SAP-C02 · Question #529
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
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Question
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?
Options
- ADeploy a separate AWS Lambda function for each application. Use AWS CloudTrail logs and
- BDeploy Amazon ECS containers on Amazon EC2 with Auto Scaling configured for memory
- CDeploy AWS Elastic Beanstalk for each application with Auto Scaling to ensure that all requests
- DDeploy a new Amazon EC2 instance cluster that co-hosts all applications by using EC2 Auto
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