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Amazon DOP-C01 Practice Test - Questions Answers, Page 53

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Question 521

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After a recent audit, a company decided to implement a new disaster recovery strategy for its Amazon S3 data and its MySQL database running on Amazon EC2. Management wants the ability to recover to

Question 522

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A company uses a series of individual Amazon CloudFormation templates to deploy its multi-Region applications. These templates must be deployed in a specific order. The company is making more change

Question 523

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A DevOps Engineer at a startup cloud-based gaming company has the task of formalizing deployment strategies. The strategies must meet the following requirements: Use standard Git commands, such as g

Question 524

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A DevOps Engineer is developing a deployment strategy that will allow for data-driven decisions before a feature is fully approved for general availability. The current deployment process uses AWS C

Question 525

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Your company needs to automate 3 layers of a large cloud deployment. You want to be able to track this deployment's evolution as it changes over time, and carefully control any alterations. What is

Question 526

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A company wants to migrate its content sharing web application hosted on Amazon EC2 to a serverless architecture. The company currently deploys changes to its application by creating a new Auto Scal

Question 527

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A company is developing a web application's infrastructure using AWS CloudFormation. The database engineering team maintains the database resources in a CloudFormation template, and the software dev

Question 528

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Your DevOps team is responsible for a multi-tier, Windows-based web application consisting of web servers, Amazon RDS database instances, and a load balancer behind Amazon Route53. You have been ask

Question 529

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Question 530

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Currently, your deployment process consists of setting your load balancer to point to a maintenance page, turning off ea web application servers, deploying your code, turning the web application ser

Question 521

After a recent audit, a company decided to implement a new disaster recovery strategy for its Amazon S3 data and its MySQL database running on Amazon EC2. Management wants the ability to recover to a secondary AWS Region with an RPO under 5 seconds and an RTO under 1 minute.

Which actions will meet the requirements while MINIMIZING operational overhead? (Choose two.)

Modify the application to write to both Regions at the same time when uploading objects to Amazon S3.

Migrate the database to an Amazon Aurora multi-master in the primary and secondary Regions.

Migrate the database to Amazon RDS with a read replica in the secondary Region.

Migrate to Amazon Aurora Global Database.

Set up S3 cross-Region replication with a replication SLA for the S3 buckets where objects are being put.

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Question 522

A company uses a series of individual Amazon CloudFormation 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?

Create an AWS Lambda function to deploy the CloudFormation templates in the required order. Use stack policies to alert the data engineering team.

Host the CloudFormation 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 for deployments. Use Amazon SNS to notify the data engineering team.

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Question 523

A DevOps Engineer at a startup cloud-based gaming company has the task of 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?

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.

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.

Use a Jenkins pipeline to trigger a build process when software is pushed to a private GitHub repository. AWS 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.

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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Question 524

A DevOps Engineer is developing a deployment strategy that will allow for data-driven decisions before a feature is fully approved for general availability. The current deployment process uses AWS CloudFormation and blue/green-style deployments. The development team has decided that customers should be randomly assigned to groups, rather than using a set percentage, and redirects should be avoided. What process should be followed to implement the new deployment strategy?

Configure Amazon Route 53 weighted records for the blue and green stacks, with 50% of traffic configured to route to each stack.

Configure Amazon CloudFront with an AWS Lambda@Edge function to set a cookie when CloudFront receives a request. Assign the user to a version A or B, and configure the web server to redirect to version A or B.

Configure Amazon CloudFront with an AWS Lambda@Edge function to set a cookie when CloudFront receives a request. Assign the user to a version A or B, then return the corresponding version to the viewer.

Configure Amazon Route 53 with an AWS Lambda function to set a cookie when Amazon CloudFront receives a request. Assign the user to version A or B, then return the corresponding version to the viewer.

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Question 525

Your company needs to automate 3 layers of a large cloud deployment. You want to be able to track this deployment's evolution as it changes over time, and carefully control any alterations. What is a good way to automate a stack to meet these requirements?

Use OpsWorks Stacks with three layers to model the layering in your stack.

Use CloudFormation Nested Stack Templates, with three child stacks to represent the three logical layers of your cloud.

Use AWS Config to declare a configuration set that AWS should roll out to your cloud.

Use Elastic Beanstalk Linked Applications, passing the important DNS entires between layers using the metadata interface.

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Question 526

A company wants to migrate its content sharing web application hosted on Amazon EC2 to a serverless architecture. The company currently deploys changes to its application by creating a new Auto Scaling group of EC2 instances and a new Elastic Load Balancer, and then shifting the traffic away using an Amazon Route 53 weighted routing policy. For its new serverless application, the company is planning to use Amazon API Gateway and AWS Lambda. The company will need to update its deployment processes to work with the new application. It will also need to retain the ability to test new features on a small number of users before rolling the features out to the entire user base. Which deployment strategy will meet these requirements?

Use AWS CDK to deploy API Gateway and Lambda functions. When code needs to be changed, update the AWS CloudFormation stack and deploy the new version of the APIs and Lambda functions. Use a Route 53 failover routing policy for the canary release strategy.

