AWS-DevOps-Engineer-Professional시험유효자료 & AWS-DevOps-Engineer-Professional시험문제집 - AWS-DevOps-Engineer-Professional예상문제 - Goldmile-Infobiz

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AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional 아주 신기한 효과가 있을 것입니다.

Goldmile-Infobiz에서 출시한 Amazon인증 AWS-DevOps-Engineer-Professional - AWS Certified DevOps Engineer - Professional시험유효자료덤프는Amazon인증 AWS-DevOps-Engineer-Professional - AWS Certified DevOps Engineer - Professional시험유효자료시험에 대비하여 IT전문가들이 제작한 최신버전 공부자료로서 시험패스율이 100%입니다.Goldmile-Infobiz는 고품질 Amazon인증 AWS-DevOps-Engineer-Professional - AWS Certified DevOps Engineer - Professional시험유효자료덤프를 가장 친근한 가격으로 미래의 IT전문가들께 제공해드립니다. Goldmile-Infobiz 에서는 최선을 다해 여러분이Amazon AWS-DevOps-Engineer-Professional 참고자료인증시험을 패스하도록 도울 것이며 여러분은 Goldmile-Infobiz에서Amazon AWS-DevOps-Engineer-Professional 참고자료덤프의 일부분의 문제와 답을 무료로 다운받으실 수 잇습니다. Goldmile-Infobiz 선택함으로Amazon AWS-DevOps-Engineer-Professional 참고자료인증시험통과는 물론Goldmile-Infobiz 제공하는 일년무료 업데이트서비스를 제공받을 수 있으며 Goldmile-Infobiz의 인증덤프로 시험에서 떨어졌다면 100% 덤프비용 전액환불을 약속 드립니다.

Goldmile-Infobiz 에서Amazon AWS-DevOps-Engineer-Professional시험유효자료 덤프를 구매하시면 일년무료 업데이트서비스를 받을수 있습니다.일년무료 업데이트서비스란 구매일로부터 1년동안 구매한 덤프가 업데이트될때마다 구매시 사용한 메일주소로 가장 최신버전을 보내드리는것을 의미합니다. Amazon AWS-DevOps-Engineer-Professional시험유효자료덤프에는 가장 최신시험문제의 기출문제가 포함되어있어 높은 적주율을 자랑하고 있습니다.

전문적으로Amazon인증Amazon AWS-DevOps-Engineer-Professional시험유효자료시험을 응시하는 분들을 위하여 만들었습니다.

Goldmile-Infobiz는 몇년간 최고급 덤프품질로 IT인증덤프제공사이트중에서 손꼽히는 자리에 오게 되었습니다. Amazon AWS-DevOps-Engineer-Professional시험유효자료 덤프는 많은 덤프들중에서 구매하는 분이 많은 인기덤프입니다. Amazon AWS-DevOps-Engineer-Professional시험유효자료시험준비중이신 분이시라면Amazon AWS-DevOps-Engineer-Professional시험유효자료한번 믿고 시험에 도전해보세요. 좋은 성적으로 시험패스하여 자격증 취득할것입니다.

Goldmile-Infobiz의 덤프선택으로Amazon AWS-DevOps-Engineer-Professional시험유효자료인증시험에 응시한다는 것 즉 성공과 멀지 않았습니다. 여러분의 성공을 빕니다.

AWS-DevOps-Engineer-Professional PDF DEMO:

QUESTION NO: 1
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. 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.
C. 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

QUESTION NO: 2
A company has an application that has predictable peak traffic times. The company wants the application instances to scale up only during the peak times. The application stores state in Amazon
DynamoDB. The application environment uses a standard Node.js application stack and custom Chef recipes stored in a private Git repository.
Which solution is MOST cost-effective and requires the LEAST amount of management overhead when performing rolling updates of the application environment?
A. Configure AWS OpsWorks stacks and push the custom recipes to an Amazon S3 bucket and configure custom recipes to point to the S3 bucket. Then add an application layer type for a standard
Node.js application server and configure the custom recipe to deploy the application in the deploy step from the S3 bucket. Configure time-based instances and attach an Amazon EC2 IAM role that provides permission to access DynamoDB
B. Create a custom AMI with the Node.js environment and application stack using Chef recipes. Use the AMI in an Auto Scaling group and set up scheduled scaling for the required times, then set up an
Amazon EC2 IAM role that provides permission to access DynamoDB.
C. Create a Docker file that uses the Chef recipes for the application environment based on an official
Node.js Docker image. Create an Amazon ECS cluster and a service for the application environment, then create a task based on this Docker image. Use scheduled scaling to scale the containers at the appropriate times and attach a task-level IAM role that provides permission to access DynamoD
D. Configure AWS OpsWorks stacks and use custom Chef cookbooks. Add the Git repository information where the custom recipes are stored, and add a layer in OpsWorks for the Node.js application server.
Then configure the custom recipe to deploy the application in the deploy step. Configure time-based instances and attach an Amazon EC2 IAM role that provides permission to access DynamoDB.
Answer: A

