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Exam AWS Certified Solutions Architect - Professional All Questions

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Exam AWS Certified Solutions Architect - Professional topic 1 question 958 discussion

A company is running an application in the AWS Cloud. The application uses AWS Lambda functions and Amazon Elastic Container Service (Amazon ECS) containers that run with AWS Fargate technology as its primary compute. The load on the application is irregular. The application experiences long periods of no usage, followed by sudden and significant increases and decreases in traffic. The application is write-heavy and stores data in an Amazon Aurora MySQL database. The database runs on an Amazon RDS memory optimized DB instance that is not able to handle the load.

What is the MOST cost-effective way for the company to handle the sudden and significant changes in traffic?

  • A. Add additional read replicas to the database. Purchase Instance Savings Plans and RDS Reserved Instances.
  • B. Migrate the database to an Aurora multi-master DB cluster. Purchase Instance Savings Plans.
  • C. Migrate the database to an Aurora global database. Purchase Compute Savings Plans and RDS Reserved Instances.
  • D. Migrate the database to Aurora Serverless v1. Purchase Compute Savings Plans.
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Suggested Answer: D 🗳️

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WhyIronMan
9 months, 3 weeks ago
Selected Answer: D
D The compute savings plan is not for Aurora Serverless, but for Lambdas and Fargate. Amazon Aurora Serverless automatically starts up, shuts down, and scales capacity up or down based on your application's needs. The multi master works BUT is Costs more than serverless at the end The multi master have X number of writers (masters) all the time, so you pay on demand capacity during all time, even the long periods of no usage
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3a632a3
1 year, 3 months ago
Selected Answer: D
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/aurora-serverless.html#aurora-serverless-v1.advantages Compute savings plans are for Lambda and Fargate.
upvoted 2 times
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aewis
1 year, 4 months ago
B Aurora Serverless doesn't support reservations
upvoted 1 times
marszalekm
1 year, 3 months ago
Of course it doesn't, but Fargate and Lambda does. Aurora Serverless actually is very good for handling spikes.
upvoted 1 times
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rsn
1 year, 8 months ago
Selected Answer: B
Write operations are the issue here. So we need a multi master database to handle the write voluments. Compute savings plan will address the cost factor
upvoted 2 times
rsn
1 year, 8 months ago
https://aws.amazon.com/about-aws/whats-new/2019/08/amazon-aurora-multimaster-now-generally-available/
upvoted 1 times
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dev112233xx
2 years ago
Selected Answer: A
A sounds better.. Also Aurora serverless is not included in the Compute Savings Plans discount
upvoted 1 times
vn_thanhtung
1 year, 8 months ago
The application is write-heavy and stores data in an Amazon Aurora MySQL database, add read replica , stupid
upvoted 1 times
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zozza2023
2 years, 3 months ago
Selected Answer: D
i go for D also
upvoted 2 times
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Kende
2 years, 4 months ago
Agree with D.
upvoted 2 times
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ggrodskiy
2 years, 4 months ago
Correct D
upvoted 4 times
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masetromain
2 years, 5 months ago
Selected Answer: D
In the real world I would have answered answer C. But when i read the description of Aurora Serverless v1 which is an amazon product I think the answer is D Amazon Aurora Serverless v1 (Amazon Aurora Serverless version 1) is an on-demand autoscaling configuration for Amazon Aurora. An Aurora Serverless v1 DB cluster is a DB cluster that scales compute capacity up and down based on your application's needs. This contrasts with Aurora provisioned DB clusters, for which you manually manage capacity. Aurora Serverless v1 provides a relatively simple, cost-effective option for infrequent, intermittent, or unpredictable workloads. It is cost-effective because it automatically starts up, scales compute capacity to match your application's usage, and shuts down when it's not in use. https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/aurora-serverless.html
upvoted 2 times
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C (25%)
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