Free Amazon DOP-C02 Exam Questions

Question 1

A company updated the AWS CloudFormation template for a critical business application. The stack update process failed due to an error in the updated template, and AWS CloudFormation automatically began the stack rollback process. Later, a DevOps engineer discovered that the application was still unavailable and that the stack was in the UPDATE_ROLLBACK_FAILED state.

Which combination of actions should the DevOps engineer perform so that the stack rollback can complete successfully? (Choose two.)

A : tach the AWSCloudFormationFullAccess IAM policy to the AWS CloudFormation role.

B : tomatically recover the stack resources by using AWS CloudFormation drift detection.

C : ue a ContinueUpdateRollback command from the AWS CloudFormation console or the AWS CLI.

D : nually adjust the resources to match the expectations of the stack.

E : date the existing AWS CloudFormation stack by using the original template.

Answer: C,D

Question 2

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:

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?

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.

Answer: C

Question 3

A company is building a web and mobile application that uses a serverless architecture powered by AWS Lambda and Amazon API Gateway. The company wants to fully automate the backend Lambda deployment based on code that is pushed to the appropriate environment branch in an AWS CodeCommit repository.

The deployment must have the following:

• Separate environment pipelines for testing and production

• Automatic deployment that occurs for test environments only

Which steps should be taken to meet these requirements?

A : Configure a new AWS CodePipeline service. Create a CodeCommit repository for each environment. Set up CodePipeline to retrieve the source code from the appropriate repository. Set up the deployment step to deploy the Lambda functions with AWS CloudFormation.

B : Create two AWS CodePipeline configurations for test and production environments. Configure the production pipeline to have a manual approval step. Create a CodeCommit repository for each environment. Set up each CodePipeline to retrieve the source code from the appropriate repository. Set up the deployment step to deploy the Lambda functions with AWS CloudFormation.

C : Create two AWS CodePipeline configurations for test and production environments. Configure the production pipeline to have a manual approval step. Create one CodeCommit repository with a branch for each environment. Set up each CodePipeline to retrieve the source code from the appropriate branch in the repository. Set up the deployment step to deploy the Lambda functions with AWS CloudFormation

D : Create an AWS CodeBuild configuration for test and production environments. Configure the production pipeline to have a manual approval step. Create one CodeCommit repository with a branch for each environment. Push the Lambda function code to an Amazon S3 bucket. Set up the deployment step to deploy the Lambda functions from the S3 bucket.

Answer: C

Question 4

A company is developing a serverless application that uses AWS Lambda, AWS SAM, and Amazon API Gateway. There is a requirement to fully automate the backend Lambda deployment in such a way that the deployment will automatically run whenever a new commit is pushed to an AWS CodeCommit repository. There should also be a separate environment pipeline for TEST and PROD environments. In addition, the TEST environment should be the only one that allows automatic deployment.

As a DevOps Engineer, who can you satisfy these requirements?

A : t up two pipelines using AWS CodePipeline for TEST and PROD environments. On both pipelines, set up a manual approval step for application deployment. Set up separate CodeCommit repositories for each environment and configure each pipeline to retrieve the source code from CodeCommit. Deploy the Lambda functions with AWS CloudFormation by setting up a deployment step in the pipeline.

B : t up two pipelines using AWS CodePipeline for TEST and PROD environments. Configure the PROD pipeline to have a manual approval step. Create a CodeCommit repository with a branch for each environment and configure the pipeline to retrieve the source code from CodeCommit according to its branch. Deploy the Lambda functions with AWS CloudFormation by setting up a deployment step in the pipeline.

C : t up two pipelines using AWS CodePipeline for TEST and PROD environments. In the PROD pipeline, set up a manual approval step for application deployment. Set up separate CodeCommit repositories for each environment and configure each pipeline to retrieve the source code from CodeCommit. Deploy the Lambda functions with AWS CloudFormation by setting up a deployment step in the pipeline.

D : eate a new pipeline using AWS CodePipeline and a new CodeCommit repository for each environment. Configure CodePipeline to retrieve the application source code from the appropriate repository. Deploy the Lambda functions with AWS CloudFormation by creating a deployment step in the pipeline.

Answer: B

Question 5

A company has an application that runs on Amazon EC2 instances that are in an Auto Scaling group. When the application starts up. the application needs to process data from an Amazon S3 bucket before the application can start to serve requests.

The size of the data that is stored in the S3 bucket is growing. When the Auto Scaling group adds new instances, the application now takes several minutes to download and process the data before the application can serve requests. The company must reduce the time that elapses before new EC2 instances are ready to serve requests.

Which solution is the MOST cost-effective way to reduce the application startup time?

A : nfigure a warm pool for the Auto Scaling group with warmed EC2 instances in the Stopped state. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook when the application is ready to serve requests.

B : crease the maximum instance count of the Auto Scaling group. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook when the application is ready to serve requests.

C : nfigure a warm pool for the Auto Scaling group with warmed EC2 instances in the Running state. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook when the application is ready to serve requests.

D : crease the maximum instance count of the Auto Scaling group. Configure an autoscaling:EC2_INSTANCE_LAUNCHING lifecycle hook on the Auto Scaling group. Modify the application to complete the lifecycle hook and to place the new instance in the Standby state when the application is ready to serve requests.

Answer: C