上帝讓我成為一個有實力的人，而不是一個好看的布娃娃。當我選擇了IT行業的時候就已經慢慢向上帝證明了我的實力，可是上帝是個無法滿足的人，逼著我一直向上。這次通過 Amazon的AWS-DevOps-Engineer-Professional權威考題考試認證是我人生中的一大挑戰，所以我拼命的努力學習，不過不要緊，我購買了Shobhadoshi Amazon的AWS-DevOps-Engineer-Professional權威考題考試認證培訓資料，有了它，我就有了實力通過 Amazon的AWS-DevOps-Engineer-Professional權威考題考試認證，選擇Shobhadoshi培訓網站只說明，路在我們腳下，沒有人決定它的方向，擁有了Shobhadoshi Amazon的AWS-DevOps-Engineer-Professional權威考題考試培訓資料，就等於擁有了一個美好的未來。 Amazon的AWS-DevOps-Engineer-Professional權威考題考試認證是業界廣泛認可的IT認證，世界各地的人都喜歡Amazon的AWS-DevOps-Engineer-Professional權威考題考試認證，這項認證可以強化自己的職業生涯，使自己更靠近成功。談到Amazon的AWS-DevOps-Engineer-Professional權威考題考試,Shobhadoshi Amazon的AWS-DevOps-Engineer-Professional權威考題的考試培訓資料一直領先於其他的網站，因為Shobhadoshi有一支強大的IT精英團隊，他們時刻跟蹤著最新的 Amazon的AWS-DevOps-Engineer-Professional權威考題的考試培訓資料，用他們專業的頭腦來專注於 Amazon的AWS-DevOps-Engineer-Professional權威考題的考試培訓資料。 Shobhadoshi的AWS-DevOps-Engineer-Professional權威考題考古題的命中率很高，可以幫助大家一次通過考試。

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Shobhadoshi的AWS-DevOps-Engineer-Professional - AWS Certified DevOps Engineer - Professional權威考題考古題是最好的工具。 現在的IT行業競爭壓力不言而喻大家都知道，每個人都想通過IT認證來提升自身的價值，我也是，可是這種對我們來說是太難太難了，所學的專業知識早就忘了，惡補那是不現實的，還好我在互聯網上看到了Shobhadoshi Amazon的AWS-DevOps-Engineer-Professional 考試心得考試培訓資料，有了它我就不用擔心我得考試了，Shobhadoshi Amazon的AWS-DevOps-Engineer-Professional 考試心得考試培訓資料真的很好，它的內容覆蓋面廣，而且針對性強，絕對比我自己復習去準備考試好，如果你也是IT行業中的一員，那就趕緊將Shobhadoshi Amazon的AWS-DevOps-Engineer-Professional 考試心得考試培訓資料加入購物車吧，不要猶豫，不要徘徊，Shobhadoshi Amazon的AWS-DevOps-Engineer-Professional 考試心得考試培訓資料絕對是成功最好的伴侶。上帝是很公平的，每個人都是不完美的。

那麼，你就有必要時常提升自己了。在IT行業工作的你應該怎樣提升自己的水準呢？其實參加IT認證考試獲得認證資格是一個好方法。Amazon的認證考試資格是很重要的資格，因此參加Amazon考試的人變得越來越多了。

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AWS-DevOps-Engineer-Professional權威考題資格認證考試是非常熱門的一項考試，雖然很難通過，但是你只要找准了切入點，考試合格並不是什麼難題。Shobhadoshi就是你最好的選擇。Shobhadoshi命中率高達100%的資料，可以幫你解決AWS-DevOps-Engineer-Professional權威考題考試上的任何難題，只要你認真學習資料上的問題，相信一切難題都可以迎刃而解，你購買了考古題以後還可以得到一年的免費更新服務，一年之內，只要你想更新你擁有的資料，那麼你就可以得到最新版。快點來體驗一下吧。

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AWS-DevOps-Engineer-Professional PDF DEMO:

QUESTION NO: 1
According to Information Security Policy, changes to the contents of objects inside production
Amazon S3 bucket that contain encrypted secrets should only be made by a trusted group of administrators.
How should a DevOps Engineer create real-time, automated checks to meet this requirement?
A. Create a metrics filter for Amazon CloudWatch logs to check for Amazon S3 bucket-level permission changes and to check the IAM user's membership in an administrator's IAM role.
B. Create an AWS Lambda function that is triggered by Amazon S3 data events for object changes and that also checks the IAM user's membership in an administrator's IAM role.
C. Create a periodic AWS Config rule to query AWS CloudTrail logs for changes to the Amazon S3 bucket-level permissions and to check the IAM user's membership in an administrator's IAM role.
D. Create a periodic AWS Config rule to query Amazon S3 Logs for changes and to check the IAM user's membership in an administrator's IAM role.
Answer: B

QUESTION NO: 2
You currently have the following setup in AWS
1) An Elastic Load Balancer
2) Auto Scaling Group which launches EC2 Instances
3) AMIs with your code pre-installed
You want to deploy the updates of your app to only a certain number of users. You want to have a cost-effective solution. You should also be able to revert back quickly. Which of the below solutions is the most feasible one?
A. Create a full second stack of instances, cut the DNS over to the new stack of instances, and change the DNS back if a rollback is needed.
B. Create new AM Is with the new app. Then use the new EC2 instances in half proportion to the older instances.
C. Redeploy with AWS Elastic Beanstalk and Elastic Beanstalk versions. Use Route 53 Weighted
Round Robin records to adjust the proportion of traffic hitting the two ELBs
D. Create a second ELB, and a new Auto Scaling Group assigned a new Launch Configuration. Create a new AMI with the updated app. Use Route53 Weighted Round Robin records to adjust the proportion of traffic hitting the two ELBs.
Answer: D
Explanation
The Weighted Routing policy of Route53 can be used to direct a proportion of traffic to your application. The best option is to create a second CLB, attach the new Autoscaling Group and then use Route53 to divert the traffic.
Option B is wrong because just having EC2 instances running with the new code will not help.
Option C is wrong because Clastic beanstalk is good for development environments, and also there is no mention of having 2 environments where environment url's can be swapped.
Option D is wrong because you still need Route53 to split the traffic.
For more information on Route53 routing policies, please refer to the below link:
* http://docs.aws.amazon.com/Route53/latest/DeveloperGuide/routing-policy.html

QUESTION NO: 3
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: 4
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: 5
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

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Updated: May 28, 2022