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Exam AWS DevOps Engineer Professional All Questions

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Exam AWS DevOps Engineer Professional topic 1 question 180 discussion

Exam question from Amazon's AWS DevOps Engineer Professional
Question #: 180
Topic #: 1
[All AWS DevOps Engineer Professional Questions]

A company is using an Amazon API Gateway API and an AWS Lambda function to host a microservice. The microservice accesses pricing data in an Amazon DynamoDB table for the company’s online store.

Interest in the online store has increased. As a result, latency issues and throttling on the DynamoDB table are occurring when a specific query runs. Some internal services access the DynamoDB table directly. No caching is enabled for the current solution.

A DevOps engineer notices that repeat requests to the API are taking the same amount of time as unique requests. The DevOps engineer must reduce the latency for the repeat requests to the API and must reduce the throttling on the DynamoDB table.

Which solution will meet these requirements?

  • A. Enable caching for API Gateway stages. Use DynamoDB Accelerator (DAX) for the DynamoDB table.
  • B. Enable caching tor API Gateway stages. Use Amazon ElastiCache for Memcached caching for the DynamoDB table.
  • C. Use provisioned concurrency for the Lambda function. Use DynamoDB Accelerator (DAX) for the DynamoDB table.
  • D. Use provisioned concurrency for the Lambda function. Increase the RCUs for the DynamoDB table.
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Suggested Answer: A 🗳️

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ParagSanyashiv
2 years ago
Selected Answer: A
A is more suitable as combination of API Gateway Caching and DAX is reliable for throttling and repeat request on DB.
upvoted 1 times
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kiiw
2 years, 2 months ago
Selected Answer: A
DAX is recomended against memcached
upvoted 1 times
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CloudFloater
2 years, 2 months ago
Selected Answer: A
API GATEWAY CACHE/DAX combo good for caching/repeat requests and db throttling issue
upvoted 3 times
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saeidp
2 years, 2 months ago
Selected Answer: A
dynamodb DAX and api gateway caching
upvoted 3 times
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ds50421
2 years, 2 months ago
Selected Answer: A
Answer is A . Enable caching for API Gateway stages. Use DynamoDB Accelerator (DAX) for the DynamoDB table. Amazon DynamoDB Accelerator (DAX) is a fully managed, highly available, in-memory cache for Amazon DynamoDB that delivers up to a 10 times performance improvement—from milliseconds to microseconds—even at millions of requests per second
upvoted 3 times
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ds50421
2 years, 2 months ago
Answer is A . Enable caching for API Gateway stages. Use DynamoDB Accelerator (DAX) for the DynamoDB table. Amazon DynamoDB Accelerator (DAX) is a fully managed, highly available, in-memory cache for Amazon DynamoDB that delivers up to a 10 times performance improvement—from milliseconds to microseconds—even at millions of requests per second
upvoted 2 times
...
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C (25%)
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