Amazon 인증 AWS-DevOps Pdf시험이 너무 어려워서 시험 볼 엄두도 나지 않는다구요? Omgzlook 덤프만 공부하신다면 IT인증시험공부고민은 이젠 그만 하셔도 됩니다. Omgzlook에서 제공해드리는Amazon 인증 AWS-DevOps Pdf시험대비 덤프는 덤프제공사이트에서 가장 최신버전이여서 시험패스는 한방에 갑니다. Amazon 인증 AWS-DevOps Pdf시험뿐만 아니라 IT인증시험에 관한 모든 시험에 대비한 덤프를 제공해드립니다. Amazon인증 AWS-DevOps Pdf시험이나 다른 IT인증자격증시험이나Omgzlook제품을 사용해보세요.투자한 덤프비용보다 훨씬 큰 이득을 보실수 있을것입니다. Omgzlook 의 Amazon인증 AWS-DevOps Pdf덤프는Amazon인증 AWS-DevOps Pdf시험에 도전장을 던진 분들이 신뢰할수 있는 든든한 길잡이 입니다. Omgzlook에서 출시한 Amazon인증 AWS-DevOps Pdf덤프는 실제시험을 대비하여 연구제작된 멋진 작품으로서 Amazon인증 AWS-DevOps Pdf시험적중율이 최고입니다.
Amazon AWS-DevOps Pdf덤프가 업데이트되면 업데이트된 최신버전을 무료로 제공해드립니다.
AWS Certified DevOps Engineer AWS-DevOps Pdf - AWS Certified DevOps Engineer - Professional (DOP-C01) Omgzlook는 한국어로 온라인상담과 메일상담을 받습니다. 우리의Amazon AWS-DevOps 시험덤프공부자료로 자신만만한 시험 준비하시기를 바랍니다. 우리를 선택함으로 자신의 시간을 아끼는 셈이라고 생각하시면 됩니다.Amazon AWS-DevOps 시험덤프공부로 빠른시일내에 자격증 취득하시고AmazonIT업계중에 엘리트한 전문가되시기를 바랍니다.
우리는 정확한 문제와답만 제공하고 또한 그 어느 사이트보다도 빠른 업데이트로 여러분의 인증시험을 안전하게 패스하도록합니다.Amazon AWS-DevOps Pdf인증시험을 응시하려는 분들은 저희 문제와 답으로 안심하시고 자신 있게 응시하시면 됩니다. 우리Omgzlook 는 여러분이 100%Amazon AWS-DevOps Pdf인증시험을 패스할 수 있다는 것을 보장합니다. 우리Omgzlook 는 많은IT전문가들로 구성되었습니다.
Amazon인증Amazon AWS-DevOps Pdf시험은 국제적으로 승인해주는 IT인증시험의 한과목입니다.
Omgzlook의 경험이 풍부한 전문가들이Amazon AWS-DevOps Pdf인증시험관련자료들을 계획적으로 페펙트하게 만들었습니다.Amazon AWS-DevOps Pdf인증시험응시에는 딱 좋은 자료들입니다. Omgzlook는 최고의 덤프만 제공합니다. 응시 전Amazon AWS-DevOps Pdf인증시험덤프로 최고의 시험대비준비를 하시기 바랍니다.
Omgzlook의 Amazon인증 AWS-DevOps Pdf덤프가 있으면 시험패스가 한결 간편해집니다. Omgzlook의 Amazon인증 AWS-DevOps Pdf시험덤프는 고객님의 IT자격증을 취득하는 꿈을 실현시켜 드리는 시험패스의 지름길입니다.
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 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