如果你有夢想就去捍衛它。高爾基曾說過，信仰是一個偉大的情感，是一種創造的力量。我的夢想是成為一個最頂級的的IT專家，如果想就這樣努力達到我夢想的彼岸，我想那對我來說是遙遙無期的努力，成功可以走捷徑，只要你選擇得當，我利用了Shobhadoshi Amazon的AWS-DevOps-Engineer-Professional題庫資源考試培訓資料訓資料，才順利通過 Amazon的AWS-DevOps-Engineer-Professional題庫資源考試認證，Shobhadoshi Amazon的AWS-DevOps-Engineer-Professional題庫資源考試培訓資料是性價非常高的培訓資料，如果你和我一樣，也有一個IT夢，那就來找Shobhadoshi Amazon的AWS-DevOps-Engineer-Professional題庫資源考試培訓資料，它會幫助你實現你的夢想。 但是要通過Amazon AWS-DevOps-Engineer-Professional題庫資源認證考試不是那麼簡單。Shobhadoshi為了給正在為AWS-DevOps-Engineer-Professional題庫資源認證考試的備考的考生減輕壓力，節約時間和精力，專門研究了多種培訓工具，所以在Shobhadoshi你可以選擇適合你的快速培訓方式來通過考試。 現在，Amazon的AWS-DevOps-Engineer-Professional題庫資源考試就是一個非常受歡迎的考試。

AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional 當然在競爭激烈的IT行業裏面也不例外。

AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional題庫資源 - AWS Certified DevOps Engineer - Professional 在你的職業生涯中，你正面臨著挑戰嗎？你想提高自己的技能更好地向別人證明你自己嗎？你想得到更多的機會晉升嗎？那麼快報名參加IT認證考試獲得認證資格吧。 在Shobhadoshi的網站上你可以免費下載Shobhadoshi為你提供的關於Amazon AWS-DevOps-Engineer-Professional 認證考試解析 認證考試學習指南和部分練習題及答案作為嘗試。

如果你正在為如何通過AWS-DevOps-Engineer-Professional題庫資源考試而煩惱，這是沒有必要，通過最新的考試要點來提供覆蓋率很廣的Amazon AWS-DevOps-Engineer-Professional題庫資源擬真試題，幫助考生做好充足的考前準備。Shobhadoshi的目的在于如何提供可以確保考生通過認證的高品質題庫，我們的AWS-DevOps-Engineer-Professional題庫資源考試練習題和答案準確性高，問題覆蓋面大，不斷的更新和整編出高通過率的Amazon AWS-DevOps-Engineer-Professional題庫資源題庫，這也是我們對所有的考生提供的保障。

Amazon AWS-DevOps-Engineer-Professional題庫資源 - 有了目標就要勇敢的去實現。

你覺得成功很難嗎？覺得IT認證考試很難通過嗎？你現在正在為了Amazon 的AWS-DevOps-Engineer-Professional題庫資源認證考試而歎氣嗎？其實這完全沒有必要。IT認證考試其實沒有你想像的那麼神秘，我們可以利用適當的工具去戰勝它。只要你選對了工具，成功簡直就是一件輕而易舉的事情。你想知道什麼工具最好嗎？現在告訴你。Shobhadoshi的AWS-DevOps-Engineer-Professional題庫資源考古題是最好的工具。這個考古題為你搜集並解析了很多優秀的過去考試考過的問題，並且根據最新的大綱加入了很多可能出現的新問題。这是一个可以保证你一次通过考试的考古題。

上帝是很公平的，每個人都是不完美的。就好比我，平時不努力，老大徒傷悲。

AWS-DevOps-Engineer-Professional PDF DEMO:

QUESTION NO: 1
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: 2
An Application team is refactoring one of its internal tools to run in AWS instead of on- premises hardware.
All of the code is currently written in Python and is standalone. There is also no external state store or relational database to be queried.
Which deployment pipeline incurs the LEAST amount of changes between development and production?
A. Developers should use their native Python environment. When Dependencies are changed and a new container is ready, use AWS CodePipeline and AWS CodeBuild to perform functional tests and then upload the new container to the Amazon ECR. Use AWS CloudFormation with the custom container to deploy the new Amazon ECS.
B. Developers should use Docker for local development. Use AWS SMS to import these containers as
AMIs for Amazon EC2 whenever dependencies are updated. Use AWS CodePipeline to test new code changes against the Auto Scaling group.
C. Developers should use their native Python environment. When Dependencies are changed and a new code is ready, use AWS CodePipeline and AWS CodeBuild to perform functional tests and then upload the new container to the Amazon ECR. Use CodePipeline and CodeBuild with the custom container to test new code changes inside AWS Elastic Beanstalk
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 is migrating an application to AWS that runs on a single Amazon EC2 instance.
Because of licensing limitations, the application does not support horizontal scaling. The application will be using Amazon Aurora for its database.
How can the DevOps Engineer architect automated healing to automatically recover from EC2 and
Aurora failures, in addition to recovering across Availability Zones (AZs), in the MOST cost-effective manner?
A. Create an EC2 instance and enable instance recovery. Create an Aurora database with a read replica in a second AZ, and promote it to a primary database instance if the primary database instance fails.
B. Create an Amazon CloudWatch Events rule to trigger an AWS Lambda function to start a new EC2 instance in an available AZ when the instance status reaches a failure state. Create an Aurora database with a read replica in a second AZ, and promote it to a primary database instance when the primary database instance fails.
C. Create an EC2 Auto Scaling group with a minimum and maximum instance count of 1, and have it span across AZs. Use a single-node Aurora instance.
D. Assign an Elastic IP address on the instance. Create a second EC2 instance in a second AZ. Create an Amazon CloudWatch Events rule to trigger an AWS Lambda function to move the Elastic IP address to the second instance when the first instance fails. Use a single-node Aurora instance.
Answer: B

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