By migrating the script to AWS Lambda, the company can take advantage of the auto-scaling feature of the service. AWS Lambda will automatically scale resources to match the size of the workload. This means that the company will not have to worry about provisioning or managing instances as the number of messages increases, resulting in lower operational costs

The key points are: Currently using an EC2 instance to poll SQS and process messages Want to reduce costs while handling growing message volume By migrating the polling script to a Lambda function, the company can avoid the cost of running a dedicated EC2 instance. Lambda functions scale automatically to handle message spikes. And Lambda billing is based on actual usage, resulting in cost savings versus provisioned EC2 capacity.

reduce operational costs = serverless = Lambda functions

Lambda costs money only when it's processing, not when idle

Agree with C

the answer is C. With this option, you can reduce operational cost as the question mentioned

AWS Lambda is a serverless compute service that allows you to run your code without provisioning or managing servers. By migrating the script to an AWS Lambda function, you can eliminate the need to maintain an EC2 instance, reducing operational costs. Additionally, Lambda automatically scales to handle the increasing number of messages in the SQS queue.

It Should be C. Lambda allows you to execute code without provisioning or managing servers, so it is ideal for running scripts that poll for and process messages in an Amazon SQS queue. The scaling of the Lambda function is automatic, and you only pay for the actual time it takes to process the messages.

To reduce the operational overhead, it should be: D. Use AWS Systems Manager Run Command to run the script on demand.