SAA-C03 · Question #327
A company runs a monolithic application in its on-premises data center. The company used Java/Tomcat to build the application. The application uses Microsoft SQL Server as a database. The company…
The correct answer is A. Use AWS App2Container to containerize the application. Deploy the application on Amazon. AWS App2Container is a command-line tool that helps containerize existing Java and .NET applications running on-premises or on virtual machines, with minimal refactoring. By using Amazon EKS, the company benefits from a managed Kubernetes service, which significantly reduces…
Question
A company runs a monolithic application in its on-premises data center. The company used Java/Tomcat to build the application. The application uses Microsoft SQL Server as a database. The company wants to migrate the application to AWS. Which solution will meet this requirement with the LEAST operational overhead?
Options
- AUse AWS App2Container to containerize the application. Deploy the application on Amazon
- BContainerize the application and deploy the application on a self-managed Kubernetes cluster on
- CDeploy the frontend of the web application as a website on Amazon S3. Use Amazon DynamoDB
- DUse AWS App2Container to containerize the application. Deploy the application on Amazon
How the community answered
(68 responses)- A79% (54)
- B12% (8)
- C3% (2)
- D6% (4)
Explanation
AWS App2Container is a command-line tool that helps containerize existing Java and .NET applications running on-premises or on virtual machines, with minimal refactoring. By using Amazon EKS, the company benefits from a managed Kubernetes service, which significantly reduces the operational overhead compared to managing Kubernetes on EC2. Amazon RDS for SQL Server provides a fully managed SQL Server database engine with automated backups, patching, and high availability through Multi-AZ deployments. This eliminates the need for the company to manage database infrastructure and software manually. Overall, option A provides the most streamlined and managed approach for both the application and database layers with the least operational effort.
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