AWS-DevOps-Engineer-Professional 出題範囲 - AWS-DevOps-Engineer-Professional 日本語版テキスト内容 & AWS Certified DevOps Engineer Professional - Goldmile-Infobiz

Goldmile-Infobizが提供した商品をご利用してください。もし失敗したら、全額で返金を保証いたします。Goldmile-Infobizの問題集はIT専門家がAmazonのAWS-DevOps-Engineer-Professional出題範囲「AWS Certified DevOps Engineer - Professional」認証試験について自分の知識と経験を利用して研究したものでございます。 より多くの人々は複数の資格を取得するために多くのAWS-DevOps-Engineer-Professional出題範囲試験を受験したいと思っています。もちろん、このようにすればあなたがすごい技能を身につけていることが証明されることができます。 AmazonのAWS-DevOps-Engineer-Professional出題範囲のオンラインサービスのスタディガイドを買いたかったら、Goldmile-Infobizを買うのを薦めています。

AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional 心配なく我々の真題を利用してください。

AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional出題範囲 - AWS Certified DevOps Engineer - Professional 試験に失敗したら全額で返金するという承諾があるとは言え、弊社の商品を利用したほとんどの受験生は試験に合格しました。 Goldmile-InfobizのAWS-DevOps-Engineer-Professional 認定試験トレーリング問題集を使用した後、あなたはたくさんののAWS-DevOps-Engineer-Professional 認定試験トレーリング試験資料を勉強するとか、専門のトレーニング機構に参加するとかなど必要がないと認識します。Goldmile-InfobizAWS-DevOps-Engineer-Professional 認定試験トレーリング問題集は試験の範囲を広くカバーするだけでなく、質は高いです。

たくさんの時間と精力で試験に合格できないという心配な心情があれば、我々Goldmile-Infobizにあなたを助けさせます。多くの受験生は我々のソフトでAmazonのAWS-DevOps-Engineer-Professional出題範囲試験に合格したので、我々は自信を持って我々のソフトを利用してあなたはAmazonのAWS-DevOps-Engineer-Professional出題範囲試験に合格する保障があります。IT業界の発展とともに、IT業界で働いている人への要求がますます高くなります。

Amazon AWS-DevOps-Engineer-Professional出題範囲練習資料が最も全面的な参考書です。

君はほかのサイトや書籍もブラウズ するがもしれませんが、弊社の関連の学習資料と比較してからGoldmile-Infobizの商品の範囲が広くてまたネット上でダウンロードを発見してしまいました。Goldmile-Infobizだけ全面と高品質の問題集があるのではGoldmile-Infobizの専門家チームが彼らの長年のIT知識と豊富な経験で研究してしました。そして、Goldmile-Infobizに多くの受験生の歓迎されます。

今競争の激しいIT業界で地位を固めたいですが、Amazon AWS-DevOps-Engineer-Professional出題範囲認証試験に合格しなければなりません。IT業界ではさらに強くなるために強い専門知識が必要です。

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
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: 3
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: 4
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: 5
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

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Updated: May 28, 2022