: C

C & D is correct

upvoted 1 times

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Berkan

8 months, 2 weeks ago

Selected Answer: A

A and B is correct

upvoted 1 times

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sohil_khattar

1 year, 2 months ago

Selected Answer: A

A is the correct answer

upvoted 1 times

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Yahya_Badawy

1 year, 2 months ago

For high read requests I would go for option (D) And for small set of table data, I would choose to cache them as long as they're the same every time, so I would go for (A).

upvoted 1 times

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Baalhammun

1 year, 4 months ago

Selected Answer: B

B & D: Not A because elasticache is good when you have aggregation query results, otherwise you can already use the DAX feature of dynamoDB and D because you can increase the number of Read Units to increase the performance

upvoted 1 times

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gilleep_17

1 year, 5 months ago

I will go For B and D, E is not good option according to me because its automatic in Dynamodb

upvoted 1 times

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gilleep_17

1 year, 5 months ago

I am not sure with two options A and C . But B is for sure

upvoted 1 times

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AsmaZoheb

1 year, 5 months ago

Selected Answer: B

B and D

upvoted 1 times

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Quang_Nguyen

1 year, 5 months ago

Selected Answer: A

Go with A and B A. Create an Amazon ElastiCache cluster. Configure the application to cache data in the cluster. ElastiCache Advantages: ElastiCache provides a managed in-memory cache service, often used with Redis or Memcached. It can store frequently accessed data, reducing the need to query DynamoDB directly and improving read performance. B. Create a DynamoDB Accelerator (DAX) cluster. Configure the application to use the DAX cluster for DynamoDB requests. DAX Benefits: DAX is an in-memory cache that sits between the application and DynamoDB. It can significantly reduce read latency and improve throughput for frequently accessed items, offering up to 10x performance improvement.

upvoted 2 times

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a_win

1 year, 6 months ago

Selected Answer: B

B and D

upvoted 1 times

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AWSdeveloper08

1 year, 11 months ago

I would go with AB - Both Options provides caching for the small set of the data which is going to be frequently used For Option D - If entire table is having a high read traffic, then this would have made sense, but keyword here is "small set of table data"

upvoted 3 times

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Yasser001

1 year, 12 months ago

Selected Answer: A

A and B are the accurate.

upvoted 1 times

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