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 company wants to ensure that their EC2 instances are secure. They want to be notified if any new vulnerabilities are discovered on their instances, and they also want an audit trail of all login activities on the instances.
You are developing a mobile quiz app hosted on AWS and you’re using AWS CodeDeploy to deploy the application on your cluster of EC2 instances. There is a hotfix that need to be applied after the scheduled deployment. These are files not included on the current application revision so you uploaded them manually to the target instances. On the next application release, the hotfix files were included on the new revision but your deployment fails so CodeDeploy auto rollbacks to the previous version. However, you have noticed that the hotfix files that you’ve manually added were missing, and the application is not working properly.
Which of the following is the possible cause and how will you prevent it from happening in the future?
A company uses AWS CodePipeline pipelines to automate releases of its application A typical pipeline consists of three stages build, test, and deployment. The company has been using a separate AWS CodeBuild project to run scripts for each stage. However, the company now wants to use AWS CodeDeploy to handle the deployment stage of the pipelines.
The company has packaged the application as an RPM package and must deploy the application to a fleet of Amazon EC2 instances. The EC2 instances are in an EC2 Auto Scaling group and are launched from a common AMI.
Which combination of steps should a DevOps engineer perform to meet these requirements? (Choose two.)
A DevOps engineer is supporting early-stage development for a developer platform running on Amazon EKS.
Recently, the platform has experienced an increased rate of container restart failures. The DevOps engineer
wants diagnostic information to isolate and resolve issues.
Which solution will meet this requirement?