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Steve Miller Steve Miller

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AWS-DevOps-Engineer-Professional 100％시험패스자료 & AWS-DevOps-Engineer-Professional인기자격증시험덤프최신자료

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AWS-Devops 인증 시험은 지속적인 통합 및 제공, 인프라 자동화, 모니터링 및 로깅, 보안 및 규정 준수를 포함한 광범위한 주제를 다룹니다. 응시자는 Codepipeline, CodeDeploy, Elastic Beanstalk, Cloudformation 및 CloudWatch와 같은 AWS 서비스에 대해 깊은 이해와 Python 및 Ruby와 같은 스크립팅 언어의 숙련도를 깊이 이해해야합니다. 인증 시험은 DevOps에서 최소 2 년의 경험을 가진 숙련 된 IT 전문가와 AWS 클라우드 컴퓨팅 서비스에 대한 친숙 함을위한 것입니다. 이 인증을 달성하면 DevOps 관행 및 AWS 기술에 대한 높은 수준의 전문 지식을 보여 주므로 경력 발전과 수익 잠재력을 높일 수 있습니다.

>> AWS-DevOps-Engineer-Professional 100％시험패스 자료 <<

시험대비 AWS-DevOps-Engineer-Professional 100％시험패스 자료 공부

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최신 AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional 무료샘플문제 (Q368-Q373):

질문 # 368
Your company needs to automate 3 layers of a large cloud deployment. You want to be able to track this
deployment's evolution as it changes over time, and carefully control any alterations. What is a good way
to automate a stack to meet these requirements?

A. Use OpsWorks Stacks with three layers to model the layering in your stack.
B. Use CloudFormation Nested Stack Templates, with three child stacks to represent the three logical
layers of your cloud.
C. Use Elastic Beanstalk Linked Applications, passing the important DNS entires between layers using
the metadata interface.
D. Use AWS Config to declare a configuration set that AWS should roll out to your cloud.

정답：B

설명：
Only CloudFormation allows source controlled, declarative templates as the basis for stack automation.
Nested Stacks help achieve clean separation of layers while simultaneously providing a method to control
all layers at once when needed.
Reference:
https://blogs.aws.amazon.com/application-management/post/Tx1T9JYQOS8AB9I/Use-Nested-Stacks-to-
Create-Reusable-Templates-and-Support-Role-Specialization

질문 # 369
When specifying multiple variable names and values for a playbook on the command line, which of the following is the correct syntax?

A. ansible-playbook playbook.yml -e `host="foo" pkg="bar"'
B. ansible-playbook playbook.yml --extra-vars "host=foo", "pkg=bar"
C. ansible-playbook playbook.yml -e `host: "foo", pkg: "bar"'
D. ansible-playbook playbook.yml -e `host="foo"' -e `pkg="bar"'

정답：A

설명：
Variables are passed in a single command line parameter, `-e' or `--extra-vars'. They are sent as a single string to the playbook and are space delimited. Because of the space delimeter, variable values must be encapsulated in quotes. Additionally, proper JSON or YAML can be passed, such as: `-e `{"key": "name", "array": ["value1", "value2"]}'.
Reference:
http://docs.ansible.com/ansible/playbooks_variables.html#passing-variables-on-the-command- line

질문 # 370
A DevOps Engineer is setting up a container-based architecture. The Engineer has decided to use AWS CloudFormation to automatically provision an Amazon ECS cluster and an Amazon EC2 Auto Scaling group to launch the EC2 container instances. After successfully creating the CloudFormation stack, the Engineer noticed that, even though the ECS cluster and the EC2 instances were created successfully and the stack finished the creation, the EC2 instances were associating with a different cluster.
How should the DevOps Engineer update the CloudFormation template to resolve this issue?

A. Reference the ECS cluster in the AWS::EC2::Instance resource of the UserData property.
B. Reference the ECS cluster in the AWS::CloudFormation::CustomResource resource to trigger an AWS Lambda function that registers the EC2 instances with the appropriate ECS cluster.
C. Reference the EC2 instances in the AWS::ECS::Cluster resource and reference the ECS cluster in the AWS::ECS::Service resource.
D. Reference the ECS cluster in the AWS::AutoScaling::LaunchConfiguration resource of the UserData property.

정답：D

설명：
Explanation/Reference: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-as- launchconfig.html

질문 # 371
A web application for healthcare services runs on Amazon EC2 instances behind an ELB Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones. A DevOps Engineer must create a mechanism in which an EC2 instance can be taken out of production so its system logs can be analyzed for issues to quickly troubleshot problems on the web tier. How can the Engineer accomplish this task while ensuring availability and minimizing downtime?

A. Implement EC2 Auto Scaling groups with lifecycle hooks. Create an AWS Lambda function that can modify an EC2 instance lifecycle hook into a standby state, extract logs from the instance through a remote script execution, and place them in an Amazon S3 bucket for analysis.
B. Terminate the EC2 instances manually. The Auto Scaling will upload all log information to CloudWatch Logs for analysis prior to instance termination.
C. Implement Amazon CloudWatch Events rules. Create an AWS Lambda function that can react to an instance termination to deploy the CloudWatch Logs agent to upload the system and access logs to Amazon S3 for analysis.
D. Implement EC2 Auto Scaling groups cooldown periods. Use EC2 instance metadata to determine the instance state, and an AWS Lambda function to snapshot Amazon EBS volumes to preserve system logs.

정답：A

설명：
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-enter-exit-standby.html

질문 # 372
Your company is using an Autoscaling Group to scale out and scale in instances. There is an expectation of a peak in traffic every Monday at 8am. The traffic is then expected to come down before the weekend on Friday
5pm. How should you configure Autoscaling in this?

A. Create a scheduled policy to scale up on Fridayand scale down on Monday
B. Createdynamic scaling policies to scale up on Monday and scale down on Friday
C. Manuallyadd instances to the Autoscaling Group on Monday and remove them on Friday
D. CreateascheduledpolicytoscaleuponMondayandscaledownonFriday

정답：D

설명：
Explanation
The AWS Documentation mentions the following for Scheduled scaling
Scaling based on a schedule allows you to scale your application in response to predictable load changes. For example, every week the traffic to your web application starts to increase on Wednesday, remains high on Thursday, and starts to decrease on Friday. You can plan your scaling activities based on the predictable traffic patterns of your web application.
For more information on scheduled scaling for Autoscaling, please visit the below URL
* http://docs.aws.amazon.com/autoscaling/latest/userguide/sched
ule_time.html

질문 # 373
......

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