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AWS Certified DevOps Engineer - Professional Questions and Answers

Question 1

A company recently migrated its application to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster that uses Amazon EC2 instances. The company configured the application to automatically scale based on CPU utilization.

The application produces memory errors when it experiences heavy loads. The application also does not scale out enough to handle the increased load. The company needs to collect and analyze memory metrics for the application over time.

Which combination of steps will meet these requirements? (Select THREE.)

Options:

Attach the Cloud WatchAgentServer Pol icy managed 1AM policy to the 1AM instance profile that the cluster uses.

Attach the Cloud WatchAgentServer Pol icy managed 1AM policy to a service account role for the cluster.

Collect performance metrics by deploying the unified Amazon CloudWatch agent to the existing EC2 instances in the cluster. Add the agent to the AMI for any new EC2 instances that are added to the cluster.

Collect performance logs by deploying the AWS Distro for OpenTelemetry collector as a DaemonSet.

Analyze the pod_memory_utilization Amazon CloudWatch metric in the Containerlnsights namespace by using the Service dimension.

Analyze the node_memory_utilization Amazon CloudWatch metric in the Containerlnsights namespace by using the ClusterName dimension.

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Answer:

A, C, E

Explanation:

 Step 1: Attaching the CloudWatchAgentServerPolicy to the IAM Role

The CloudWatch agent needs permissions to collect and send metrics, including memory metrics, to Amazon CloudWatch. You can attach the CloudWatchAgentServerPolicy managed IAM policy to the IAM instance profile or service account role to grant these permissions.

Action: Attach the CloudWatchAgentServerPolicy managed IAM policy to the IAM instance profile that the EKS cluster uses.

Why: This ensures the CloudWatch agent has the necessary permissions to collect memory metrics.

[Reference: AWS documentation on CloudWatch Agent Permissions., This corresponds to Option A: Attach the CloudWatchAgentServerPolicy managed IAM policy to the IAM instance profile that the cluster uses.,  Step 2: Deploying the CloudWatch Agent to EC2 InstancesTo collect memory metrics from the EC2 instances running in the EKS cluster, the CloudWatch agent needs to be deployed on these instances. The agent collects system-level metrics, including memory usage., Action: Deploy the unified Amazon CloudWatch agent to the existing EC2 instances in the EKS cluster. Update the Amazon Machine Image (AMI) for future instances to include the CloudWatch agent., Why: The CloudWatch agent allows you to collect detailed memory metrics from the EC2 instances, which is not enabled by default., Reference: AWS documentation on Installing and Configuring the CloudWatch Agent., This corresponds to Option C: Collect performance metrics by deploying the unified Amazon CloudWatch agent to the existing EC2 instances in the cluster. Add the agent to the AMI for any new EC2 instances that are added to the cluster.,  Step 3: Analyzing Memory Metrics Using Container InsightsAfter collecting the memory metrics, you can analyze them using the pod_memory_utilization metric in Amazon CloudWatch Container Insights. This metric provides visibility into the memory usage of the containers (pods) in the EKS cluster., Action: Analyze the pod_memory_utilization CloudWatch metric in the Container Insights namespace by using the Service dimension., Why: This provides detailed insights into memory usage at the container level, which helps diagnose memory-related issues., Reference: AWS documentation on CloudWatch Container Insights., This corresponds to Option E: Analyze the pod_memory_utilization Amazon CloudWatch metric in the Container Insights namespace by using the Service dimension., , , ]

Question 2

A DevOps engineer needs to design a cloud-based solution to standardize deployment artifacts for AWS Cloud deployments and on-premises deployments. There is currently no routing traffic between the on-premises data center and the AWS environment.

The solution must be able to consume downstream packages from public repositories and must be highly available. Data must be encrypted in transit and at rest. The solution must store the deployment artifacts in object storage and deploy the deployment artifacts into Amazon Elastic Container Service (Amazon ECS). The deployment artifacts must be encrypted in transit if the deployment artifacts travel across the public internet.

The DevOps engineer needs to deploy this solution in less than two weeks.

Which solution will meet these requirements?

Options:

Use a third-party software VPN appliance to connect the on-premises data center and AWS. Use AWS CodeArtifact to store the deployment artifacts.

Use an AWS Direct Connect connection and a VPN connection to connect the on-premises data center to AWS. Deploy third-party artifact management software on Amazon EC2 instances.

Use two AWS VPN connections to connect the on-premises data center to AWS. Use AWS CodeArtifact to store the deployment artifacts.

Use parallel AWS Direct Connect connections to connect the on-premises data center to AWS. Deploy third-party artifact management software on Amazon EC2 instances.

Question 3

A company has an AWS account named PipelineAccount. The account manages a pipeline in AWS CodePipeline. The account uses an IAM role named CodePipeline_Service_Role and produces an artifact that is stored in an Amazon S3 bucket. The company uses a customer managed AWS KMS key to encrypt objects in the S3 bucket.

A DevOps engineer wants to configure the pipeline to use an AWS CodeDeploy application in an AWS account named CodeDeployAccount to deploy the produced artifact.

The DevOps engineer updates the KMS key policy to grant the CodeDeployAccount account permission to use the key. The DevOps engineer configures an IAM role named DevOps_Role in the CodeDeployAccount account that has access to the CodeDeploy resources that the pipeline requires. The DevOps engineer updates an Amazon EC2 instance role that operates within the CodeDeployAccount account to allow access to the S3 bucket and the KMS key that is in the PipelineAccount account.

Which additional steps will meet these requirements?

Options:

Update the S3 bucket policy to grant the CodeDeployAccount account access to the S3 bucket. Configure the DevOps_Role IAM role to have an IAM trust policy that allows the PipelineAccount account to assume the role. Update the CodePipeline_Service_Role IAM role to grant permission to assume the DevOps_Role role.

Update the S3 bucket policy to grant the CodeDeployAccount account access to the S3 bucket. Configure the DevOps_Role IAM role to have an IAM trust policy that allows the PipelineAccount account to assume the role. Update the DevOps_Role IAM role to grant permission to assume CodePipeline_Service_Role role.

Update the S3 bucket policy to grant the PipelineAccount account access to the S3 bucket. Configure the DevOps_Role IAM role to have an IAM trust policy that allows the PipelineAccount account to assume the role. Update the CodePipeline_Service_Role IAM to grant permission to assume the DevOps_Role role.

Update the S3 bucket policy to grant the CodeDeployAccount account access to the S3 bucket. Configure the DevOps_Role IAM role to have an IAM trust policy that allows the CodeDeployAccount account to assume the role. Update the CodePipeline_Service_Role IAM role to grant permission to assume the DevOps_Role role.

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