AWS-DEVOPS-ENGINEER-PROFESSIONAL LATEST PREP TORRENT & AWS-DEVOPS-ENGINEER-PROFESSIONAL SURE TEST GUIDE

AWS-DevOps-Engineer-Professional latest prep torrent & AWS-DevOps-Engineer-Professional sure test guide

AWS-DevOps-Engineer-Professional latest prep torrent & AWS-DevOps-Engineer-Professional sure test guide

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We will be happy to assist you with any questions regarding our products. Our AWS Certified DevOps Engineer - Professional (AWS-DevOps-Engineer-Professional) practice exam software helps to prepare applicants to practice time management, problem-solving, and all other tasks on the standardized exam and lets them check their scores. The Amazon AWS-DevOps-Engineer-Professional Practice Test results help students to evaluate their performance and determine their readiness without difficulty.

The Amazon AWS-DevOps-Engineer-Professional Exam covers a wide range of topics, including continuous delivery and deployment, monitoring and logging, security and compliance, and infrastructure as code. Candidates should have a solid understanding of AWS services such as AWS CloudFormation, AWS Elastic Beanstalk, AWS CodePipeline, AWS CodeDeploy, and AWS CloudWatch. In addition, candidates should have experience with DevOps tools such as Docker, Jenkins, and Chef.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q17-Q22):

NEW QUESTION # 17
A company is using AWS CodeCommit as its source code repository. After an internal audit, the compliance team mandates that any code change that go into the master branch must be committed by senior developers.
Which solution will meet these requirements?

  • A. Create a repository in CodeCommit with a working and master branch.
    Create separate IAM groups for senior developers and developers.
    Use an IAM policy to assign each IAM group their corresponding branches.
    Once the code is merged to the working branch, senior developers can pull the changes from the working branch to the master branch.
  • B. Create a repository in CodeCommit.
    Create separate IAM groups for senior developers and developers.
    Assign code commit permissions for both groups, with code merge permissions for the senior developers group.
    Create a trigger to notify senior developers with a URL link to approve or deny commit requests delivered through Amazon SNS.
    Once a senior developer approves the code, the code gets merged to the master branch.
  • C. Create two repositories in CodeCommit: one for working and another for the master.
    Create separate IAM groups for senior developers and developers.
    Assign the resource-level permissions on the repositories tied to the IAM groups.
    After the code changes are reviewed, sync the approved files to the master code commit repository.
  • D. Create a repository in CodeCommit.
    Create separate IAM groups for senior developers and developers.
    Use AWS Lambda triggers on the master branch and get the user name of the developer at the event object of the Lambda function.
    Validate the user name with the IAM group to approve or deny the commit.

Answer: A


NEW QUESTION # 18
What is the proper (best practice) way to begin a playbook?

  • A. ...
  • B. - hosts: all
  • C. ###
  • D. ---

Answer: D

Explanation:
All YAML files can begin with `---' and end with `...' to indicate where YAML starts and ends.
While this is optional it is considered best practice.
Reference: http://docs.ansible.com/ansible/YAMLSyntax.html


NEW QUESTION # 19
You are using Jenkins as your continuous integration systems for the application hosted in AWS. The builds are then placed on newly launched EC2 Instances. You want to ensure that the overall cost of the entire continuous integration and deployment pipeline is minimized. Which of the below options would meet these requirements? Choose 2 answers from the options given below

  • A. Ensurethat all build tests are conducted on the newly launched EC2 Instances.
  • B. Ensurethat all build tests are conducted using Jenkins before deploying the build tonewly launched EC2 Instances.
  • C. Ensurethe Instances are launched only when the build tests are completed.
  • D. Ensurethe Instances are created beforehand for faster turnaround time for theapplication builds to be placed.

Answer: B,C

Explanation:
Explanation
To ensure low cost, one can carry out the build tests on the Jenkins server itself. Once the build tests are completed, the build can then be transferred onto newly launched CC2 Instances.
For more information on AWS and Jenkins, please visit the below URL:
* https://aws.amazon.com/getting-started/projects/setup-jenkins-build-server/ Option D is incorrect. It would be right choice in case the requirement is to get better speed.


NEW QUESTION # 20
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. 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.
  • B. 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 a deployment step to deploy the Lambda functions with AWS CloudFormation.
  • C. 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.
  • D. 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.

Answer: A

Explanation:
First, A&B both are in-correct: As a basic policy - do not create a repo for the same code for multiple environments. Always create a branch from the same repo. The strategy is wrong for A&B. Now C&D: D uses Lambda function with s3, whereas C uses code pipeline to store and build. Using code pipeline is a smart choice rather than using S3 as a code pipeline that offers better branching strategy and controls.


NEW QUESTION # 21
Which of the following is not a supported platform on Elastic Beanstalk?

  • A. Kubernetes
  • B. PackerBuilder
  • C. Nodejs
  • D. JavaSE
  • E. Go

Answer: A

Explanation:
Explanation
Answer-C
Below is the list of supported platforms
*Packer Builder
*Single Container Docker
*Multicontainer Docker
*Preconfigured Docker
*Go
*Java SE
*Java with Tomcat
*NET on Windows Server with I IS
*Nodejs
*PHP
*Python
*Ruby
For
more information on the supported platforms please refer to the below link
http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/concepts.platforms. html


NEW QUESTION # 22
......

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