Amazon Web Services pass4success newly Released Dop-c02 Exam Pdf by Theia q15 vce pdf

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Exam Name:	AWS Certified DevOps Engineer - Professional
Exam Code:	DOP-C02 Dumps
Vendor:	Amazon Web Services	Certification:	AWS Certified Professional
Questions:	425 Q&A's	Shared By:	theia

Question 104

A company uses a series of individual Amazon Cloud Formation templates to deploy its multi-Region Applications. These templates must be deployed in a specific order. The company is making more changes to the templates than previously expected and wants to deploy new templates more efficiently. Additionally, the data engineering team must be notified of all changes to the templates.

What should the company do to accomplish these goals?

Options:

Create an AWS Lambda function to deploy the Cloud Formation templates m the required order Use stack policies to alert the data engineering team.

Host the Cloud Formation templates in Amazon S3 Use Amazon S3 events to directly trigger CloudFormation updates and Amazon SNS notifications.

Implement CloudFormation StackSets and use drift detection to trigger update alerts to the data engineering team.

Leverage CloudFormation nested stacks and stack sets (or deployments Use Amazon SNS to notify the data engineering team.

Discussion

Question 105

A company is using AWS CodeDeploy to automate software deployment. The deployment must meet these requirements:

• A number of instances must be available to serve traffic during the deployment Traffic must be balanced across those instances, and the instances must automatically heal in the event of failure.

• A new fleet of instances must be launched for deploying a new revision automatically, with no manual provisioning.

• Traffic must be rerouted to the new environment to half of the new instances at a time. The deployment should succeed if traffic is rerouted to at least half of the instances; otherwise, it should fail.

• Before routing traffic to the new fleet of instances, the temporary files generated during the deployment process must be deleted.

• At the end of a successful deployment, the original instances in the deployment group must be deleted immediately to reduce costs.

How can a DevOps engineer meet these requirements?

Options:

Use an Application Load Balancer and an in-place deployment. Associate the Auto Scaling group with the deployment group. Use the Automatically copy Auto Scaling group option. and use CodeDeployDefault.OneAtAtime as the deployment configuration. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the AllowTraffic hook within appspec.yml to delete the temporary files.

Use an Application Load Balancer and a blue/green deployment. Associate the Auto Scaling group and Application Load Balancer target group with the deployment group. Use the Automatically copy Auto Scaling group option, create a custom deployment configuration with minimum healthy hosts defined as 50%. and assign the configuration to the deployment group. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, an

Use an Application Load Balancer and a blue/green deployment. Associate the Auto Scaling group and the Application Load Balancer target group with the deployment group. Use the Automatically copy Auto scaling group option, and use CodeDeployDefault.HalfAtAtime as the deployment configuration. Instruct AWSCodeDeploy to terminate the original instances in the deployment group, and use the BeforeAlIowTraffic hook within appspec.yml to delete t

Use an Application Load Balancer and an in-place deployment. Associate the Auto Scaling group and Application Load Balancer target group with the deployment group. Use the Automatically copy Auto Scaling group option, and use CodeDeployDefaulLAIIatOnce as a deployment configuration. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the BlockTraffic hook within appspec.yml to delete the temporary fi

Discussion

Answer:

Explanation:

Step 1: Use a Blue/Green Deployment StrategyA blue/green deployment strategy is necessary to meet the requirement of launching a new fleet of instances for each deployment and ensuring availability. In a blue/green deployment, the new version (green environment) is deployed to a separate set of instances, while the old version (blue environment) remains active. After testing the new version, traffic can be gradually shifted.

Action: Use AWS CodeDeploy ' s blue/green deployment configuration.

Why: Blue/green deployment minimizes downtime and ensures that traffic is shifted only to healthy instances.

[Reference: AWS documentation on Blue/Green Deployment., Step 2: Use an Application Load Balancer and Auto Scaling GroupThe Application Load Balancer (ALB) is essential to balance traffic across multiple instances, and Auto Scaling ensures the deployment scales automatically to meet demand., Action: Associate the Auto Scaling group and Application Load Balancer target group with the deployment group., Why: This configuration ensures that traffic is evenly distributed and that instances automatically scale based on traffic load., Reference: AWS documentation on Deploying with Auto Scaling and Load Balancing., Step 3: Use Custom Deployment ConfigurationThe company requires that traffic be rerouted to at least half of the instances to succeed. AWS CodeDeploy allows you to configure custom deployment settings with specific thresholds for healthy hosts., Action: Create a custom deployment configuration where 50% of the instances must be healthy., Why: This ensures that the deployment continues only if at least 50% of the new instances are healthy., Reference: AWS documentation on Deployment Configurations., Step 4: Clean Temporary Files Using HooksBefore routing traffic to the new environment, the temporary files generated during the deployment must be deleted. This can be achieved using the BeforeAllowTraffic hook in the appspec.yml file., Action: Use the BeforeAllowTraffic lifecycle event hook to clean up temporary files before routing traffic to the new environment., Why: This ensures that the environment is clean before the new instances start serving traffic., Reference: AWS documentation on AppSpec File Hooks., Step 5: Terminate Original Instances After DeploymentAfter a successful deployment, AWS CodeDeploy can automatically terminate the original instances (blue environment) to save costs., Action: Instruct AWS CodeDeploy to terminate the original instances after the new instances are healthy., Why: This helps in cost reduction by removing unused instances after the deployment., Reference: AWS documentation on Terminate Old Instances., This corresponds to Option C: Use an Application Load Balancer and a blue/green deployment. Associate the Auto Scaling group and the Application Load Balancer target group with the deployment group. Use the Automatically copy Auto Scaling group option, and use CodeDeployDefault.HalfAtATime as the deployment configuration. Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the BeforeAllowTraffic hook within appspec.yml to delete the temporary files., , ]

Question 106

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:

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.

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.

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.

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.

Discussion

Question 107

A company manages environments for its application in multiple AWS accounts. Each environment account is in a different OU in AWS Organizations.

A DevOps team is responsible for the application deployment process across the environments. The deployment process uses an AWS CodePipeline pipeline in a Shared Services account. The DevOps team members are in the same user group. The team members have administrative access to all accounts through AWS IAM Identity Center.

A recent deployment problem in the development environment required the DevOps team to perform manual steps. The deployment to the production environment then resulted in an incident that caused the pipeline to fail, blocking new deployments for several hours.

A DevOps engineer needs to ensure that only the pipeline can perform deployments in the production environment. The DevOps engineer must have access to the environment in case of an emergency.

Which solution will meet these requirements with the MOST operational efficiency?

Options:

Update the DevOps group to have the ReadOnlyAccess permission set for the production accounts. Configure the DevOps engineer user with a new permission set that has AdministratorAccess permissions and that allows the user to assume the pipeline role. Add an SCP that denies modification of resources by any entity other than the pipeline role.

Create an SCP that denies all write actions for the DevOps team members on the production OU. Configure a new user in IAM Identity Center for the DevOps engineer with a new permission set that has AdministratorAccess permissions. Add an SCP that denies modification of resources by any entity other than the pipeline role.

Update the DevOps group to be able to assume the pipeline role for the production accounts. Configure a new user in IAM Identity Center for the DevOps engineer with a new permission set that has AdministratorAccess permissions. Add an SCP that denies modification of resources by any entity other than the DevOps engineer.

Create an SCP that denies all write actions for the DevOps team members on the production OU. Use a specific tag to tag the resources that CodePipeline provisions. Add an SCP that denies modification of tagged resources by any entity other than the DevOps engineer.