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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q318-Q323):

NEW QUESTION # 318
Two teams are working together on different portions of an architecture and are using AWS CloudFormation to manage their resources. One team administers operating system-level updates and patches, while the other team manages application-level dependencies and updates. The Application team must take the most recent AMI when creating new instances and deploying the application. What is the MOST scalable method for linking these two teams and processes?

A. The Operating System team uses CloudFormation to create new versions of their AMIs and lists the Amazon Resource names (ARNs) of the AMIs in an encrypted Amazon S3 object as part of the stack output section. The Application team uses a cross-stack reference to load the encrypted S3 object and obtain the most recent AMI ARNs.
B. The Operating System team maintains a nested stack that includes both the operating system and Application team templates. The Operating System team uses a stack update to deploy updates to the application stack whenever the Application team changes the application code.
C. The Operating System team uses CloudFormation stack to create an AWS CodePipeline pipeline that builds new AMIs, then places the latest AMI ARNs in an encrypted Amazon S3 object as part of the pipeline output. The Application team uses a cross-stack reference within their own CloudFormation template to get that S3 object location and obtain the most recent AMI ARNs to use when deploying their application.
D. The Operating System team uses CloudFormation stack to create an AWS CodePipeline pipeline that builds new AMIs. The team then places the AMI ARNs as parameters in AWS Systems Manager Parameter Store as part of the pipeline output. The Application team specifies a parameter of type ssm in their CloudFormation stack to obtain the most recent AMI ARN from the Parameter Store.

Answer: D

Explanation:
https://aws.amazon.com/premiumsupport/knowledge-center/cloudformation-systems-manager- parameter
https://aws.amazon.com/blogs/mt/integrating-aws-cloudformation-with-aws-systems-manager- parameter-store/

NEW QUESTION # 319
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?

A. 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 option, and use CodeDeployDefault AllatOnce as a deployment configuration.
Auto Scaling group
Instruct AWS CodeDeploy to terminate the original instances in the deployment group, and use the BlockTraffic hook within appsec.yml to delete the temporary files.
B. 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.
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 option, and use CodeDeployDefault HalfAtAtime as the deployment copy Auto Scaling group configuration. Instruct AWS CodeDeploy to terminate the original isntances in the deployment group, and use the BeforeAllowTraffic hook within appspec.yml to delete the temporary files.
D. 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 option, create a custom deployment configuration with minimum copy Auto Scaling group 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, and use the BeforeBlock Traffic hook within appsec.yml to delete the temporary files.

Answer: B

NEW QUESTION # 320
You have just developed a new mobile application that handles analytics workloads on large scale datasets that are stored on Amazon Redshift. Consequently, the application needs to access Amazon Redshift tables. Which of the below methods would be the best, both practically and security-wise, to access the tables? Choose the correct answer from the options below

A. Useroles that allow a web identity federated user to assume a role that allowsaccess to the RedShift table by providing temporary credentials.
B. Createa RedShift read-only access policy in 1AM and embed those credentials in theapplication.
C. Createan 1AM user and generate encryption keys for that user. Create a policy for RedShiftread-only access. Embed the keys in the application.
D. Createa HSM client certificate in Redshift and authenticate using this certificate.

Answer: A

Explanation:
Explanation
For access to any AWS service, the ideal approach for any application is to use Roles. This is the first preference. Hence option A and C are wrong.
For more information on 1AM policies please refer to the below link:
http://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies.html
Next for any web application, you need to use web identity federation. Hence option D is the right option. This along with the usage of roles is highly stressed in the AWS documentation.
"When you write such an app, you'll make requests to AWS services that must be signed with an AWS access key. However, we strongly recommend that you do not embed or distribute long-term AWS credentials with apps that a user downloads to a device, even in an encrypted store. Instead, build your app so that it requests temporary AWS security credentials dynamically when needed using web identity federation. The supplied temporary credentials map to an AWS role that has only the permissions needed to perform the tasks required by the mobile app".
For more information on web identity federation please refer to the below link:
http://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_providers_oidc.html

NEW QUESTION # 321
A defect was discovered in production and a new sprint item has been created for deploying a hotfix. However, any code change must go through the following steps before going into production:
- Scan the code for security breaches, such as password and access key
leaks.
- Run the code through extensive, long running unit tests.
Which source control strategy should a DevOps Engineer use in combination with AWS CodePipeline to complete this process?

A. Create a hotfix branch from the master branch. Triger the development pipeline from the hotfix branch.
Use AWS Lambda to do a content scan and run unit tests. Add a manual approval stage that merges the hotfix branch into the master branch.
B. Create a hotfix branch from the master branch. Triger the development pipeline from the hotfix branch.
Use AWS CodeBuild to do a content scan and run unit tests. Add a manual approval stage that merges the hotfix branch into the master branch.
C. Create a hotfix branch from the master branch. Create a separate source stage for the hotfix branch in the production pipeline. Trigger the pipeline from the hotfix branch. Use AWS Lambda to do a content scan and use AWS CodeBuild to run unit tests. Add a manual approval stage that merges the hotfix branch into the master branch.
D. Create a hotfix tag on the last commit of the master branch. Trigger the development pipeline from the hotfix tag. Use AWS CodeDeploy with Amazon ECS to do a content scan and run unit tests. Add a manual approval stage that merges the hotfix tag into the master branch.

Answer: B

Explanation:
We need to create a feature branch to test the fix and codebuild can do both the scan and unit tests.
https://docs.aws.amazon.com/codebuild/latest/userguide/how-to-create-pipeline.html#how-to- create-pipeline-add

NEW QUESTION # 322
You recently encountered a major bug in your Windows-based web application during a deployment cycle.
During this failed deployment, it took the team four hours to roll back to a previously working state, which left customers with a poor user experience.
During the post-mortem, your team discussed the need to provide a quicker way to roll back failed deployments.
You currently run your web application on Amazon EC2 using Windows 2012R2 and use Elastic Load Balancing for your load balancing needs.
Which technique should you use to solve this problem?

A. Create deployable versioned bundles of your application. Store the bundles on Amazon S3.
Re-deploy your web application on Elastic Beanstalk, and enable the Elastic Beanstalk auto- rollback feature tied to CloudWatch metrics that define failure.
B. Re-deploy your web application using Elastic Beanstalk, and use the Elastic Beanstalk application versions when deploying.
During failures, re-deploy the previous version to the Elastic Beanstalk environment.
C. Create deployable versioned bundles of your application.
Store the bundle on Amazon S3. Re-deploy your web application using an AWS OpsWorks stack, and use AWS OpsWorks application versioning to initiate a rollback during failures.
D. Re-deploy your web application using Elastic Beanstalk, and use the Elastic Beanstalk API to trigger a FailedDeployment API call to initiate a rollback to the previous version.
E. Re-deploy your web application using an AWS OpsWorks stack, and use the AWS OpsWorks auto-rollback feature to initiate a rollback during failures.

Answer: B

NEW QUESTION # 323
......

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New AWS-DevOps-Engineer-Professional Latest Braindumps Book | Efficient AWS-DevOps-Engineer-Professional: AWS Certified DevOps Engineer - Professional 100% Pass

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q318-Q323):

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