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AWS-DevOps 過去問題 & Amazon AWS Certified DevOps Engineer Professional テストトレーニング - Royalholidayclubbed
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RoyalholidayclubbedにたくさんのIT専門人士がいって、弊社の問題集に社会のITエリートが認定されて、弊社の問題集は試験の大幅カーバして、合格率が１００％にまで達します。弊社のみたいなウエブサイトが多くても、彼たちは君の学習についてガイドやオンラインサービスを提供するかもしれないが、弊社はそちらにより勝ちます。Royalholidayclubbedは同業の中でそんなに良い地位を取るの原因は弊社のかなり正確な試験の練習問題と解答そえに迅速の更新で、このようにとても良い成績がとられています。 Royalholidayclubbedの専門家チームは彼らの経験と知識を利用して長年の研究をわたって多くの人は待ちに待ったAmazonのAWS-DevOps過去問題「AWS Certified DevOps Engineer - Professional」認証試験について教育資料が完成してから、大変にお客様に歓迎されます。Royalholidayclubbedの模擬試験は真実の試験問題はとても似ている専門家チームの勤労の結果としてとても値打ちがあります。 AmazonのAWS-DevOps過去問題試験に合格することは容易なことではなくて、良い訓練ツールは成功の保証でRoyalholidayclubbedは君の試験の問題を準備してしまいました。
AWS Certified DevOps Engineer AWS-DevOps 不思議でしょう。
AWS-DevOps - AWS Certified DevOps Engineer - Professional過去問題認定試験に合格することは難しいようですね。 Royalholidayclubbedは専門的で、たくさんの受験生のために、君だけのために存在するのです。それは正確的な試験の内容を保証しますし、良いサービスで、安い価格で営業します。
Royalholidayclubbedは君にとってベストな選択になります。ここには、私たちは君の需要に応じます。RoyalholidayclubbedのAmazonのAWS-DevOps過去問題問題集を購入したら、私たちは君のために、一年間無料で更新サービスを提供することができます。
Amazon AWS-DevOps過去問題 - 我々の誠意を信じてください。
あなたへの紹介よりあなたに自分で体験させたほうがいいと思います。弊社のRoyalholidayclubbedで無料でAmazonのAWS-DevOps過去問題ソフトのデモを直ちにダウンロードできます。AmazonのAWS-DevOps過去問題ソフトを利用してこのソフトはあなたの愛用するものになることを信じています。AmazonのAWS-DevOps過去問題ソフトはあなたにITという職業での人材に鳴らせます。
自分のIT業界での発展を希望したら、AmazonのAWS-DevOps過去問題試験に合格する必要があります。AmazonのAWS-DevOps過去問題試験はいくつ難しくても文句を言わないで、我々Royalholidayclubbedの提供する資料を通して、あなたはAmazonのAWS-DevOps過去問題試験に合格することができます。
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
我々Royalholidayclubbedがあなたに提供するAmazonのMicrosoft AI-102ソフトはこれを保証します。 NVIDIA NCP-AIN - 心はもはや空しくなく、生活を美しくなります。 あなたの購入してから、我々はあなたにAmazonのCompTIA CS0-003資料の更新情況をつど提供します。 短時間でMicrosoft PL-300試験に一発合格したいなら、我々社のAmazonのMicrosoft PL-300資料を参考しましょう。 弊社の信頼できるACAMS CAMS-JP問題集を使用したお客様はほとんど試験に合格しました。
Updated: May 28, 2022
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