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A company uses a service to collect metadata from applications that the company hosts on premises. Consumer devices such as TVs and internet radios access the applications. Many older devices do not support certain HTTP headers and exhibit errors when these headers are present in responses. The company has configured an on-premises load balancer to remove the unsupported headers from responses sent to older devices, which the company identified by the User-Agent headers. The company wants to migrate the service to AWS, adopt serverless technologies, and retain the ability to support the older devices. The company has already migrated the applications into a set of AWS Lambda functions. Which solution will meet these requirements?
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A company uses AWS Organizations for a multi-account setup in the AWS Cloud. The company's finance team has a data processing application that uses AWS Lambda and Amazon DynamoDB. The company's marketing team wants to access the data that is stored in the DynamoDB table. The DynamoDB table contains confidential data. The marketing team can have access to only specific attributes of data in the DynamoDB table. The fi-nance team and the marketing team have separate AWS accounts. What should a solutions architect do to provide the marketing team with the appropriate access to the DynamoDB table?
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Question 448 - SAP-C02 discussion

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A startup company recently migrated a large ecommerce website to AWS The website has experienced a 70% increase in sates Software engineers are using a private GitHub repository to manage code The DevOps team is using Jenkins for builds and unit testing The engineers need to receive notifications for bad builds and zero downtime during deployments The engineers also need to ensure any changes to production are seamless for users and can be rolled back in the event of a major issue

The software engineers have decided to use AWS CodePipeline to manage their build and deployment process

Which solution will meet these requirements'?

A.
Use GitHub websockets to trigger the CodePipeline pipeline Use the Jenkins plugin for AWS CodeBuild to conduct unit testing Send alerts to an Amazon SNS topic for any bad builds Deploy in an in-place all-at-once deployment configuration using AWS CodeDeploy
Answers
A.
Use GitHub websockets to trigger the CodePipeline pipeline Use the Jenkins plugin for AWS CodeBuild to conduct unit testing Send alerts to an Amazon SNS topic for any bad builds Deploy in an in-place all-at-once deployment configuration using AWS CodeDeploy
B.
Use GitHub webhooks to trigger the CodePipelme pipeline Use the Jenkins plugin for AWS CodeBuild to conduct unit testing Send alerts to an Amazon SNS topic for any bad builds Deploy in a blue'green deployment using AWS CodeDeploy
Answers
B.
Use GitHub webhooks to trigger the CodePipelme pipeline Use the Jenkins plugin for AWS CodeBuild to conduct unit testing Send alerts to an Amazon SNS topic for any bad builds Deploy in a blue'green deployment using AWS CodeDeploy
C.
Use GitHub websockets to trigger the CodePipelme pipeline. Use AWS X-Ray for unit testing and static code analysis Send alerts to an Amazon SNS topic for any bad builds Deploy in a blue/green deployment using AWS CodeDeploy.
Answers
C.
Use GitHub websockets to trigger the CodePipelme pipeline. Use AWS X-Ray for unit testing and static code analysis Send alerts to an Amazon SNS topic for any bad builds Deploy in a blue/green deployment using AWS CodeDeploy.
D.
Use GitHub webhooks to trigger the CodePipeline pipeline Use AWS X-Ray for unit testing and static code analysis Send alerts to an Amazon SNS topic for any bad builds Deploy in an m-place. all-at-once deployment configuration using AWS CodeDeploy
Answers
D.
Use GitHub webhooks to trigger the CodePipeline pipeline Use AWS X-Ray for unit testing and static code analysis Send alerts to an Amazon SNS topic for any bad builds Deploy in an m-place. all-at-once deployment configuration using AWS CodeDeploy
Suggested answer: B

Explanation:

GitHub Webhooks to Trigger CodePipeline:

Configure GitHub webhooks to trigger the AWS CodePipeline pipeline. This ensures that every code push to the repository automatically triggers the pipeline, initiating the build and deployment process.

Unit Testing with Jenkins and AWS CodeBuild:

Use Jenkins integrated with the AWS CodeBuild plugin to perform unit testing. Jenkins will manage the build process, and the results will be handled by CodeBuild.

Notifications for Bad Builds:

Configure Amazon SNS (Simple Notification Service) to send alerts for any failed builds. This keeps the engineering team informed of build issues immediately, allowing for quick resolutions.

Blue/Green Deployment with AWS CodeDeploy:

Utilize AWS CodeDeploy with a blue/green deployment strategy. This method reduces downtime and risk by running two identical production environments (blue and green). CodeDeploy shifts traffic between these environments, allowing you to test in the new environment (green) while the old environment (blue) remains live. If issues arise, you can quickly roll back to the previous environment.

This solution provides seamless, zero-downtime deployments, and the ability to quickly roll back changes if necessary, fulfilling the requirements of the startup company.

Reference

AWS DevOps Blog on Integrating Jenkins with AWS CodeBuild and CodeDeploy32.

Plain English Guide to AWS CodePipeline with GitHub33.

Jenkins Plugin for AWS CodePipeline34.

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asked 16/09/2024
Ivan Mazala
43 questions
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