Shobhadoshi는Shobhadoshi의Amazon인증 DOP-C01시험덤프자료덤프자료를 공부하면 한방에 시험패스하는것을 굳게 약속드립니다. Shobhadoshi의Amazon인증 DOP-C01시험덤프자료덤프로 공부하여 시험불합격받으면 바로 덤프비용전액 환불처리해드리는 서비스를 제공해드리기에 아무런 무담없는 시험준비공부를 할수 있습니다. 네트워크 전성기에 있는 지금 인터넷에서Amazon 인증DOP-C01시험덤프자료시험자료를 많이 검색할수 있습니다. 하지만 왜Shobhadoshi덤프자료만을 믿어야 할가요? Shobhadoshi덤프자료는 실제시험문제의 모든 유형에 근거하여 예상문제를 묶어둔 문제은행입니다.시험적중율이 거의 100%에 달하여Amazon 인증DOP-C01시험덤프자료시험을 한방에 통과하도록 도와드립니다. 최근 Amazon인증 DOP-C01시험덤프자료시험이 IT업계에서 제일 높은 인지도를 가지고 있습니다.바라만 보지 마시고Amazon인증 DOP-C01시험덤프자료시험에 도전해보세요.

AWS Certified DevOps Engineer DOP-C01 Shobhadoshi덤프는 고객님께서 필요한것이 무엇인지 너무나도 잘 알고 있답니다.

AWS Certified DevOps Engineer DOP-C01시험덤프자료 - AWS Certified DevOps Engineer - Professional IT인증시험을 패스하여 자격증을 취득하려는 분은Shobhadoshi제품에 주목해주세요. 학원공부나 다른 시험자료가 필요없이Shobhadoshi의 Amazon인증 DOP-C01 시험덤프자료덤프만 공부하시면Amazon인증 DOP-C01 시험덤프자료시험을 패스하여 자격증을 취득할수 있습니다. Shobhadoshi의 Amazon인증 DOP-C01 시험덤프자료덤프를 구매하시고 공부하시면 밝은 미래를 예약한것과 같습니다.

Amazon DOP-C01시험덤프자료 시험준비를 어떻게 해야할지 고민중이세요? 이 블로그의 이 글을 보는 순간 고민은 버리셔도 됩니다. Shobhadoshi는 IT업계의 많은 분들께Amazon DOP-C01시험덤프자료시험을 패스하여 자격증을 취득하는 목표를 이루게 도와드렸습니다. 시험을 쉽게 패스한 원인은 저희 사이트에서 가장 적중율 높은 자료를 제공해드리기 때문입니다.덤프구매후 1년무료 업데이트를 제공해드립니다.

Amazon DOP-C01시험덤프자료 - 구매전 덤프구매사이트에서 DEMO부터 다운받아 덤프의 일부분 문제를 체험해보세요.

Shobhadoshi는 여러분이 원하는 최신 최고버전의 Amazon 인증DOP-C01시험덤프자료덤프를 제공합니다. Amazon 인증DOP-C01시험덤프자료덤프는 IT업계전문가들이 끊임없는 노력과 지금까지의 경험으로 연구하여 만들어낸 제일 정확한 시험문제와 답들로 만들어졌습니다. Shobhadoshi의 문제집으로 여러분은 충분히 안전이 시험을 패스하실 수 있습니다. 우리 Shobhadoshi 의 문제집들은 모두 100%합격율을 자랑하며 Shobhadoshi의 제품을 구매하였다면 Amazon 인증DOP-C01시험덤프자료시험패스와 자격증 취득은 근심하지 않으셔도 됩니다. 여러분은 IT업계에서 또 한층 업그레이드 될것입니다.

현재Amazon DOP-C01시험덤프자료인증시험을 위하여 노력하고 있습니까? 빠르게Amazon인증 DOP-C01시험덤프자료시험자격증을 취득하고 싶으시다면 우리 Shobhadoshi 의 덤프를 선택하시면 됩니다,. Shobhadoshi를 선택함으로Amazon DOP-C01시험덤프자료인증시험패스는 꿈이 아닌 현실로 다가올 것입니다,

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 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