QUESTION NO: 3
A company is migrating an application to AWS that runs on a single Amazon EC2 instance.
Because of licensing limitations, the application does not support horizontal scaling. The application will be using Amazon Aurora for its database.
How can the DevOps Engineer architect automated healing to automatically recover from EC2 and
Aurora failures, in addition to recovering across Availability Zones (AZs), in the MOST cost-effective manner?
A. Create an EC2 instance and enable instance recovery. Create an Aurora database with a read replica in a second AZ, and promote it to a primary database instance if the primary database instance fails.
B. Create an Amazon CloudWatch Events rule to trigger an AWS Lambda function to start a new EC2 instance in an available AZ when the instance status reaches a failure state. Create an Aurora database with a read replica in a second AZ, and promote it to a primary database instance when the primary database instance fails.
C. Create an EC2 Auto Scaling group with a minimum and maximum instance count of 1, and have it span across AZs. Use a single-node Aurora instance.
D. Assign an Elastic IP address on the instance. Create a second EC2 instance in a second AZ. Create an Amazon CloudWatch Events rule to trigger an AWS Lambda function to move the Elastic IP address to the second instance when the first instance fails. Use a single-node Aurora instance.
Answer: B

QUESTION NO: 4
A Security team is concerned that a Developer can unintentionally attach an Elastic IP address to an Amazon EC2 instance in production. No Developer should be allowed to attach an Elastic IP address to an instance.
The Security team must be notified if any production server has an Elastic IP address at any time.
How can this task be automated?
A. Ensure that all IAM groups are associated with Developers do not have associate-address permissions.
Create a scheduled AWS Lambda function to check whether an Elastic IP address is associated with any instance tagged as production, and alert the Security team if an instance has an Elastic IP address associated with it.
B. Create an AWS Config rule to check that all production instances have the EC2 IAM roles that include deny associate-address permissions. Verify whether there is an Elastic IP address associated with any instance, and alert the Security team if an instance has an Elastic IP address associated with it.
C. Use Amazon Athena to query AWS CloudTrail logs to check for any associate-address attempts.
Create an AWS Lambda function to dissociate the Elastic IP address from the instance, and alert the
Security team.
D. Attach an IAM policy to the Developer's IAM group to deny associate-address permissions. Create a custom AWS Config rule to check whether an Elastic IP address is associated with any instance tagged as production, and alert the Security team.
Answer: D

QUESTION NO: 5
A DevOps Engineer must create a Linux AMI in an automated fashion. The newly created AMI identification must be stored in a location where other build pipelines can access the new identification programmatically What is the MOST cost-effective way to do this?
A. Build a pipeline in AWS CodePipeline to download and save the latest operating system Open
Virtualization Format (OVF) image to an Amazon S3 bucket, then customize the image using the guestfish utility. Use the virtual machine (VM) import command to convert the OVF to an AMI, and store the AMI identification output as an AWS Systems Manager parameter.
B. Create an AWS Systems Manager automation document with values instructing how the image should be created. Then build a pipeline in AWS CodePipeline to execute the automation document to build the AMI when triggered. Store the AMI identification output as a Systems Manager parameter.
C. Launch an Amazon EC2 instance and install Packer. Then configure a Packer build with values defining how the image should be created. Build a Jenkins pipeline to invoke the Packer build when triggered to build an AMI. Store the AMI identification output in an Amazon DynamoDB table.
D. Build a pipeline in AWS CodePipeline to take a snapshot of an Amazon EC2 instance running the latest version of the application. Then start a new EC2 instance from the snapshot and update the running instance using an AWS Lambda function. Take a snapshot of the updated instance, then convert it to an AMI. Store the AMI identification output in an Amazon DynamoDB table.
Answer: C

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Updated: May 28, 2022