AWS-DevOps 최신시험후기 - AWS-DevOps 학습자료 & AWS Certified DevOps Engineer Professional (DOP C01) - Omgzlook

Omgzlook는 여러분이 빠른 시일 내에Amazon AWS-DevOps최신시험후기인증시험을 효과적으로 터득할 수 있는 사이트입니다.Amazon AWS-DevOps최신시험후기인증 자격증은 일상생활에 많은 개변을 가져올 수 있는 시험입니다.Amazon AWS-DevOps최신시험후기인증 자격증을 소지한 자들은 당연히 없는 자들보다 연봉이 더 높을 거고 승진기회도 많아지며 IT업계에서의 발전도 무궁무진합니다. 국제공인자격증을 취득하여 IT업계에서 자신만의 자리를 잡고 싶으신가요? 자격증이 수없이 많은데Amazon AWS-DevOps최신시험후기 시험패스부터 시작해보실가요? 100%합격가능한 Amazon AWS-DevOps최신시험후기덤프는Amazon AWS-DevOps최신시험후기시험문제의 기출문제와 예상문제로 되어있는 퍼펙트한 모음문제집으로서 시험패스율이 100%에 가깝습니다. Amazon인증AWS-DevOps최신시험후기시험은Omgzlook 표Amazon인증AWS-DevOps최신시험후기덤프자료로 시험준비를 하시면 시험패스는 아주 간단하게 할수 있습니다.

AWS Certified DevOps Engineer AWS-DevOps 구매하기전 PDF버전 무료샘플을 다운받아 공부하세요.

AWS Certified DevOps Engineer AWS-DevOps최신시험후기 - AWS Certified DevOps Engineer - Professional (DOP-C01) Omgzlook는 여러분의 꿈을 이루어줄 뿐만 아니라 일년무료 업뎃서비스도 따릅니다. Omgzlook의Amazon인증 AWS-DevOps 시험문제집덤프를 공부하시면 한방에 시험을 패스하는건 문제가 아닙니다. Omgzlook의Amazon인증 AWS-DevOps 시험문제집덤프는 시험적중율 최고의 인지도를 넓히 알리고 있습니다.저희가 제공한 시험예상문제로 시험에 도전해보지 않으실래요? Amazon인증 AWS-DevOps 시험문제집덤프를 선택하시면 성공의 지름길이 눈앞에 다가옵니다.

하지만 지금은 많은 방법들로 여러분의 부족한 면을 보충해드릴 수 있으며 또 힘든 IT시험도 패스하실 수 있습니다. 혹은 여러분은 전문적인 IT관련지식을 터득하자들보다 더 간단히 더 빨리 시험을 패스하실 수 있습니다. 많은 분들이 고난의도인 IT관련인증시험을 응시하고 싶어 하는데 이런 시험은 많은 전문적인 IT관련지식이 필요합니다.

Amazon AWS-DevOps최신시험후기 - Omgzlook의 인지도는 업계에 널리 알려져 있습니다.

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승진이나 연봉인상을 꿈꾸면 승진과 연봉인상을 시켜주는 회사에 능력을 과시해야 합니다. IT인증시험은 국제적으로 승인해주는 자격증을 취득하는 시험입니다.

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 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

QUESTION NO: 5
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

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Updated: May 28, 2022