Topic 1 Question 262
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 runs for several hours.
Which is the MOST cost-effective solution?
Deploy a separate AWS Lambda function for each application. Use AWS CloudTrail logs and Amazon CloudWatch alarms to verify completion of critical jobs.
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.
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.
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.
ユーザの投票
コメント(11)
- 正解だと思う選択肢: B
Hours = lambda out Reserve instance max size = D out C: beanstalk still use EC2, if beanstalk = each application, it could be each app get its own EC2, which will cost more than the ECS on EC2 in B. So B is cheaper
👍 12nexus20202023/06/25 - 正解だと思う選択肢: B
Many of you have already explain the reasons why other options are not a good fit. but i will explain optionD bit further. D-> Wrong Not only for using Custom Metric but Co-hosting all applications on a single EC2 instance cluster means that the resources (CPU, memory, storage) of the instances would need to be shared among all the applications. This lead to resource contention and inefficient resource allocation, especially when some applications have peak memory requirements of up to 2.5 GB. It may result in underutilization of resources for applications with low usage and performance issues during peak processing times.
👍 2yorkicurke2023/10/23 - 正解だと思う選択肢: B
Correct Answer is B
👍 1psyx212023/06/21
シャッフルモード