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2025 100% Free DOP-C01–High Hit-Rate 100% Free Valid Braindumps Sheet | AWS Certified DevOps Engineer - Professional Test Online

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Amazon DOP-C01 (AWS Certified DevOps Engineer - Professional) Certification Exam is a specialized certification offered by Amazon Web Services that focuses on the skills and knowledge required to design, deploy, and manage applications on the AWS platform. AWS Certified DevOps Engineer - Professional certification is designed for professionals who have experience working with AWS and who want to take their skills to the next level in order to become a certified DevOps engineer.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q428-Q433):

NEW QUESTION # 428
To override an allow in an IAM policy, you set the Effect element to ______.

  • A. Deny
  • B. Allow
  • C. Stop
  • D. Block

Answer: A

Explanation:
By default, access to resources is denied. To allow access to a resource, you must set the Effect element to Allow. To override an allow (for example, to override an allow that is otherwise in force), you set the Effect element to Deny.
Reference: http://docs.aws.amazon.com/IAM/latest/UserGuide/
AccessPolicyLanguage_ElementDescriptions.html


NEW QUESTION # 429
Which EBS volume type is best for high performance NoSQL cluster deployments?

  • A. gp1
  • B. gp2
  • C. io1
  • D. standard

Answer: C

Explanation:
io1 volumes, or Provisioned IOPS (PIOPS) SSDs, are best for: Critical business applications that require sustained IOPS performance, or more than 10,000 IOPS or 160 MiB/s of throughput per volume, like large database workloads, such as MongoDB.
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/EBSVolumeTypes.html


NEW QUESTION # 430
A company is beginning to move to the AWS Cloud. Internal customers are classified into two groups according to their AWS skills: beginners and experts.
The DevOps Engineer needs to build a solution to allow beginners to deploy a restricted set of AWS architecture blueprints expresses as AWS CloudFormation templates. Deployment should only be possible on predetermined Virtual Private Clouds (VPCs). However, expert users should be able to deploy blueprints without constraints. Experts should also be able to access other AWS services, as needed. How can the Engineer implement a solution to meet these requirements with the LEAST amount of overhead?

  • A. Store the templates on Amazon S3. Use AWS Service Catalog to create a portfolio of products based on those templates. Create an IAM role restricting VPCs available for creation of AWS resources.
    Apply a launch constraint to the products using this role. Create an IAM group for beginners giving them access to the portfolio. Create a separate group for experts giving them access to the portfolio and other AWS services.
  • B. Store the templates on Amazon S3. Use AWS Service Catalog to create a portfolio of products based on those templates. Apply template constraints to the products with rules limiting VPCs available for deployments. Create an IAM group for beginners giving them access to the portfolio.
    Create a separate group for experts giving them access to the templates, CloudFormation, and other AWS services.
  • C. Apply constraints to the parameters in the templates, limiting the VPCs available for deployments.
    Store the templates on Amazon S3. Create an IAM group for beginners and give them access to the templates and CloudFormation. Create a separate group for experts, giving them access to the templates, CloudFormation, and other AWS services.
  • D. Create two templates for each architecture blueprint where only one of them limits the VPC available for deployments. Store the templates in Amazon DynamoDB. Create an IAM group for beginners giving them access to the constrained templates and CloudFormation. Create a separate group for experts giving them access to the unconstrained templates, CloudFormation, and other AWS services.

Answer: B


NEW QUESTION # 431
A company wants to implement a CI/CD pipeline for an application that is deployed on AWS. The company also has a source-code analysis tool hosted on premises that checks for security flaws. The tool has not yet been migrated to AWS and can be accessed only on-premises server. The company wants to run checks against the source code as part of the pipeline before the code is compiled. The checks take anywhere from minutes to an hour to complete.
How can a DevOps Engineer meet these requirements?

  • A. Use AWS CodePipeline to create a pipeline. Add a step after the source stage to make an HTTPS request to the on-premises hosted web service that invokes a test with the source code analysis tool. When the analysis is complete, the web service sends the results back by putting the results in an Amazon S3 output location provided by CodePipeline.
  • B. Use AWS CodePipeline to create a pipeline. Add an action to the pipeline to invoke an AWS Lambda function after the source stage. Have the Lambda function invoke the source-code analysis tool on premises against the source input from CodePipeline. The function then waits for the execution to complete and places the output in a specified Amazon S3 location.
  • C. Use AWS CodePipeline to create a pipeline, then create a custom action type. Create a job worker for the on-premises server that polls CodePipeline for job requests, initiates the tests, and returns the results.
    Configure the pipeline to invoke the custom action after the source stage.
  • D. Use AWS CodePipeline to create a pipeline. Create a shell script that copies the input source code to a location on premises. Invoke the source code analysis tool and return the results to CodePipeline. Invoke the shell script by adding a custom script action after the source stage.

Answer: C

Explanation:
Explanation


NEW QUESTION # 432
An Application team is refactoring one of its internal tools to run in AWS instead of on-premises hardware.
All of the code is currently written in Python and is standalone. There is also no external state store or relational database to be queried.
Which deployment pipeline incurs the LEAST amount of changes between development and production?

  • A. Developers should use their native Python environment. When Dependencies are changed and a new container is ready, use AWS CodePipeline and AWS CodeBuild to perform functional tests and then upload the new container to the Amazon ECR. Use AWS CloudFormation with the custom container to deploy the new Amazon ECS.
  • B. Developers should use Docker for local development. When dependencies are changed and a new container is ready, use AWS CodePipeline and AWS CodeBuild to perform functional tests and then upload the new container to Amazon ECR. Use AWS CloudFormation with the custom container to deploy the new Amazon ECS.
  • C. Developers should use Docker for local development. Use AWS SMS to import these containers as AMIs for Amazon EC2 whenever dependencies are updated. Use AWS CodePipeline to test new code changes against the Auto Scaling group.
  • D. Developers should use their native Python environment. When Dependencies are changed and a new code is ready, use AWS CodePipeline and AWS CodeBuild to perform functional tests and then upload the new container to the Amazon ECR. Use CodePipeline and CodeBuild with the custom container to test new code changes inside AWS Elastic Beanstalk.

Answer: B


NEW QUESTION # 433
......

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