Exam AWS Certified Solutions Architect - Professional topic 1 question 539 discussion

Exam question from Amazon's AWS Certified Solutions Architect - Professional

Question #: 539
Topic #: 1

[All AWS Certified Solutions Architect - Professional Questions]

A company wants to manage the costs associated with a group of 20 applications that are infrequently used, but are still business-critical, by migrating to AWS.
The applications are a mix of Java and Node.js spread across different instance clusters. The company wants to minimize costs while standardizing by using a single deployment methodology. Most of the applications are part of month-end processing routines with a small number of concurrent users, but they are occasionally run at other times. Average application memory consumption is less than 1 GB, though some applications use as much as 2.5 GB of memory during peak processing. The most important application in the group is a billing report written in Java that accesses multiple data sources and often for several hours.
Which is the MOST cost-effective solution?

A. Deploy a separate AWS Lambda function for each application. Use AWS CloudTrail logs and Amazon CloudWatch alarms to verify completion of critical jobs.
B. Deploy Amazon ECS containers on Amazon EC2 with Auto Scaling configured for memory utilization of 75%. Deploy an ECS task for each application being migrated with ECS task scaling. Monitor services and hosts by using Amazon CloudWatch.
C. Deploy AWS Elastic Beanstalk for each application with Auto Scaling to ensure that all requests have sufficient resources. Monitor each AWS Elastic Beanstalk deployment by using CloudWatch alarms.
D. Deploy a new Amazon EC2 instance cluster that co-hosts all applications by using EC2 Auto Scaling and Application Load Balancers. Scale cluster size based on a custom metric set on instance memory utilization. Purchase 3-year Reserved Instance reservations equal to the GroupMaxSize parameter of the Auto Scaling group.

Show Suggested Answer

Suggested Answer: B 🗳️

by blckshadoq at March 16, 2020, 11:56 a.m.

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meenu2225

Highly Voted 3 years, 8 months ago

I will go with B, B makes more sense out of the others. All of these apps are begging to be containerised :)

upvoted 23 times

kirrim

3 years, 7 months ago

Agree, ECS is the most cost-effective answer up there. Lambda would be great except that reporting app that runs for 2 hrs, which is a no go for Lambda with a max execution time of 900 seconds (15 mins): https://docs.aws.amazon.com/whitepapers/latest/serverless-architectures-lambda/timeout.html Side note: It's not an available choice, but I'd argue that since these apps are only sporadically used, Fargate would likely be even more cost effective than EC2-based ECS: https://aws.amazon.com/blogs/containers/theoretical-cost-optimization-by-amazon-ecs-launch-type-fargate-vs-ec2/

upvoted 2 times

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maxh8086

Most Recent 2 years, 5 months ago

https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/AWSHowTo.cloudwatch.html Elastic Beanstalk automatically uses Amazon CloudWatch to help you monitor your application and environment status. You can navigate to the Amazon CloudWatch console to see your dashboard and get an overview of all of your resources as well as your alarms. You can also choose to view more metrics or add custom metrics. any other options do not have memory base scaling without cloudwatch agent

upvoted 1 times

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3 years, 7 months ago

Why not use the Lambda? The question has the follwing keywords 1. Node.js and Java 2. Infrequent Usage and memory requirement is max 2.5 GB 3. Less concurrency 4. Need Cost-effective solution

upvoted 1 times

StanM

3 years, 7 months ago

because one of the applications can run up to several hours while lambda can run only up to 15 mins. We could think of making an exception for this application and run everything else as lambda, but the question insists on standardizing.

upvoted 8 times

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