A development team s Deploying new APIs as serverless applications within a company. The team is currently using the AWS Maragement Console to provision Amazon API Gateway. AWS Lambda, and Amazon DynamoDB resources A solutions architect has been tasked with automating the future deployments of these serveriess APIs. How can this be accomplished?

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B. Use the AWS Serverless Application Model to define the resources. The AWS Serverless Application Model (SAM) is an open-source framework specifically designed to simplify the definition and deployment of serverless applications, including Amazon API Gateway, AWS Lambda functions, and Amazon DynamoDB tables, making it the most direct and efficient solution for automating their deployments.

Answer

A. Use AWS CloudFonTiation with a Lambda-backed custom resource to provision API Gateway. While AWS CloudFormation can define resources, using Lambda-backed custom resources for standard serverless components like API Gateway, Lambda, and DynamoDB is unnecessarily complex, as SAM (which builds on CloudFormation) provides direct support.

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C. Use AWS CloudFormation to define the serverless application. AWS CloudFormation can define serverless resources, but the AWS Serverless Application Model (SAM) offers a more concise, opinionated, and specialized syntax specifically for serverless applications, simplifying their definition and deployment compared to raw CloudFormation.

Answer

D. Commit the application code to the AWS CodeCommit code repository. AWS CodeCommit is a source control service for storing application code and infrastructure definitions, but it does not define how resources are provisioned or automate the deployment process itself.

A development team s Deploying new APIs as serverless applications within a company. The team is currently using the AWS Maragement Console to provision Amazon API Gateway. AWS Lambda, and Amazon…

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