아직도Amazon AWS-DevOps시험준비인증시험으로 고민하시고 계십니까? Amazon AWS-DevOps시험준비인증시험가이드를 사용하실 생각은 없나요? Shobhadoshi는 여러분에 편리를 드릴 수 잇습니다. Shobhadoshi의 자료는 시험대비최고의 덤프로 시험패스는 문제없습니다. Shobhadoshi의 각종인증시험자료는 모두기출문제와 같은 것으로 덤프보고 시험패스는 문제없습니다. Shobhadoshi 는 완전히 여러분이 인증시험 준비와 안전한 시험패스를 위한 완벽한 덤프제공 사이트입니다.우리 Shobhadoshi의 덤프들은 응시자에 따라 ,시험 ,시험방법에 따라 알 맞춤한 퍼펙트한 자료입니다.여러분은 Shobhadoshi의 알맞춤 덤프들로 아주 간단하고 편하게 인증시험을 패스할 수 있습니다.많은 it인증관연 응시자들은 우리 Shobhadoshi가 제공하는 문제와 답으로 되어있는 덤프로 자격증을 취득하셨습니다.우리 Shobhadoshi 또한 업계에서 아주 좋은 이미지를 가지고 있습니다. 그리고 우리 또한 그 많은 덤프판매사이트 중에서도 단연 일등이고 생각합니다.

AWS Certified DevOps Engineer AWS-DevOps 그렇다고 자격증공부를 포기하면 자신의 위치를 찾기가 힘들것입니다.

만일 테스트에 어떤 변화가 생긴다면 될수록 2일간의 근무일 안에Amazon AWS-DevOps - AWS Certified DevOps Engineer - Professional시험준비 덤프를 업데이트 하여 고객들이 테스트에 성공적으로 합격 할 수 있도록 업데이트 된 버전을 구매후 서비스로 제공해드립니다. Amazon 인증 AWS-DevOps 시험정보덤프자료는Shobhadoshi의 전문가들이 최선을 다하여 갈고닦은 예술품과도 같습니다.100% 시험에서 패스하도록 저희는 항상 힘쓰고 있습니다. Shobhadoshi의 Amazon 인증 AWS-DevOps 시험정보시험덤프공부자료 출시 당시 저희는 이런 크나큰 인지도를 갖출수 있을지 생각도 못했었습니다.

불과 1,2년전만 해도 Amazon AWS-DevOps시험준비덤프를 결제하시면 수동으로 메일로 보내드리기에 공휴일에 결제하시면 덤프를 보내드릴수 없어 고객님께 페를 끼쳐드렸습니다. 하지만 지금은 시스템이 업그레이드되어Amazon AWS-DevOps시험준비덤프를 결제하시면 바로 사이트에서 다운받을수 있습니다. Shobhadoshi는 가면갈수록 고객님께 편리를 드릴수 있도록 나날이 완벽해질것입니다.

Amazon AWS-DevOps시험준비 - 구매의향이 있으시면 할인도 가능합니다.

만약 아직도Amazon AWS-DevOps시험준비인증시험 위하여 많은 시간과 정력을 소모하며 열심히 공부하고 있습니까? 아직도 어덯게하면Amazon AWS-DevOps시험준비인증시험을 빠르게 취득할 수 있는 방법을 못찿고 계십니까? 지금Shobhadoshi에서Amazon AWS-DevOps시험준비인증시험을 안전하게 넘을 수 있도록 대책을 내드리겠습니다. 아주 신기한 효과가 있을 것입니다.

성공으로 향하는 길에는 많은 방법과 방식이 있습니다. Amazon인증 AWS-DevOps시험준비시험을 패스하는 길에는Shobhadoshi의Amazon인증 AWS-DevOps시험준비덤프가 있습니다.

AWS-DevOps PDF DEMO:

QUESTION NO: 1
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: 2
Am Amazon EC2 instance with no internet access is running in a Virtual Private Cloud (VPC) and needs to download an object from a restricted Amazon S3 bucket. When the DevOps Engineer tries to gain access to the object, an Access Denied error is received.
What are the possible causes for this error? (Select THREE.)
A. There is an error in the S3 bucket policy.
B. S3 versioning is enabled.
C. The object has been moved to Amazon Glacier.
D. There is an error in the VPC endpoint policy.
E. The S3 bucket default encryption is enabled.
F. There is an error in the IAM role configuration.
Answer: A,D,F

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
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: 5
A DevOps Engineer is using AWS CodeDeploy across a fleet of Amazon EC2 instances in an
EC2 Auto Scaling group. The associated CodeDeploy deployment group, which is integrated with EC2
Auto Scaling, is configured to perform in-place deployments with CodeDeployDefault.OneAtATime.
During an ongoing new deployment, the Engineer discovers that, although the overall deployment finished successfully, two out of five instances have the previous application revision deployed. The other three instances have the newest application revision.
What is likely causing this issue?
A. A failed AfterInstall lifecycle event hook caused the CodeDeploy agent to roll back to the previous version on the affected instances.
B. EC2 Auto Scaling launched two new instances while the new deployment had not yet finished, causing the previous version to be deployed on the affected instances.
C. The CodeDeploy agent was not installed in two affected instances.
D. The two affected instances failed to fetch the new deployment.
Answer: B

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Updated: May 28, 2022