Shobhadoshi는Amazon AWS-DevOps-Engineer-Professional시험응시인증시험의 촉매제 같은 사이트입니다.Amazon AWS-DevOps-Engineer-Professional시험응시인증시험 관연 덤프가 우리Shobhadoshi에서 출시되었습니다. 여러분이Amazon AWS-DevOps-Engineer-Professional시험응시인증시험으로 나 자신과 자기만의 뛰어난 지식 면을 증명하고 싶으시다면 우리 Shobhadoshi의Amazon AWS-DevOps-Engineer-Professional시험응시덤프자료가 많은 도움이 될 것입니다. 다른 사이트에서도Amazon AWS-DevOps-Engineer-Professional시험응시인증시험관련 자료를 보셨다고 믿습니다.하지만 우리 Shobhadoshi의 자료는 차원이 다른 완벽한 자료입니다.100%통과 율은 물론Shobhadoshi을 선택으로 여러분의 직장생활에 더 낳은 개변을 가져다 드리며 ,또한Shobhadoshi를 선택으로 여러분은 이미 충분한 시험준비를 하였습니다.우리는 여러분이 한번에 통과하게 도와주고 또 일년무료 업데이트서비스도 드립니다. Amazon인증AWS-DevOps-Engineer-Professional시험응시시험패는Shobhadoshi제품으로 고고고!

AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional Shobhadoshi의 자료는 시험대비최고의 덤프로 시험패스는 문제없습니다.

거침없이 발전해나가는 IT업계에서 자신만의 자리를 동요하지 않고 단단히 지킬려면Amazon인증 AWS-DevOps-Engineer-Professional - AWS Certified DevOps Engineer - Professional시험응시시험은 무조건 패스해야 합니다. 우리는 여러분이 시험패스는 물론 또 일년무료 업데이트서비스를 제공합니다.만약 시험에서 실패했다면 우리는 덤프비용전액 환불을 약속 드립니다.하지만 이런 일은 없을 것입니다.우리는 우리덤프로 100%시험패스에 자신이 있습니다. 여러분은 먼저 우리 Shobhadoshi사이트에서 제공되는Amazon인증AWS-DevOps-Engineer-Professional 시험자료시험덤프의 일부분인 데모 즉 문제와 답을 다운받으셔서 체험해보실 수 잇습니다.

성공을 위해 길을 찾고 실패를 위해 구실을 찾지 않는다는 말이 있습니다. Amazon인증 AWS-DevOps-Engineer-Professional시험응시시험이 영어로 출제되어 시험패스가 너무 어렵다 혹은 회사다니느라 공부할 시간이 없다는 등등은 모두 공부하기싫은 구실에 불과합니다. Shobhadoshi의 Amazon인증 AWS-DevOps-Engineer-Professional시험응시덤프만 마련하면 실패를 성공으로 바꿀수 있는 기적을 체험할수 있습니다.제일 간단한 방법으로 가장 어려운 문제를 해결해드리는것이Shobhadoshi의 취지입니다.

Amazon인증 Amazon AWS-DevOps-Engineer-Professional시험응시덤프뿐만아니라 IT인증시험에 관한 모든 덤프를 제공해드립니다.

Shobhadoshi에서는 소프트웨어버전과 PDF버전 두가지버전으로 덤프를 제공해드립니다.PDF버전은 구매사이트에서 무료샘플을 다움받아 체험가능합니다. 소프트웨어버전은실력테스트용으로 PDF버전공부후 보조용으로 사용가능합니다. Amazon 인증AWS-DevOps-Engineer-Professional시험응시덤프 무료샘플을 다운받아 체험해보세요.

경쟁율이 심한 IT시대에Amazon AWS-DevOps-Engineer-Professional시험응시인증시험을 패스하여 자격증을 취득함으로 IT업계 관련 직종에 종사하고자 하는 분들에게는 아주 큰 가산점이 될수 있고 자신만의 위치를 보장할수 있으며 더욱이는 한층 업된 삶을 누릴수 있을수도 있습니다. Amazon AWS-DevOps-Engineer-Professional시험응시 덤프로 Amazon AWS-DevOps-Engineer-Professional시험응시 시험에서 실패하면 덤프비용을 보상해드리기에 안심하고 시험준비하셔야 합니다.

AWS-DevOps-Engineer-Professional 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 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: 3
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: 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