Shobhadoshi提供的培訓資料和正式的考試內容是非常接近的。你經過我們短期的特殊培訓可以很快的掌握IT專業知識，為你參加考試做好準備。我們承諾將盡力幫助你通過Amazon AWS-DevOps題庫資源 認證考試。 在您決定購買我們產品之前，您可以先免費嘗試Amazon AWS-DevOps題庫資源 PDF版本的DEMO，此外，我們還提供全天24/7的在線支持，以便為客戶提供最好的便利服務。Shobhadoshi始終致力于為客戶提供高品質的學習資料，來提高考生一次性通過Amazon AWS-DevOps題庫資源考試的概率，這是考生獲取認證最佳捷徑。 我相信你對我們的產品將會很有信心。

AWS Certified DevOps Engineer AWS-DevOps 不相信嗎？Shobhadoshi的考古題就是這樣的資料。

AWS Certified DevOps Engineer AWS-DevOps題庫資源 - AWS Certified DevOps Engineer - Professional 只為成功找方法，不為失敗找藉口。 在IT行業中工作的人們現在最想參加的考試好像是Amazon的認證考試吧。作為被廣泛認證的考試，Amazon的考試越來越受大家的歡迎。

Shobhadoshi的IT專家團隊利用他們的經驗和知識不斷的提升考試培訓材料的品質，來滿足每位考生的需求，保證考生第一次參加Amazon AWS-DevOps題庫資源認證考試順利的通過，你們通過購買Shobhadoshi的產品總是能夠更快得到更新更準確的考試相關資訊，Shobhadoshi的產品的覆蓋面很大很廣，可以為很多參加IT認證考試的考生提供方便，而且準確率100%，能讓你安心的去參加考試，並通過獲得認證。

所以，Shobhadoshi的Amazon AWS-DevOps題庫資源考古題吧。

Shobhadoshi的AWS-DevOps題庫資源考古題有著讓你難以置信的命中率。這個考古題包含實際考試中可能出現的一切問題。因此，只要你好好學習這個考古題，通過AWS-DevOps題庫資源考試就會非常容易。作為Amazon的一項重要的考試，AWS-DevOps題庫資源考試的認證資格可以給你帶來很大的好處。所以你絕對不能因為失去這次可以成功通過考試的機會。Shobhadoshi承諾如果考試失敗就全額退款。為了你能順利通過AWS-DevOps題庫資源考試，趕緊去Shobhadoshi的網站瞭解更多的資訊吧。

有了最新詳細的題庫和答案，為您的AWS-DevOps題庫資源考試做好充分的準備，我們將保證您在考試中取得成功。在購買前，您還可以下載我們提供的AWS-DevOps題庫資源免費DEMO來試用，這是非常有效的學習資料。

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 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: 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