我們Goldmile-Infobiz Amazon的AWS-DevOps-Engineer-Professional新版題庫上線考題是的100%通過驗證和測試的，是通過認證的專家，我們Goldmile-Infobiz Amazon 的AWS-DevOps-Engineer-Professional新版題庫上線的考試練習題及答案是通過實踐檢驗的軟體和它最終的認證準備培訓工具。在Goldmile-Infobiz中，你會發現最好的認證準備資料，這些資料包括練習題及答案，我們的資料有機會讓你實踐問題，最終實現自己的目標通過 Amazon的AWS-DevOps-Engineer-Professional新版題庫上線考試認證。 在這個都把時間看得如此寶貴的社會裏，選擇Goldmile-Infobiz來幫助你通過Amazon AWS-DevOps-Engineer-Professional新版題庫上線 認證考試是划算的。如果你選擇了Goldmile-Infobiz，我們承諾我們將盡力幫助你通過考試，並且還會為你提供一年的免費更新服務。 我們承諾，使用我們Goldmile-Infobiz Amazon的AWS-DevOps-Engineer-Professional新版題庫上線的考試培訓資料，確保你在你的第一次嘗試中通過測試，如果你準備考試使用我們Goldmile-Infobiz Amazon的AWS-DevOps-Engineer-Professional新版題庫上線考試培訓資料，我們保證你通過，如果沒有通過測試，我們給你退還購買的全額退款，送你一個相同價值的免費產品。
AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional IT考試的認證資格得到了國際社會的廣泛認可。
我們都是平平凡凡的普通人，有時候所學的所掌握的東西沒有那麼容易徹底的吸收，所以經常忘記，當我們需要時就拼命的補習，當你看到Goldmile-Infobiz Amazon的AWS-DevOps-Engineer-Professional - AWS Certified DevOps Engineer - Professional新版題庫上線考試培訓資料是，你才明白這是你必須要購買的，它可以讓你毫不費力的通過考試，也可以讓你不那麼努力的補習，相信Goldmile-Infobiz，相信它讓你看到你的未來美好的樣子，再苦再難，只要Goldmile-Infobiz還在，總會找到希望的光明。 如果你取得了AWS-DevOps-Engineer-Professional 認證資料認證考試的資格，那麼你就可以更好地完成你的工作。雖然這個考試很難，但是你準備考試時不用那麼辛苦。
取得了AWS-DevOps-Engineer-Professional新版題庫上線的認證資格以後，你還可以參加其他的IT認證考試。只要有Goldmile-Infobiz的考古題在手，什么考试都不是问题。除了Amazon 的AWS-DevOps-Engineer-Professional新版題庫上線考試，最近最有人氣的還有Cisco，IBM，HP等的各類考試。
Amazon AWS-DevOps-Engineer-Professional新版題庫上線 - 这个考古題是由Goldmile-Infobiz提供的。
彰顯一個人在某一領域是否成功往往體現在他所獲得的資格證書上，在IT行業也不外如是。所以現在很多人都選擇參加AWS-DevOps-Engineer-Professional新版題庫上線資格認證考試來證明自己的實力。但是要想通過AWS-DevOps-Engineer-Professional新版題庫上線資格認證卻不是一件簡單的事。不過只要你找對了捷徑，通過考試也就變得容易許多了。這就不得不推薦Goldmile-Infobiz的考試考古題了，它可以讓你少走許多彎路，節省時間幫助你考試合格。
AWS-DevOps-Engineer-Professional新版題庫上線題庫資料中的每個問題都由我們專業人員檢查審核，為考生提供最高品質的考古題。如果您希望在短時間內獲得Amazon AWS-DevOps-Engineer-Professional新版題庫上線認證，您將永遠找不到比Goldmile-Infobiz更好的產品了。
AWS-DevOps-Engineer-Professional PDF DEMO:
QUESTION NO: 1
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
QUESTION NO: 2
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: 3
Am Amazon EC2 instance with no internet access is running in a Virtual Private Cloud (VPC) and needs to download an object from a restricted Amazon S3 bucket. When the DevOps Engineer tries to gain access to the object, an Access Denied error is received.
What are the possible causes for this error? (Select THREE.)
A. There is an error in the S3 bucket policy.
B. S3 versioning is enabled.
C. The object has been moved to Amazon Glacier.
D. There is an error in the VPC endpoint policy.
E. The S3 bucket default encryption is enabled.
F. There is an error in the IAM role configuration.
Answer: A,D,F
QUESTION NO: 4
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: 5
A DevOps Engineer is using AWS CodeDeploy across a fleet of Amazon EC2 instances in an
EC2 Auto Scaling group. The associated CodeDeploy deployment group, which is integrated with EC2
Auto Scaling, is configured to perform in-place deployments with CodeDeployDefault.OneAtATime.
During an ongoing new deployment, the Engineer discovers that, although the overall deployment finished successfully, two out of five instances have the previous application revision deployed. The other three instances have the newest application revision.
What is likely causing this issue?
A. A failed AfterInstall lifecycle event hook caused the CodeDeploy agent to roll back to the previous version on the affected instances.
B. EC2 Auto Scaling launched two new instances while the new deployment had not yet finished, causing the previous version to be deployed on the affected instances.
C. The CodeDeploy agent was not installed in two affected instances.
D. The two affected instances failed to fetch the new deployment.
Answer: B
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Updated: May 28, 2022