AWS-DevOps-Engineer-Professional 최신기출자료 & Amazon AWS-DevOps-Engineer-Professional 시험덤프자료 - AWS Certified DevOps Engineer Professional - Goldmile-Infobiz

많은 시간과 정신력을 투자하고 모험으로Amazon인증AWS-DevOps-Engineer-Professional최신기출자료시험에 도전하시겠습니까? 아니면 우리Goldmile-Infobiz 의 도움으로 시간을 절약하시겠습니까? 요즘 같은 시간인 즉 모든 것인 시대에 여러분은 당연히 Goldmile-Infobiz의 제품이 딱 이라고 생각합니다. 그리고 우리 또한 그 많은 덤프판매사이트 중에서도 단연 일등이고 생각합니다. 우리 Goldmile-Infobiz선택함으로 여러분은 성공을 선택한 것입니다. Goldmile-Infobiz에서 여러분의 꿈을 이루어 드립니다. 우리Goldmile-Infobiz에는 아주 엘리트 한 전문가들로 구성된 팀입니다 그들은 끈임 없는 연구와 자기자신만의 지식으로 많은 IT관연 덤프자료를 만들어 냄으로 여러분의 꿈을 이루어드립니다, 기존의 시험문제와 답과 시험문제분석 등입니다. 그렇다고 자격증공부를 포기하면 자신의 위치를 찾기가 힘들것입니다.

AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional Goldmile-Infobiz덤프는 선택하시면 성공을 선택한것입니다.

Amazon 인증 AWS-DevOps-Engineer-Professional - AWS Certified DevOps Engineer - Professional최신기출자료덤프자료는Goldmile-Infobiz의 전문가들이 최선을 다하여 갈고닦은 예술품과도 같습니다.100% 시험에서 패스하도록 저희는 항상 힘쓰고 있습니다. 최근 더욱 많은 분들이Amazon인증AWS-DevOps-Engineer-Professional 인증자료시험에 도전해보려고 합니다. Goldmile-Infobiz에서는 여러분들의 시간돠 돈을 절약해드리기 위하여 저렴한 가격에 최고의 품질을 지닌 퍼펙트한Amazon인증AWS-DevOps-Engineer-Professional 인증자료시험덤플르 제공해드려 고객님의 시험준비에 편안함을 선물해드립니다.

구매의향이 있으시면 할인도 가능합니다. 고득점으로 패스하시면 지인분들께 추천도 해주실거죠? Goldmile-Infobiz에서 제공해드리는 Amazon인증 AWS-DevOps-Engineer-Professional최신기출자료덤프는 가장 출중한Amazon인증 AWS-DevOps-Engineer-Professional최신기출자료시험전 공부자료입니다.

Amazon인증 Amazon AWS-DevOps-Engineer-Professional최신기출자료시험이 많이 어렵다는것은 모두 알고 있는 것입니다.

성공으로 향하는 길에는 많은 방법과 방식이 있습니다. Amazon인증 AWS-DevOps-Engineer-Professional최신기출자료시험을 패스하는 길에는Goldmile-Infobiz의Amazon인증 AWS-DevOps-Engineer-Professional최신기출자료덤프가 있습니다. Goldmile-Infobiz의Amazon인증 AWS-DevOps-Engineer-Professional최신기출자료덤프는 실제시험 출제방향에 초점을 두어 연구제작한 시험준비공부자료로서 높은 시험적중율과 시험패스율을 자랑합니다.국제적으로 승인해주는 IT자격증을 취득하시면 취직 혹은 승진이 쉬워집니다.

IT업계에서 살아남으려면Goldmile-Infobiz에서Amazon인증 AWS-DevOps-Engineer-Professional최신기출자료덤프를 마련하여 자격증에 도전하여 자기의 자리를 찾아보세요. 목표가 있다면 목표를 향해 끊임없이 달려야 멋진 인생이 됩니다.

AWS-DevOps-Engineer-Professional PDF DEMO:

QUESTION NO: 1
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: 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 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: 4
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: 5
A company has developed an AWS Lambda function that handles orders received through an
API. The company is using AWS CodeDeploy to deploy the Lambda function as the final stage of a
CI/CD pipeline. A DevOps Engineer has notices there are intermittent failures of the ordering API for a few seconds after deployment. After some investigation, the DevOps Engineer believes the failures are due to database changes the CloudFormation stack for the application lambda function begins executing. How should the DevOps Engineer overcome this?
A. Add a BeforeAllowTraffic hook to the AppSpec file that tests and waits for any necessary database changes before traffic can flow to the new version of the Lambda function
B. Add an AfterAllowTraffic hook to the AppSpec file that forces traffic to wait for any pending database changes before allowing the new version of the Lambda function to respond
C. Add a ValidateService hook to the AppSpec file that inspects incoming traffic and rejects the payload if dependent services such as the database are not yet ready
D. Add a BeforeInstall hook to the AppSpec file that tests and waits for any necessary database changes before deploying the new version of the Lambda function
Answer: B

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Updated: May 28, 2022