AWS-DevOps응시자료 & AWS-DevOps It인증시험 - Amazon AWS-DevOps인증문제 - Omgzlook

Omgzlook는 많은 분들이 IT인증시험을 응시하여 성공하도록 도와주는 사이트입니다. 최고급 품질의Amazon AWS-DevOps응시자료시험대비 덤프는Amazon AWS-DevOps응시자료시험을 간단하게 패스하도록 힘이 되어드립니다. Omgzlook 의 덤프는 모두 엘리트한 전문가들이 만들어낸 만큼 시험문제의 적중률은 아주 높습니다. 인재도 많고 경쟁도 많은 이 사회에, IT업계인재들은 인기가 아주 많습니다.하지만 팽팽한 경쟁률도 무시할 수 없습니다.많은 IT인재들도 어려운 인증시험을 패스하여 자기만의 자리를 지키고 있습니다.우리Omgzlook에서는 마침 전문적으로 이러한 IT인사들에게 편리하게 시험을 패스할수 있도록 유용한 자료들을 제공하고 있습니다. Omgzlook의 Amazon인증 AWS-DevOps응시자료덤프는 시장에서 가장 최신버전으로서 시험패스를 보장해드립니다.

AWS Certified DevOps Engineer AWS-DevOps 면접 시에도 IT인증 자격증유무를 많이들 봅니다.

AWS Certified DevOps Engineer AWS-DevOps응시자료 - AWS Certified DevOps Engineer - Professional (DOP-C01) Omgzlook는 여러분이 자격증을 취득하는 길에서의 없어서는 안될 동반자입니다. Omgzlook시험문제와 답이야 말로 퍼펙트한 자료이죠. Omgzlook Amazon인증AWS-DevOps 시험기출문제인증시험자료는 100% 패스보장을 드립니다

Omgzlook에서 출시한 Amazon인증 AWS-DevOps응시자료덤프는Amazon인증 AWS-DevOps응시자료시험에 대비하여 IT전문가들이 제작한 최신버전 공부자료로서 시험패스율이 100%입니다.Omgzlook는 고품질 Amazon인증 AWS-DevOps응시자료덤프를 가장 친근한 가격으로 미래의 IT전문가들께 제공해드립니다. Omgzlook의 소원대로 멋진 IT전문가도 거듭나세요.

Amazon AWS-DevOps응시자료 - 꿈을 안고 사는 인생이 멋진 인생입니다.

IT전문가들이 자신만의 경험과 끊임없는 노력으로 작성한 Amazon AWS-DevOps응시자료덤프에 관심이 있는데 선뜻 구매결정을 내릴수없는 분은Amazon AWS-DevOps응시자료덤프 구매 사이트에서 메일주소를 입력한후 DEMO를 다운받아 문제를 풀어보고 구매할수 있습니다. 자격증을 많이 취득하면 좁은 취업문도 넓어집니다. Amazon AWS-DevOps응시자료 덤프로Amazon AWS-DevOps응시자료시험을 패스하여 자격즉을 쉽게 취득해보지 않으실래요?

Omgzlook의 경험이 풍부한 IT전문가들이 연구제작해낸 Amazon인증 AWS-DevOps응시자료덤프는 시험패스율이 100%에 가까워 시험의 첫번째 도전에서 한방에 시험패스하도록 도와드립니다. Amazon인증 AWS-DevOps응시자료덤프는Amazon인증 AWS-DevOps응시자료최신 실제시험문제의 모든 시험문제를 커버하고 있어 덤프에 있는 내용만 공부하시면 아무런 걱정없이 시험에 도전할수 있습니다.

AWS-DevOps 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 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

QUESTION NO: 5
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

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Updated: May 28, 2022