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A company hosts a web application on an on-premises server that processes incoming requests.

A company hosts a web application on an on-premises server that processes incoming requests. Processing time for each request varies from 5 minutes to 20 minutes.

The number of requests is growing. The company wants to move the application to AWS. The company wants to update the architecture to scale automatically.

A.

Convert the application to a microservices architecture that uses containers. Use Amazon Elastic Container Service (Amazon ECS) with the AWS Fargate launch type to run the containerized web application. Configure Service Auto Scaling. Use an Application Load Balancer to distribute incoming requests.

B.

Create an Amazon EC2 instance that has sufficient CPU and RAM capacity to run the application. Create metrics to track usage. Create alarms to notify the company when usage exceeds a specified threshold. Replace the EC2 instance with a larger instance size in the same family when usage is too high.

C.

Refactor the web application to use multiple AWS Lambda functions. Use an Amazon API Gateway REST API as an entry point to the Lambda functions.

D.

Refactor the web application to use a single AWS Lambda function. Use an Amazon API Gateway HTTP API as an entry point to the Lambda function.

Amazon Web Services SAA-C03 Summary

  • Vendor: Amazon Web Services
  • Product: SAA-C03
  • Update on: Feb 16, 2026
  • Questions: 649
Price: $52.5  $149.99
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