Exam AWS Certified Solutions Architect - Professional SAP-C02 topic 1 question 19 discussion

AWS Serverless Application Model (SAM) is a framework that helps you build, test and deploy your serverless applications. It uses CloudFormation under the hood, so it is a way to simplify the process of creating, updating, and deploying CloudFormation templates. CodeDeploy is a service that automates code deployments to any instance, including on-premises instances and Lambda functions. With AWS SAM you can use the built-in CodeDeploy to deploy new versions of the Lambda function, gradually shift traffic to the new version, and use pre-traffic and post-traffic test functions to verify code. You can also define CloudWatch Alarms to trigger a rollback in case of any issues. This allows for a faster and more efficient deployment process, as well as a more reliable rollback process when errors are identified. This way you can increase the speed of deployment and reduce the time to detect and revert when errors are identified.

keywords: 'Code deployment, reduce deployment time, rollback, serverless' = AWS Serverless Application Model, AWS CodeDeploy

https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/automating-updates-to-serverless-apps.html AWS Serverless Application Model (AWS SAM) comes built-in with CodeDeploy to provide gradual AWS Lambda deployments. With just a few lines of configuration, AWS SAM does the following for you: Deploys new versions of your Lambda function, and automatically creates aliases that point to the new version. Gradually shifts customer traffic to the new version until you're satisfied that it's working as expected. If an update doesn't work correctly, you can roll back the changes. Defines pre-traffic and post-traffic test functions to verify that the newly deployed code is configured correctly and that your application operates as expected. Automatically rolls back the deployment if CloudWatch alarms are triggered.

Option A - This work will allow reverting to previous versions of the Lambda functions but reverting means all functions will be reverted. This does not minimize the the time needed to detect and revert errors. Option B - This option minimizes the time needed to deploy functions and detect and revert errors: As each function is deployed it can be tested and reverted individually. Moreover, the option provides a straightforward mechanism to detect and revert errors: Detect errors in CloudWatch, fix the functions' code in SAM, redeploy with AWS CodeDeploy. Option C - This option does not minimize the time needed to detect and revert errors. It only automates the current process. Option D - This option does not minimize the time needed to detect and revert errors: It takes time for CloudFormation to switch origins and nothing has been done to about the current process for deploying and testing functions.

https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/automating-updates-to-serverless-apps.html Pretty much what the question wants

B. Use AWS SAM and built-in AWS CodeDeploy to deploy the new Lambda version, gradually shift traffic to the new version, and use pre-traffic and post-traffic test functions to verify code. Rollback if Amazon CloudWatch alarms are triggered.

why not a？

B, use SAM to deploy serverless applications on aws

Answer B. Use SAM and Codedeploy. Revert if any errors to the previous version.

obvious

requirmeents : decrease the time to deploy new versions of the application logic provided by the Lambda functions, revert when erros identified

B no do0ubt

100% B

B solve the problem which is causing in the current scenario

Definitile B https://docs.aws.amazon.com/es_es/serverless-application-model/latest/developerguide/automating-updates-to-serverless-apps.html

Use AWS SAM and built-in AWS CodeDeploy

AWS Serverless Application Model (SAM)