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Amazon Web Services DOP-C01 Exam Dumps - Valid Questions Answers

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DOP-C01 Questions and Answers

Question # 1

A company runs a three-tier web application in its production environment, which is built on a single AWS CloudFormation template made up of Amazon EC2 instances behind an ELB Application Load Balancer. The instances run in an EC2 Auto Scaling group across multiple Availability Zones. Data is stored in an

Amazon RDS Multi-AZ DB instance with read replicas. Amazon Route 53 manages the application's public DNS record.

A DevOps Engineer must create a workflow to mitigate a failed software deployment by rolling back changes in the production environment when a software cutover occurs for new application software.

What steps should the Engineer perform to meet these requirements with the LEAST amount of downtime?

A.

Use CloudFormation to deploy an additional staging environment and configure the Route 53 DNS with weighted records. During cutover, change the Route 53 A record weights to achieve an even traffic distribution between the two environments. Validate the traffic in the new environment and immediately terminate the old environment if tests are successful.

B.

Use a single AWS Elastic Beanstalk environment to deploy the staging and production environments. Update the environment by uploading the ZIP file with the new application code. Swap the Elastic Beanstalk environment CNAME. Validate the traffic in the new environment and immediately terminate the old environment if tests are successful.

C.

Use a single AWS Elastic Beanstalk environment and an AWS OpsWorks environment to deploy the staging and production environments. Update the environment by uploading the ZIP file with the new application code into the Elastic Beanstalk environment deployed with the OpsWorks stack. Validate the traffic in the new environment and immediately terminate the old environment if tests are successful.

D.

Use AWS CloudFormation to deploy an additional staging environment, and configure the Route 53 DNS with weighted records. During cutover, increase the weight distribution to have more traffic directed to the new staging environment as workloads are successfully validated. Keep the old production environment in place until the new staging environment handles all traffic.

Question # 2

A retail company is currently hosting a Java-based application in its on-premises data center. Management wants the DevOps Engineer to move this application to

AWS. Requirements state that while keeping high availability, infrastructure management should be as simple as possible. Also, during deployments of new application versions, while cost is an important metric, the Engineer needs to ensure that at least half of the fleet is available to handle user traffic.

What option requires the LEAST amount of management overhead to meet these requirements?

A.

Create an AWS CodeDeploy deployment group and associate it with an Auto Scaling group configured to launch instances across subnets in different Availability Zones. Configure an in-place deployment with a CodeDeploy.HalfAtAtime configuration for application deployments.

B.

Create an AWS Elastic Beanstalk Java-based environment using Auto Scaling and load balancing. Configure the network setting for the environment to launch instances across subnets in different Availability Zones. Use "Rolling with additional batch" as a deployment strategy with a batch size of 50%.

C.

Create an AWS CodeDeploy deployment group and associate it with an Auto Scaling group configured to launch instances across subnets in different Availability Zones. Configure an in-place deployment with a custom deployment configuration with the MinimumHealthyHosts option set to type FLEET_PERCENT and a value of 50.

D.

Create an AWS Elastic Beanstalk Java-based environment using Auto Scaling and load balancing. Configure the network options for the environment to launch instances across subnets in different Availability Zones. Use "Rolling" as a deployment strategy with a batch size of 50%.

Question # 3

A DevOps Engineer at a startup cloud-based gaming company has the task formalizing deployment strategies. The strategies must meet the following requirements:

Use standard Git commands, such as git clone and git push for the code repository.

Management tools should maximize the use of platform solutions where possible.

Deployment packages must be immutable and in the form of Docker images.

How can the Engineer meet these requirements?

A.

Use AWS CodePipeline to trigger a build process when software is pushed to a self-hosted GitHub repository. CodePipeline will use a Jenkins build server to build new Docker images. CodePipeline will deploy into a second target group in Amazon ECS behind an Application Load Balancer. Cutover will be managed by swapping the listener rules on the Application Load Balancer.

B.

Use AWS CodePipeline to trigger a build process when software is pushed to a private GitHub repository. CodePipeline will use AWS CodeBuild to build new Docker images. CodePipeline will deploy into a second target group in Amazon ECS behind an Application Load Balancer. Cutover will be managed by swapping the listener rules on the Application Load Balancer.

C.

Use a Jenkins pipeline to trigger a build process when software is pushed to a private GitHub repository. AWS CodePipeline will use AWS CodeBuild new Docker images. CodePipeline will deploy into a second target group in Amazon ECS behind an Application Load Balancer. Cutover will be managed by swapping the listener rules on the Application Load Balancer.

D.

Use AWS CodePipeline to trigger a build process when software is pushed to an AWS CodeCommit repository CodePipeline will use an AWS CodeBuild build server to build new Docker images. CodePipeline will deploy into a second target group in a Kubernetes Cluster hosted on Amazon EC2 behind an Application Load Balancer. Cutover will be managed by swapping the listener rules on the Application Load Balancer.

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