| Exam Name: | AWS Certified DevOps Engineer - Professional | ||
| Exam Code: | DOP-C02 Dumps | ||
| Vendor: | Amazon Web Services | Certification: | AWS Certified Professional |
| Questions: | 449 Q&A's | Shared By: | ari |
A DevOps engineer is implementing governance controls for a company that requires its infrastructure to be housed within the United States. The engineer must restrict which AWS Regions can be used, and ensure an alert is sent as soon as possible if any activity outside the governance policy takes place. The controls should be automatically enabled on any new Region outside the United States (US).
Which combination of actions will meet these requirements? (Select TWO.)
A company runs an Amazon EKS cluster and must implement comprehensive logging for the control plane and nodes. The company must analyze API requests and monitor container performance.
Which solution will meet these requirements with the LEAST operational overhead?
A DevOps engineer has automated a web service deployment by using AWS CodePipeline with the following steps:
1) An AWS CodeBuild project compiles the deployment artifact and runs unit tests.
2) An AWS CodeDeploy deployment group deploys the web service to Amazon EC2 instances in the staging environment.
3) A CodeDeploy deployment group deploys the web service to EC2 instances in the production environment.
The quality assurance (QA) team requests permission to inspect the build artifact before the deployment to the production environment occurs. The QA team wants to run an internal penetration testing tool to conduct manual tests. The tool will be invoked by a REST API call.
Which combination of actions should the DevOps engineer take to fulfill this request? (Choose two.)
A company runs a microservices application on Amazon Elastic Kubernetes Service (Amazon EKS). Users recently reported significant delays while accessing an account summary feature, particularly during peak business hours.
A DevOps engineer used Amazon CloudWatch metrics and logs to troubleshoot the issue. The logs indicated normal CPU and memory utilization on the EKS nodes. The DevOps engineer was not able to identify where the delays occurred within the microservices architecture.
The DevOps engineer needs to increase the observability of the application to pinpoint where the delays are occurring.
Which solution will meet these requirements?