我們的Shobhadoshi的資深專家正在不斷地提升我們的培訓資料的品質。Shobhadoshi就是一個專門為IT專業人士提供相關認證考試的資訊來源的網站。通過很多使用過Shobhadoshi的產品的人反映，Shobhadoshi被證明是最好的資訊來源網站。 你對Shobhadoshi瞭解多少呢？你有沒有用過Shobhadoshi的IT考試考古題，或者你有沒有聽到周圍的人提到過Shobhadoshi的考試資料呢？作為IT認證考試的相關資料的專業提供者，Shobhadoshi肯定是你見過的最好的網站。為什麼可以這麼肯定呢？因為再沒有像Shobhadoshi這樣的網站，既可以提供給你最好的資料保證你通過考試，又可以提供給你最優質的服務，讓你100%地滿意。 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 有了目標就要勇敢的去實現。

Shobhadoshi的AWS-DevOps-Engineer-Professional - AWS Certified DevOps Engineer - Professional最新題庫資源考古題是最好的工具。 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。

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。

Amazon AWS-DevOps-Engineer-Professional最新題庫資源 - 這是一個可以真正幫助到大家的網站。

AWS-DevOps-Engineer-Professional最新題庫資源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最新題庫資源考試上的任何難題，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。

用過以後你就知道AWS-DevOps-Engineer-Professional最新題庫資源考古題的品質了，因此趕緊試一下吧。問題有提供demo，點擊Shobhadoshi的網站去下載吧。

AWS-DevOps-Engineer-Professional PDF DEMO:

QUESTION NO: 1
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: 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 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: 4
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: 5
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

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Updated: May 28, 2022