AWS-DevOps 시험자료 - AWS-DevOps 자격증문제 & AWS Certified DevOps Engineer Professional (DOP C01) - Omgzlook

또한 구매 후 일년무료 업데이트버전을 받을 수 있는 기회를 얻을 수 있습니다. Amazon AWS-DevOps시험자료인증시험패스는 아주 어렵습니다. 자기에맞는 현명한 학습자료선택은 성공을 내딛는 첫발입니다. Amazon인증 AWS-DevOps시험자료시험은 IT인증시험중 가장 인기있는 시험입니다. Omgzlook에서는 여러분이Amazon인증 AWS-DevOps시험자료시험을 한방에 패스하도록 실제시험문제에 대비한Amazon인증 AWS-DevOps시험자료덤프를 발췌하여 저렴한 가격에 제공해드립니다.시험패스 못할시 덤프비용은 환불처리 해드리기에 고객님께 아무런 페를 끼치지 않을것입니다. Omgzlook에서 제공하는 덤프로 여러분은 1000%시험을 패스하실수 있고Amazon AWS-DevOps시험자료자격증을 취득하실 수 있습니다.지금 바로 사이트에서Amazon AWS-DevOps시험자료덤프데모 즉 덤프의 일부 문제와 답을 다운 받으셔서 체험하실 수 있습니다.

Amazon인증 AWS-DevOps시험자료시험이 어려워 자격증 취득을 망설이는 분들이 많습니다.

여러분이 다른 사이트에서도Amazon인증AWS-DevOps - AWS Certified DevOps Engineer - Professional (DOP-C01)시험자료시험 관련덤프자료를 보셨을 것입니다 하지만 우리Omgzlook의 자료만의 최고의 전문가들이 만들어낸 제일 전면적이고 또 최신 업데이트일 것입니다.우리덤프의 문제와 답으로 여러분은 꼭 한번에Amazon인증AWS-DevOps - AWS Certified DevOps Engineer - Professional (DOP-C01)시험자료시험을 패스하실 수 있습니다. Amazon인증 AWS-DevOps 시험덤프공부시험은 중요한 IT인증자격증을 취득하는 필수시험과목입니다Amazon인증 AWS-DevOps 시험덤프공부시험을 통과해야만 자격증 취득이 가능합니다.자격증을 많이 취득하면 자신의 경쟁율을 높여 다른능력자에 의해 대체되는 일은 면할수 있습니다.Omgzlook에서는Amazon 인증AWS-DevOps 시험덤프공부시험대비덤프를 출시하여 여러분이 IT업계에서 더 높은 자리에 오르도록 도움드립니다. 편한 덤프공부로 멋진 IT전문가의 꿈을 이루세요.

우리의 덤프는 기존의 시험문제와 답과 시험문제분석 등입니다. Omgzlook에서 제공하는Amazon AWS-DevOps시험자료시험자료의 문제와 답은 실제시험의 문제와 답과 아주 비슷합니다. Omgzlook는 여러분이 한번에Amazon AWS-DevOps시험자료인증시험을 패스함을 보장 드립니다.

만약Amazon Amazon AWS-DevOps시험자료자격증이 있으시다면 여러분은 당연히 경쟁력향상입니다.

자신을 부단히 업그레이드하려면 많은 노력이 필요합니다. IT업종 종사자라면 국제승인 IT인증자격증을 취득하는것이 자신을 업그레이드하는것과 같습니다. Amazon인증 AWS-DevOps시험자료시험을 패스하여 원하는 자격증을 취득하려면Omgzlook의Amazon인증 AWS-DevOps시험자료덤프를 추천해드립니다. 하루빨리 덤프를 공부하여 자격증 부자가 되세요.

시험공부할 시간이 충족하지 않은 분들은Omgzlook 에서 제공해드리는Amazon 인증AWS-DevOps시험자료덤프로 시험준비를 하시면 자격증 취득이 쉬워집니다. 덤프를 구매하시면 일년무료 업데이트서비스도 받을수 있습니다.

AWS-DevOps 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 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: 4
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: 5
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

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Updated: May 28, 2022