AWS-DevOps-Engineer-Professional인기덤프 & AWS-DevOps-Engineer-Professional시험문제 - Amazon AWS-DevOps-Engineer-Professional시험패스 - Omgzlook

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. Amazon인증 AWS-DevOps-Engineer-Professional인기덤프시험패스는 고객님의 IT업계종사자로서의 전환점이 될수 있습니다.자격증을 취득하여 승진 혹은 연봉협상 방면에서 자신만의 위치를 지키고 더욱 멋진 IT인사로 거듭날수 있도록 고고싱할수 있습니다. Omgzlook의 Amazon인증 AWS-DevOps-Engineer-Professional인기덤프덤프는 시장에서 가장 최신버전으로서 시험패스를 보장해드립니다. 우리사이트가 다른 덤프사이트보다 우수한 점은 바로 자료들이 모두 전면적이고 적중률과 정확입니다.

AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional 하지만 성공하는 분들은 적습니다.

Omgzlook 에서 출시한 Amazon인증AWS-DevOps-Engineer-Professional - AWS Certified DevOps Engineer - Professional (DOP-C01)인기덤프시험덤프는 100%시험통과율을 보장해드립니다. 우선 우리Omgzlook 사이트에서Amazon AWS-DevOps-Engineer-Professional 예상문제관련자료의 일부 문제와 답 등 샘플을 제공함으로 여러분은 무료로 다운받아 체험해보실 수 있습니다.체험 후 우리의Omgzlook에 신뢰감을 느끼게 됩니다. Omgzlook에서 제공하는Amazon AWS-DevOps-Engineer-Professional 예상문제덤프로 시험 준비하시면 편안하게 시험을 패스하실 수 있습니다.

Omgzlook에서 발췌한 Amazon인증 AWS-DevOps-Engineer-Professional인기덤프덤프는 전문적인 IT인사들이 연구정리한 최신버전 Amazon인증 AWS-DevOps-Engineer-Professional인기덤프시험에 대비한 공부자료입니다. Amazon인증 AWS-DevOps-Engineer-Professional인기덤프 덤프에 있는 문제만 이해하고 공부하신다면Amazon인증 AWS-DevOps-Engineer-Professional인기덤프시험을 한방에 패스하여 자격증을 쉽게 취득할수 있을것입니다.

Amazon AWS-DevOps-Engineer-Professional인기덤프 - 결코 꿈은 이루어질것입니다.

Omgzlook의 인지도는 고객님께서 상상하는것보다 훨씬 높습니다.많은 분들이Omgzlook의 덤프공부가이드로 IT자격증 취득의 꿈을 이루었습니다. Omgzlook에서 출시한 Amazon인증 AWS-DevOps-Engineer-Professional인기덤프덤프는 IT인사들이 자격증 취득의 험난한 길에서 없어서는 안될중요한 존재입니다. Omgzlook의 Amazon인증 AWS-DevOps-Engineer-Professional인기덤프덤프를 한번 믿고 가보세요.시험불합격시 덤프비용은 환불해드리니 밑져봐야 본전 아니겠습니까?

Omgzlook덤프를 IT국제인증자격증 시험대비자료중 가장 퍼펙트한 자료로 거듭날수 있도록 최선을 다하고 있습니다. Amazon AWS-DevOps-Engineer-Professional인기덤프 덤프에는Amazon AWS-DevOps-Engineer-Professional인기덤프시험문제의 모든 범위와 유형을 포함하고 있어 시험적중율이 높아 구매한 분이 모두 시험을 패스한 인기덤프입니다.만약 시험문제가 변경되어 시험에서 불합격 받으신다면 덤프비용 전액 환불해드리기에 안심하셔도 됩니다.

AWS-DevOps-Engineer-Professional PDF DEMO:

QUESTION NO: 1
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: 2
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: 3
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: 4
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: 5
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

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Updated: May 28, 2022