어떻게 하면 가장 편하고 수월하게 Amazon DOP-C01공부문제시험을 패스할수 있을가요? 그 답은 바로 Omgzlook에서 찾아볼수 있습니다. Amazon DOP-C01공부문제덤프로 시험에 도전해보지 않으실래요? Omgzlook는 당신을 위해Amazon DOP-C01공부문제덤프로Amazon DOP-C01공부문제인증시험이라는 높은 벽을 순식간에 무너뜨립니다. Omgzlook는 관련업계에서도 우리만의 브랜드이미지를 지니고 있으며 많은 고객들의 찬사를 받았습니다. 현재Amazon DOP-C01공부문제인증시험패스는 아주 어렵습니다, 하지만 Omgzlook의 자료로 충분히 시험 패스할 수 있습니다. Omgzlook는 다른 회사들이 이루지 못한 Omgzlook만의 매우 특별한 이점을 가지고 있습니다.Omgzlook의Amazon DOP-C01공부문제덤프는 전문적인 엔지니어들의Amazon DOP-C01공부문제시험을 분석이후에 선택이 된 문제들이고 적지만 매우 가치 있는 질문과 답변들로 되어있는 학습가이드입니다.고객들은 단지 Omgzlook에서 제공해드리는Amazon DOP-C01공부문제덤프의 질문과 답변들을 이해하고 마스터하면 첫 시험에서 고득점으로 합격을 할 것입니다.
AWS Certified DevOps Engineer DOP-C01 그러면 100프로 자신감으로 응시하셔서 한번에 안전하게 패스하실 수 있습니다.
하지만DOP-C01 - AWS Certified DevOps Engineer - Professional공부문제시험은Amazon인증의 아주 중요한 시험으로서DOP-C01 - AWS Certified DevOps Engineer - Professional공부문제시험패스는 쉬운 것도 아닙니다. Omgzlook의 경험이 풍부한 전문가들이Amazon DOP-C01 시험패스인증시험관련자료들을 계획적으로 페펙트하게 만들었습니다.Amazon DOP-C01 시험패스인증시험응시에는 딱 좋은 자료들입니다. Omgzlook는 최고의 덤프만 제공합니다.
Amazon인증DOP-C01공부문제시험을 위하여 최고의 선택이 필요합니다. Omgzlook 선택으로 좋은 성적도 얻고 하면서 저희 선택을 후회하지 않을것니다.돈은 적게 들고 효과는 아주 좋습니다.우리Omgzlook여러분의 응시분비에 많은 도움이 될뿐만아니라Amazon인증DOP-C01공부문제시험은 또 일년무료 업데이트서비스를 제공합니다.작은 돈을 투자하고 이렇게 좋은 성과는 아주 바람직하다고 봅니다.
Amazon DOP-C01공부문제 - 그리고 시험에서 떨어지셨다고 하시면 우리는 덤프비용전액 환불을 약속 드립니다.
Amazon인증 DOP-C01공부문제시험은 IT업종종사분들에게 널리 알려진 유명한 자격증을 취득할수 있는 시험과목입니다. Amazon인증 DOP-C01공부문제시험은 영어로 출제되는만큼 시험난이도가 많이 높습니다.하지만 Omgzlook의Amazon인증 DOP-C01공부문제덤프만 있다면 아무리 어려운 시험도 쉬워집니다. 오르지 못할 산도 정복할수 있는게Omgzlook제품의 우점입니다. Omgzlook의Amazon인증 DOP-C01공부문제덤프로 시험을 패스하여 자격증을 취득하면 정상에 오를수 있습니다.
무료샘플을 보시면Omgzlook Amazon인증DOP-C01공부문제시험대비자료에 믿음이 갈것입니다.고객님의 이익을 보장해드리기 위하여Omgzlook는 시험불합격시 덤프비용전액환불을 무조건 약속합니다. Omgzlook의 도움으로 더욱 많은 분들이 멋진 IT전문가로 거듭나기를 바라는바입니다.
DOP-C01 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 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: 3
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: 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