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Total 392 questions

AWS Certified DevOps Engineer - Professional Questions and Answers

Question 5

A company's application uses a fleet of Amazon EC2 On-Demand Instances to analyze and process data. The EC2 instances are in an Auto Scaling group. The Auto Scaling group is a target group for an Application Load Balancer (ALB). The application analyzes critical data that cannot tolerate interruption. The application also analyzes noncritical data that can withstand interruption.

The critical data analysis requires quick scalability in response to real-time application demand. The noncritical data analysis involves memory consumption. A DevOps engineer must implement a solution that reduces scale-out latency for the critical data. The solution also must process the noncritical data.

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

Options:

A.

For the critical data, modify the existing Auto Scaling group. Create a warm pool instance in the stopped state. Define the warm pool size. Create a new version of the launch template that has detailed monitoring enabled. use Spot Instances.

B.

For the critical data, modify the existing Auto Scaling group. Create a warm pool instance in the stopped state. Define the warm pool size. Create a new version of the launch template that has detailed monitoring enabled. Use On-Demand Instances.

C.

For the critical data. modify the existing Auto Scaling group. Create a lifecycle hook to ensure that bootstrap scripts are completed successfully. Ensure that the application on the instances is ready to accept traffic before the instances are registered. Create a new version of the launch template that has detailed monitoring enabled.

D.

For the noncritical data, create a second Auto Scaling group that uses a launch template. Configure the launch template to install the unified Amazon CloudWatch agent and to configure the CloudWatch agent with a custom memory utilization metric. Use Spot Instances. Add the new Auto Scaling group as the target group for the ALB. Modify the application to use two target groups for critical data and noncritical data.

E.

For the noncritical data, create a second Auto Scaling group. Choose the predefined memory utilization metric type for the target tracking scaling policy. Use Spot Instances. Add the new Auto Scaling group as the target group for the ALB. Modify the application to use two target groups for critical data and noncritical data.

Question 6

A DevOps engineer needs to configure an AWS CodePipeline pipeline that publishes container images to an Amazon ECR repository. The pipeline must wait for the previous run to finish and must run when new Git tags are pushed to a Git repository connected to AWS CodeConnections. An existing deployment pipeline must run in response to new container image publications.

Which solution will meet these requirements?

Options:

A.

Configure a CodePipeline V2 type pipeline that uses QUEUED mode. Add a trigger filter to the pipeline definition that includes all tags. Configure an EventBridge rule that matches container image pushes to start the existing deployment pipeline.

B.

Configure a CodePipeline V2 type pipeline that uses SUPERSEDED mode. Add a trigger filter to the pipeline definition that includes all branches. Configure an EventBridge rule that matches container image pushes to start the existing deployment pipeline.

C.

Configure a CodePipeline V1 type pipeline that uses SUPERSEDED mode. Add a trigger filter to the pipeline definition that includes all tags. Add a stage at the end of the pipeline to invoke the existing deployment pipeline.

D.

Configure a CodePipeline V1 type pipeline that uses QUEUED mode. Add a trigger filter to the pipeline definition that includes all branches. Add a stage at the end of the pipeline to invoke the existing deployment pipeline.

Question 7

A company uses an organization in AWS Organizations to manage its AWS accounts. The company's DevOps team has developed an AWS Lambda function that calls the Organizations API to create new AWS accounts.

The Lambda function runs in the organization's management account. The DevOps team needs to move the Lambda function from the management account to a dedicated AWS account. The DevOps team must ensure that the Lambda function has the ability to create new AWS accounts only in Organizations before the team deploys the Lambda function to the new account.

Which solution will meet these requirements?

Options:

A.

In the management account, create a new IAM role that has the necessary permission to create new accounts in Organizations. Allow the role to be assumed by the Lambda execution role in the new AWS account. Update the Lambda function code to assume the role when the Lambda function creates new AWS accounts. Update the Lambda execution role to ensure that it has permission to assume the new role.

B.

In the management account, turn on delegated administration for Organizations. Create a new delegation policy that grants the new AWS account permission to create new AWS accounts in Organizations. Ensure that the Lambda execution role has the organizations:CreateAccount permission.

C.

In the management account, create a new IAM role that has the necessary permission to create new accounts in Organizations. Allow the role to be assumed by the Lambda service principal. Update the Lambda function code to assume the role when the Lambda function creates new AWS accounts. Update the Lambda execution role to ensure that it has permission to assume the new role.

D.

In the management account, enable AWS Control Tower. Turn on delegated administration for AWS Control Tower. Create a resource policy that allows the new AWS account to create new AWS accounts in AWS Control Tower. Update the Lambda function code to use the AWS Control Tower API in the new AWS account. Ensure that the Lambda execution role has the controltower:CreateManagedAccount permission.

Question 8

A DevOps engineer is deploying a new version of a company's application in an AWS CodeDeploy deployment group associated with its Amazon EC2 instances. After some time, the deployment fails. The engineer realizes that all the events associated with the specific deployment ID are in a Skipped status and code was not deployed in the instances associated with the deployment group.

What are valid reasons for this failure? (Select TWO.).

Options:

A.

The networking configuration does not allow the EC2 instances to reach the internet via a NAT gateway or internet gateway and the CodeDeploy endpoint cannot be reached.

B.

The IAM user who triggered the application deployment does not have permission to interact with the CodeDeploy endpoint.

C.

The target EC2 instances were not properly registered with the CodeDeploy endpoint.

D.

An instance profile with proper permissions was not attached to the target EC2 instances.

E.

The appspec. yml file was not included in the application revision.

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Total 392 questions