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DOP-C02 Exam Dumps : AWS Certified DevOps Engineer - Professional

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AWS Certified DevOps Engineer - Professional Questions and Answers

Question 1

A company deploys an application to Amazon EC2 instances. The application runs Amazon Linux 2 and uses AWS CodeDeploy. The application has the following file structure for its code repository:

appspec.yml

config/config.txt application/web

The appspec yml file has the following contents in the files section

files:

- source: config/config.txt

destination: /usr/local/src/config.txt

- source: /

destination: /var/www/html

The appspec.yml file has the following contents in the files section:

What will the result be for the deployment of the config.txt file?

Options:

A.

The config.txt file will be deployed to only /var/www/html/config/config txt

B.

The config.txt file will be deployed to /usr/local/src/config.txt and to /var/www/html/config/config txt.

C.

The config.txt file will be deployed to only /usr/local/src/config txt

D.

The config txt file will be deployed to /usr/local/src/config.txt and to /var/www/html/application/web/config txt

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Question 2

A company is implementing a standardized security baseline across its AWS accounts. The accounts are in an organization in AWS Organizations. The company must deploy consistent IAM roles and policies across all existing and future accounts in the organization. Which solution will meet these requirements with the MOST operational efficiency?

Options:

A.

Enable AWS Control Tower in the management account. Configure AWS Control Tower Account Factory customization to deploy the required IAM roles and policies to all accounts.

B.

Activate trusted access for AWS CloudFormation StackSets in Organizations. In the management account, create a stack set that has service-managed permissions to deploy the required IAM roles and policies to all accounts. Enable automatic deployment for the stack set.

C.

In each member account, create IAM roles that have permissions to create and manage resources. In the management account, create an AWS CloudFormation stack set that has self-managed permissions to deploy the required IAM roles and policies to all accounts. Enable automatic deployment for the stack set.

D.

In the management account, create an AWS CodePipeline pipeline. Configure the pipeline to use AWS CloudFormation to automate the deployment of the required IAM roles and policies. Set up cross-account IAM roles to allow CodePipeline to deploy resources in the member accounts.

Question 3

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.