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。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信息資訊考試培訓資料，有了它我就不用擔心我得考試了，Shobhadoshi Amazon的AWS-DevOps信息資訊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信息資訊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信息資訊考試培訓資料絕對是成功最好的伴侶。 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。難道你不想在你的工作生涯中做出一番輝煌的成績嗎？肯定希望那樣吧。 因此，Shobhadoshi可以给大家提供更多的优秀的参考书，以满足大家的需要。

AWS Certified DevOps Engineer AWS-DevOps Shobhadoshi就是你最好的選擇。

Shobhadoshi的AWS-DevOps - AWS Certified DevOps Engineer - Professional信息資訊考古題是一個保證你一次及格的資料。 最新版的Amazon AWS-DevOps 在線題庫題庫能幫助你通過考試，獲得證書，實現夢想，它被眾多考生實踐并證明，AWS-DevOps 在線題庫是最好的IT認證學習資料。在哪里可以找到最新的AWS-DevOps 在線題庫題庫問題以方便通過考試？Shobhadoshi已經發布了最新的Amazon AWS-DevOps 在線題庫考題，包括考試練習題和答案，是你不二的選擇。

它不單單可以用於IT認證考試的準備，還可以把它當做提升自身技能的一個工具。另外，如果你想更多地了=瞭解考試相關的知識，它也可以滿足你的願望。在這裏我想說明的是Shobhadoshi的資料的核心價值。

通過Amazon AWS-DevOps信息資訊認證考試好像是一件很難的事情。

我們都很清楚 Amazon AWS-DevOps信息資訊 認證考試在IT行業中的地位是駐足輕重的地位，但關鍵的問題是能夠拿到Amazon AWS-DevOps信息資訊的認證證書不是那麼簡單的。我們很清楚地知道網上缺乏有高品質的準確性高的相關考試資料。Shobhadoshi的考試練習題和答案可以為一切參加IT行業相關認證考試的人提供一切所急需的資料。它能時時刻刻地提供你們想要的資料，購買我們所有的資料能保證你通過你的第一次Amazon AWS-DevOps信息資訊認證考試。

選擇捷徑、使用技巧是為了更好地獲得成功。如果你想獲得一次就通過AWS-DevOps信息資訊認證考試的保障，那麼Shobhadoshi的AWS-DevOps信息資訊考古題是你唯一的、也是最好的選擇。

AWS-DevOps PDF DEMO:

QUESTION NO: 1
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: 2
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: 3
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: 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 DevOps Engineer must create a Linux AMI in an automated fashion. The newly created AMI identification must be stored in a location where other build pipelines can access the new identification programmatically What is the MOST cost-effective way to do this?
A. Build a pipeline in AWS CodePipeline to download and save the latest operating system Open
Virtualization Format (OVF) image to an Amazon S3 bucket, then customize the image using the guestfish utility. Use the virtual machine (VM) import command to convert the OVF to an AMI, and store the AMI identification output as an AWS Systems Manager parameter.
B. Create an AWS Systems Manager automation document with values instructing how the image should be created. Then build a pipeline in AWS CodePipeline to execute the automation document to build the AMI when triggered. Store the AMI identification output as a Systems Manager parameter.
C. Launch an Amazon EC2 instance and install Packer. Then configure a Packer build with values defining how the image should be created. Build a Jenkins pipeline to invoke the Packer build when triggered to build an AMI. Store the AMI identification output in an Amazon DynamoDB table.
D. Build a pipeline in AWS CodePipeline to take a snapshot of an Amazon EC2 instance running the latest version of the application. Then start a new EC2 instance from the snapshot and update the running instance using an AWS Lambda function. Take a snapshot of the updated instance, then convert it to an AMI. Store the AMI identification output in an Amazon DynamoDB table.
Answer: C

Shobhadoshi能夠幫你簡單地通過Amazon Microsoft AZ-204-KR認證考試。 對于擁有高命中率的Amazon Genesys GCX-GCD考古題，還在等什么，趕快下載最新的題庫資料來準備考試吧！ Amazon Amazon CLF-C02考試軟體是Shobhadoshi研究過去的真實的考題開發出來的。 所有考生都知道我們的Amazon Adobe AD0-E727考古題產品可以幫助您快速掌握考試知識點，無需參加其它的培訓課程，就可以保證您高分通過Adobe AD0-E727考試。 Oracle 1z0-1080-25 - 在這個競爭激烈的IT行業中，擁有一些認證證書是可以幫助你步步高升的。

Updated: May 28, 2022