Use AWS CloudFormation to deploy API Gateway and Lambda functions using Lambda function versions. When code needs to be changed, update the CloudFormation stack with the new Lambda code and update the API versions using a canary release strategy. Promote the new version when testing is complete.

Use AWS Elastic Beanstalk to deploy API Gateway and Lambda functions. When code needs to be changed, deploy a new version of the API and Lambda functions. Shift traffic gradually using an Elastic Beanstalk blue/green deployment.

Use AWS OpsWorks to deploy API Gateway in the service layer and Lambda functions in a custom layer. When code needs to be changed, use OpsWorks to perform a blue/green deployment and shift traffic gradually.

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Question 527

A company is developing a web application's infrastructure using AWS CloudFormation. The database engineering team maintains the database resources in a CloudFormation template, and the software development team maintains the web application resources in a separate CloudFormation template. As the scope of the application grows, the software development team needs to use resources maintained by the database engineering team. However, both teams have their own review and lifecycle management processes that they want to keep. Both teams also require resource-level change-set reviews. The software development team would like to deploy changes to this template using their CI/CD pipeline.

Which solution will meet these requirements?

Create a stack export from the database CloudFormation template and import those references into the web application CloudFormation template.

Create a CloudFormation nested stack to make cross-stack resource references and parameters available in both stacks.

Create a CloudFormation stack set to make cross-stack resource references and parameters available in both stacks.

Create input parameters in the web application CloudFormation template and pass resource names and IDs from the database stack.

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Question 528

Your DevOps team is responsible for a multi-tier, Windows-based web application consisting of web servers, Amazon RDS database instances, and a load balancer behind Amazon Route53. You have been asked by your manager to build a costeffective rolling deployment solution for this web application. What method should you use?

Re-deploy your application on an AWS OpsWorks stack. Use the AWS OpsWorks done stack feature to allow updates between duplicate stacks.

Re-deploy your application on Elastic Beanstalk and take advantage of Elastic BeanStalk rolling updates.

Re-deploy your application using an AWS CloudFormation template, launch a new AWS CloudFormation stack during each deployment, and then tear down the old stack.

Re-deploy your application using an AWS CloudFormation template. Use AWS CloudFormation rolling deployment policies, create a new policy for your AWS CloudFormation stack, and initiate an update stack operation to deploy new code.

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Question 529

An online company uses Amazon EC2 Auto Scaling extensively to provide an excellent customer experience while minimizing the number of running EC2 instances. The company’s self-hosted Puppet environment in the application layer manages the configuration of the instances. The IT manager wants the lowest licensing costs and wants to ensure that whenever the EC2 Auto Scaling group scales down, removed EC2 instances are deregistered from the Puppet master as soon as possible. How can the requirement be met?

At instance launch time, use EC2 user data to deploy the AWS CodeDeploy agent. Use CodeDeploy to install the Puppet agent. When the Auto Scaling group scales out, run a script to register the newly deployed instances to the Puppet master.When the Auto Scaling group scales in, use the EC2 Auto Scaling EC2_INSTANCE_TERMINATING lifecycle hook to trigger de-registration from the Puppet master.

Bake the AWS CodeDeploy agent into the base AMI. When the Auto Scaling group scales out, use CodeDeploy to install the Puppet agent, and execute a script to register the newly deployed instances to the Puppet master. When the Auto Scaling group scales in, use the CodeDeploy ApplicationStop lifecycle hook to run a script to de-register the instance from the Puppet master.

At instance launch time, use EC2 user data to deploy the AWS CodeDeploy agent. When the Auto Scaling group scales out, use CodeDeploy to install the Puppet agent, and run a script to register the newly deployed instances to the Puppet master. When the Auto Scaling group scales in, use the EC2 user data instance stop script to run a script to de-register the instance from the Puppet master.

Bake the AWS Systems Manager agent into the base AMI. When the Auto Scaling group scales out, use the AWS Systems Manager to install the Puppet agent, and run a script to register the newly deployed instances to the Puppet master. When the Auto Scaling group scales in, use the Systems Manager instance stop lifecycle hook to run a script to deregister the instance from the Puppet master.

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Question 530

Currently, your deployment process consists of setting your load balancer to point to a maintenance page, turning off ea web application servers, deploying your code, turning the web application servers back on, and removing the maintenance page.

Working with your development team, you've agreed that performing rolling deployments of your software would provide a better user experience and a more agile deployment process. Which techniques could you use to provide a cost-effective rolling deployment process? (Choose two.)

Use the Amazon Elastic Cloud Compute (EC2) API to write a service to return a list of servers based on the tags for the application that needs deployment, and use Amazon Simple Queue Service to queue up all servers for a rolling deployment.

Re-deploy your application on AWS Elastic Beanstalk, and use Elastic Beanstalk rolling deployments.

Re-deploy your application on an AWS OpsWorks stack, and take advantage of OpsWorks rolling deployments.

Re-deploy your application using an AWS CloudFormation template, launch a new CloudFormation stack during each deployment, and then tear down the old stack.

Re-deploy your application using an AWS CloudFormation template with Auto Scaling group, and use update policies to provide rolling updates.

Using Amazon Simple Workflow Service, create a workflow application that talks to the Amazon EC2 API to deploy your new code in a rolling fashion.

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Total 557 questions