DOP-C01 최신기출자료 & Amazon DOP-C01 시험덤프자료 - AWS Certified DevOps Engineer Professional - Goldmile-Infobiz

만약 아직도Amazon DOP-C01최신기출자료인증시험 위하여 많은 시간과 정력을 소모하며 열심히 공부하고 있습니까? 아직도 어덯게하면Amazon DOP-C01최신기출자료인증시험을 빠르게 취득할 수 있는 방법을 못찿고 계십니까? 지금Goldmile-Infobiz에서Amazon DOP-C01최신기출자료인증시험을 안전하게 넘을 수 있도록 대책을 내드리겠습니다. 아주 신기한 효과가 있을 것입니다. Goldmile-Infobiz에서 출시한 Amazon인증 DOP-C01최신기출자료덤프는Amazon인증 DOP-C01최신기출자료시험에 대비하여 IT전문가들이 제작한 최신버전 공부자료로서 시험패스율이 100%입니다.Goldmile-Infobiz는 고품질 Amazon인증 DOP-C01최신기출자료덤프를 가장 친근한 가격으로 미래의 IT전문가들께 제공해드립니다. Goldmile-Infobiz의 소원대로 멋진 IT전문가도 거듭나세요. Goldmile-Infobiz 선택함으로Amazon DOP-C01최신기출자료인증시험통과는 물론Goldmile-Infobiz 제공하는 일년무료 업데이트서비스를 제공받을 수 있으며 Goldmile-Infobiz의 인증덤프로 시험에서 떨어졌다면 100% 덤프비용 전액환불을 약속 드립니다.

전문적으로Amazon인증DOP-C01최신기출자료시험을 응시하는 분들을 위하여 만들었습니다.

Amazon DOP-C01 - AWS Certified DevOps Engineer - Professional최신기출자료시험준비중이신 분이시라면Amazon DOP-C01 - AWS Certified DevOps Engineer - Professional최신기출자료한번 믿고 시험에 도전해보세요. Goldmile-Infobiz의 덤프선택으로Amazon DOP-C01 덤프내용인증시험에 응시한다는 것 즉 성공과 멀지 않았습니다. 여러분의 성공을 빕니다.

Goldmile-Infobiz의Amazon DOP-C01최신기출자료 인증시험덤프는 자주 업데이트 되고, 오래 되고 더 이상 사용 하지 않는 문제들은 바로 삭제해버리며 새로운 최신 문제들을 추가 합니다. 이는 응시자가 확실하고도 빠르게Amazon DOP-C01최신기출자료덤프를 마스터하고Amazon DOP-C01최신기출자료시험을 패스할수 있도록 하는 또 하나의 보장입니다. 매력만점Amazon DOP-C01최신기출자료덤프 강력 추천합니다.

Amazon DOP-C01최신기출자료 - 다른 사람이 없는 자격증을 내가 가지고 있다는것은 실력을 증명해주는 수단입니다.

네트웨크시대인 지금 인터넷에 검색하면 수많은Amazon인증 DOP-C01최신기출자료시험공부자료가 검색되는데 그중에서도Goldmile-Infobiz에서 출시한 Amazon인증 DOP-C01최신기출자료덤프가 가장 높은 인지도를 지니고 있습니다. Amazon인증 DOP-C01최신기출자료덤프에는Amazon인증 DOP-C01최신기출자료시험문제의 기출문제와 예상문제가 수록되어있어 덤프에 있는 문제만 잘 공부하시면 시험은 가볍게 패스가능합니다. Amazon인증 DOP-C01최신기출자료시험을 통과하여 자겨증취득하는 꿈에 더욱 가까이 다가가세요.

Goldmile-Infobiz의Amazon 인증DOP-C01최신기출자료시험대비 덤프로Amazon 인증DOP-C01최신기출자료시험을 패스하세요. IT인증자격증만 소지한다면 일상생활에서 많은 도움이 될것입니다.

DOP-C01 PDF DEMO:

QUESTION NO: 1
A DevOps Engineer manages a web application that runs on Amazon EC2 instances behind an
Application Load Balancer (ALB). The instances run in an EC2 Auto Scaling group across multiple
Availability Zones.
The Engineer needs to implement a deployment strategy that:
Launches a second fleet of instances with the same capacity as the original fleet.
Maintains the original fleet unchanged while the second fleet is launched.
Transitions traffic to the second fleet when the second fleet is fully deployed.
Terminates the original fleet automatically 1 hour after transition.
Which solution will satisfy these requirements?
A. Use AWS Elastic Beanstalk with the configuration set to Immutable. Create an .ebextension using the Resources key that sets the deletion policy of the ALB to 1 hour, and deploy the application.
B. Use an AWS CloudFormation template with a retention policy for the ALB set to 1 hour. Update the Amazon Route 53 record to reflect the new ALB.
C. Use AWS CodeDeploy with a deployment group configured with a blue/green deployment configuration. Select the option Terminate the original instances in the deployment group with a waiting period of 1 hour.
D. Use two AWS Elastic Beanstalk environments to perform a blue/green deployment from the original environment to the new one. Create an application version lifecycle policy to terminate the original environment in 1 hour.
Answer: D

QUESTION NO: 2
A company has developed an AWS Lambda function that handles orders received through an
API. The company is using AWS CodeDeploy to deploy the Lambda function as the final stage of a
CI/CD pipeline. A DevOps Engineer has notices there are intermittent failures of the ordering API for a few seconds after deployment. After some investigation, the DevOps Engineer believes the failures are due to database changes the CloudFormation stack for the application lambda function begins executing. How should the DevOps Engineer overcome this?
A. Add a BeforeAllowTraffic hook to the AppSpec file that tests and waits for any necessary database changes before traffic can flow to the new version of the Lambda function
B. Add an AfterAllowTraffic hook to the AppSpec file that forces traffic to wait for any pending database changes before allowing the new version of the Lambda function to respond
C. Add a ValidateService hook to the AppSpec file that inspects incoming traffic and rejects the payload if dependent services such as the database are not yet ready
D. Add a BeforeInstall hook to the AppSpec file that tests and waits for any necessary database changes before deploying the new version of the Lambda function
Answer: B

QUESTION NO: 3
A company hosts parts of a Python-based application using AWS Elastic Beanstalk. An Elastic
Beanstalk CLI is being used to create and update the environments. The Operations team detected an increase in requests in one of the Elastic Beanstalk environments that caused downtime overnight.
The team noted that the policy used for AWS Auto Scaling is NetworkOut. Based on load testing metrics, the team determined that the application needs to scale CPU utilization to improve the resilience of the environments. The team wants to implement this across all environments automatically.
Following AWS recommendations, how should this automation be implemented?
A. Using ebextensions, create a custom resource that modifies the AWSEBAutoScalingScaleUpPolicy and AWSEBAutoScalingScaleDownPolicy resources to use CPUUtilization as a metric to scale for the
Auto Scaling group.
B. Using ebextensions, place a script within the files key and place it in
/opt/elasticbeanstalk/hooks/appdeploy/pre to perform an API call to modify the scaling metric to
CPUUtilization for the Auto Scaling configuration. Use leader_only to place this script in only the first instance launched within the environment.
C. Using ebextensions, place a command within the container_commands key to perform an API call to modify the scaling metric to CPUUtilization for the Auto Scaling configuration. Use leader_only to execute this command in only the first instance launched within the environment.
D. Using ebextensions, configure the option setting MeasureName to CPUUtilization within the aws:autoscaling:trigger namespace.
Answer: D

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 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