在這個人才濟濟的社會裏，你不覺得壓力很大嗎，不管你的學歷有多高，它永遠不代表實力。學歷只是一個敲門磚，而實力確是你穩固自己地位的基石。Amazon的AWS-DevOps題庫分享考試認證就是一個流行的IT認證，很多人都想擁有它，有了它就可以穩固自己的職業生涯，Goldmile-Infobiz Amazon的AWS-DevOps題庫分享考試認證培訓資料是個很好的培訓工具，它可以幫助你成功的通過考試而獲得認證，有了這個認證，你將得到國際的認可及接受，那時的你再也不用擔心被老闆炒魷魚了。 我們為幫助考生通過他們第一次嘗試的AWS-DevOps題庫分享考試而感到自豪，在過去兩年里，AWS-DevOps題庫分享題庫的成功率絕對是令人驚嘆的，這是一個100%保證通過的學習資料。感謝我們的客戶，他們現在能夠在自己的職業生涯輝煌的發展，這些都歸功于Goldmile-Infobiz的考古題，值得信賴。 每個IT人士都在努力，不是為了升職就是為了加薪，這也是現代社會所形成的壓力的一種體現。
AWS Certified DevOps Engineer AWS-DevOps 快点击Goldmile-Infobiz的网站吧。
Goldmile-Infobiz的資深專家團隊研究出了針對Amazon AWS-DevOps - AWS Certified DevOps Engineer - Professional題庫分享考試的培訓教材。 其實想要通過考試是有竅門的。如果你使用了好的工具，不僅可以節省很多的時間，還能得到輕鬆通過考試的保證。
根據過去的考試題和答案的研究，Goldmile-Infobiz提供的Amazon AWS-DevOps題庫分享練習題和真實的考試試題有緊密的相似性。Goldmile-Infobiz是可以承諾您能100%通過你第一次參加的Amazon AWS-DevOps題庫分享 認證考試。
Amazon AWS-DevOps題庫分享 - 在這個時間很寶貴的時代，時間就是金錢。
眾所周知，AWS-DevOps題庫分享認證在IT認證中有很大的影響力，近年來，該認證已經成為許多成功IT公司的“進門”標準。想快速通過認證考試，可以選擇我們的Amazon AWS-DevOps題庫分享考古題。選擇我們Goldmile-Infobiz網站，您不僅可以通過熱門的AWS-DevOps題庫分享考試，而且還可以享受我們提供的一年免費更新服務。擁有Amazon AWS-DevOps題庫分享認證可以幫助在IT領域找工作的人獲得更好的就業機會，也將會為成功的IT事業做好鋪墊。
Goldmile-Infobiz Amazon的AWS-DevOps題庫分享考試培訓資料得到廣大考生的稱譽已經不是最近幾天的事情了，說明Goldmile-Infobiz Amazon的AWS-DevOps題庫分享考試培訓資料信得過，確實可以幫助廣大考生通過考試，讓考生沒有後顧之憂，Goldmile-Infobiz Amazon的AWS-DevOps題庫分享考試培訓資料暢銷和同行相比一直遙遙領先，率先得到廣大消費者的認可，口碑當然不用說，如果你要參加 Amazon的AWS-DevOps題庫分享考試，就趕緊進Goldmile-Infobiz這個網站，相信你一定會得到你想要的，不會錯過就不會後悔，如果你想成為最專業最受人矚目的IT專家，那就趕緊加入購物車吧。
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
題庫所有的問題和答案都與真實的考試相關，我們的Amazon ITIL ITIL-4-Foundation軟件版本的題庫可以讓您體驗真實的考試環境，支持多臺電腦安裝使用。 Goldmile-Infobiz Amazon的EMC D-UN-DY-23考題和答案反映的問題問EMC D-UN-DY-23考試。 Goldmile-Infobiz是一個專門為IT認證考試人員提供培訓工具的專業網站，也是一個能幫你通過HP HPE7-A03考試很好的選擇。 Huawei H19-338-ENU - 這不僅僅可以減輕你的心裏壓力，也可以讓你輕鬆通過考試。 SAP C-S4CPB-2508 - Goldmile-Infobiz的產品是由很多的資深IT專家利用他們的豐富的知識和經驗針對IT相關認證考試研究出來的。
Updated: May 28, 2022