만약 아직도Amazon DOP-C01자격증참고서시험패스를 위하여 고군분투하고 있다면 바로 우리 Goldmile-Infobiz를 선택함으로 여러분의 고민을 날려버릴 수 잇습니다, 우리 Goldmile-Infobiz에서는 최고의 최신의 덤프자료를 제공 합으로 여러분을 도와Amazon DOP-C01자격증참고서인증자격증을 쉽게 취득할 수 있게 해드립니다. 만약Amazon DOP-C01자격증참고서인증시험으로 한층 업그레이드된 자신을 만나고 싶다면 우리Goldmile-Infobiz선택을 후회하지 않을 것입니다, 우리Goldmile-Infobiz과의 만남으로 여러분은 한번에 아주 간편하게Amazon DOP-C01자격증참고서시험을 패스하실 수 있으며,Amazon DOP-C01자격증참고서자격증으로 완벽한 스펙을 쌓으실 수 있습니다, 저희 Goldmile-Infobiz Amazon DOP-C01자격증참고서덤프로 자격증부자되세요. Goldmile-Infobiz의 Amazon DOP-C01자격증참고서덤프를 공부하면 100% Amazon DOP-C01자격증참고서 시험패스를 보장해드립니다. Goldmile-Infobiz 가 제공하는DOP-C01자격증참고서테스트버전과 문제집은 모두Amazon DOP-C01자격증참고서인증시험에 대하여 충분한 연구 끝에 만든 것이기에 무조건 한번에Amazon DOP-C01자격증참고서시험을 패스하실 수 있습니다.
Goldmile-Infobiz는Amazon인증DOP-C01자격증참고서시험패스로 꿈을 이루어주는 사이트입니다.
인테넷에 검색하면 Amazon DOP-C01 - AWS Certified DevOps Engineer - Professional자격증참고서시험덤프공부자료가 헤아릴수 없을 정도로 많이 검색됩니다. 우리 Goldmile-Infobiz사이트에서 제공되는Amazon인증DOP-C01 인증문제시험덤프의 일부분인 데모 즉 문제와 답을 다운받으셔서 체험해보면 우리Goldmile-Infobiz에 믿음이 갈 것입니다. 왜냐면 우리 Goldmile-Infobiz에는 베터랑의 전문가들로 이루어진 연구팀이 잇습니다, 그들은 it지식과 풍부한 경험으로 여러 가지 여러분이Amazon인증DOP-C01 인증문제시험을 패스할 수 있을 자료 등을 만들었습니다 여러분이Amazon인증DOP-C01 인증문제시험에 많은 도움이Amazon DOP-C01 인증문제될 것입니다.
Goldmile-Infobiz의 Amazon인증 DOP-C01자격증참고서덤프의 무료샘플을 이미 체험해보셨죠? Goldmile-Infobiz의 Amazon인증 DOP-C01자격증참고서덤프에 단번에 신뢰가 생겨 남은 문제도 공부해보고 싶지 않나요? Goldmile-Infobiz는 고객님들의 시험부담을 덜어드리기 위해 가벼운 가격으로 덤프를 제공해드립니다. Goldmile-Infobiz의 Amazon인증 DOP-C01자격증참고서로 시험패스하다 더욱 넓고 좋은곳으로 고고싱 하세요.
Amazon DOP-C01자격증참고서 - 여러분의 꿈을 이루어드리려고 말이죠.
Goldmile-Infobiz의Amazon인증 DOP-C01자격증참고서덤프는 인터넷에서 검색되는Amazon인증 DOP-C01자격증참고서시험공부자료중 가장 출중한 시험준비 자료입니다. Amazon인증 DOP-C01자격증참고서덤프를 공부하면 시험패스는 물론이고 IT지식을 더 많이 쌓을수 있어 일거량득입니다.자격증을 취득하여 자신있게 승진하여 연봉협상하세요.
Goldmile-Infobiz도움으로 후회없이 멋진 IT전문가로 거듭날수 있을것입니다. Goldmile-Infobiz 제공 Amazon DOP-C01자격증참고서시험덤프자료가 광범한 시험준비인사들의 찬양을 받은지 하루이틀일이 아닙니다.이렇게 많은 분들이Goldmile-Infobiz 제공 Amazon DOP-C01자격증참고서덤프로 시험을 통과하여 자격증을 취득하였다는것은Goldmile-Infobiz 제공 Amazon DOP-C01자격증참고서덤프가 믿을만한 존재라는것을 증명해드립니다.
DOP-C01 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
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
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