AWS-DevOps 인증시험 - AWS-DevOps 최신버전자료 & AWS Certified DevOps Engineer Professional - Royalholidayclubbed

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현재 경쟁울이 심한IT시대에,Amazon AWS-DevOps인증시험자격증 취득만으로 이 경쟁이 심한 사회에서 자신만의위치를 보장할수 있고 더욱이는 한층업된 삶을 누릴수 있을수도 있습니다. 우리Royalholidayclubbed 에서 여러분은Amazon AWS-DevOps인증시험관련 학습지도서를 얻을 수 있습니다. 우리Royalholidayclubbed는 IT업계엘리트 한 강사들이 퍼펙트한Amazon AWS-DevOps인증시험문제집을 만들어서 제공합니다. 그러면 100프로 자신감으로 응시하셔서 한번에 안전하게 패스하실 수 있습니다. 단 한번으로Amazon AWS-DevOps인증시험인증시험을 패스한다…… 여러분은 절대 후회할 일 없습니다. 하지만AWS-DevOps인증시험시험은Amazon인증의 아주 중요한 시험으로서AWS-DevOps인증시험시험패스는 쉬운 것도 아닙니다.

AWS Certified DevOps Engineer AWS-DevOps 그리고 시험에서 떨어지셨다고 하시면 우리는 덤프비용전액 환불을 약속 드립니다.

AWS Certified DevOps Engineer AWS-DevOps인증시험 - AWS Certified DevOps Engineer - Professional 오르지 못할 산도 정복할수 있는게Royalholidayclubbed제품의 우점입니다. 무료샘플을 보시면Royalholidayclubbed Amazon인증AWS-DevOps 시험유효덤프시험대비자료에 믿음이 갈것입니다.고객님의 이익을 보장해드리기 위하여Royalholidayclubbed는 시험불합격시 덤프비용전액환불을 무조건 약속합니다. Royalholidayclubbed의 도움으로 더욱 많은 분들이 멋진 IT전문가로 거듭나기를 바라는바입니다.

Amazon 인증AWS-DevOps인증시험덤프는 IT업계전문가들이 끊임없는 노력과 지금까지의 경험으로 연구하여 만들어낸 제일 정확한 시험문제와 답들로 만들어졌습니다. Royalholidayclubbed의 문제집으로 여러분은 충분히 안전이 시험을 패스하실 수 있습니다. 우리 Royalholidayclubbed 의 문제집들은 모두 100%합격율을 자랑하며 Royalholidayclubbed의 제품을 구매하였다면 Amazon 인증AWS-DevOps인증시험시험패스와 자격증 취득은 근심하지 않으셔도 됩니다.

Amazon AWS-DevOps인증시험 - 저희는 항상 여러분들의 곁을 지켜줄것입니다.

Amazon AWS-DevOps인증시험 덤프의 PDF 버전과 Software 버전의 내용은 동일합니다. PDF버전은 프린트 가능한 버전으로서 단독구매하셔도 됩니다. Software 버전은 테스트용으로 PDF 버전 공부를 마친후 시험전에 실력테스트 가능합니다. Software 버전은 PDF버전의 보조용이기에 단독 판매하지 않습니다. 소프트웨어버전까지 필요하신 분은 PDF버전을 구입하실때 공동구매하셔야 합니다.

Amazon인증 AWS-DevOps인증시험시험이 영어로 출제되어 시험패스가 너무 어렵다 혹은 회사다니느라 공부할 시간이 없다는 등등은 모두 공부하기싫은 구실에 불과합니다. Royalholidayclubbed의 Amazon인증 AWS-DevOps인증시험덤프만 마련하면 실패를 성공으로 바꿀수 있는 기적을 체험할수 있습니다.제일 간단한 방법으로 가장 어려운 문제를 해결해드리는것이Royalholidayclubbed의 취지입니다.

AWS-DevOps PDF DEMO:

QUESTION NO: 1
A company is hosting a web application in an AWS Region. For disaster recovery purposes, a second region is being used as a standby. Disaster recovery requirements state that session data must be replicated between regions in near-real time and 1% of requests should route to the secondary region to continuously verify system functionality. Additionally, if there is a disruption in service in the main region, traffic should be automatically routed to the secondary region, and the secondary region must be able to scale up to handle all traffic.
How should a DevOps Engineer meet these requirements?
A. In both regions, deploy the application on AWS Elastic Beanstalk and use Amazon DynamoDB global tables for session data. Use an Amazon Route 53 weighted routing policy with health checks to distribute the traffic across the regions.
B. In both regions, launch the application in Auto Scaling groups and use DynamoDB for session data.
Use a Route 53 failover routing policy with health checks to distribute the traffic across the regions.
C. In both regions, deploy the application in AWS Lambda, exposed by Amazon API Gateway, and use
Amazon RDS PostgreSQL with cross-region replication for session data. Deploy the web application with client-side logic to call the API Gateway directly.
D. In both regions, launch the application in Auto Scaling groups and use DynamoDB global tables for session data. Enable an Amazon CloudFront weighted distribution across regions. Point the Amazon
Route 53 DNS record at the CloudFront distribution.
Answer: C

QUESTION NO: 2
A defect was discovered in production and a new sprint item has been created for deploying a hotfix.
However, any code change must go through the following steps before going into production:
*Scan the code for security breaches, such as password and access key leaks.
Run the code through extensive, long running unit tests.
Which source control strategy should a DevOps Engineer use in combination with AWS CodePipeline to complete this process?
A. Create a hotfix branch from the master branch. Triger the development pipeline from the hotfix branch.
Use AWS Lambda to do a content scan and run unit tests. Add a manual approval stage that merges the hotfix branch into the master branch.
B. Create a hotfix branch from the master branch. Create a separate source stage for the hotfix branch in the production pipeline. Trigger the pipeline from the hotfix branch. Use AWS Lambda to do a content scan and use AWS CodeBuild to run unit tests. Add a manual approval stage that merges the hotfix branch into the master branch.
C. Create a hotfix branch from the master branch. Triger the development pipeline from the hotfix branch.
Use AWS CodeBuild to do a content scan and run unit tests. Add a manual approval stage that merges the hotfix branch into the master branch.
D. Create a hotfix tag on the last commit of the master branch. Trigger the development pipeline from the hotfix tag. Use AWS CodeDeploy with Amazon ECS to do a content scan and run unit tests.
Add a manual approval stage that merges the hotfix tag into the master branch.
Answer: D

QUESTION NO: 3
A government agency has multiple AWS accounts, many of which store sensitive citizen information. A Security team wants to detect anomalous account and network activities (such as SSH brute force attacks) in any account and centralize that information in a dedicated security account.
Event information should be stored in an Amazon S3 bucket in the security account, which is monitored by the department's Security Information and Even Manager (SIEM) system.
How can this be accomplished?
A. Enable Amazon Macie in the security account only. Configure the security account as the Macie
Administrator for every member account using invitation/ acceptance. Create an Amazon
CloudWatch Events rule in the security account to send all findings to Amazon Kinesis Data Streams.
Write and application using KCL to read data from the Kinesis Data Streams and write to the S3 bucket.
B. Enable Amazon GuardDuty in every account. Configure the security account as the GuardDuty
Administrator for every member account using invitation/ acceptance. Create an Amazon
CloudWatch rule in the security account to send all findings to Amazon Kinesis Data Firehouse, which will push the findings to the S3 bucket.
C. Enable Amazon GuardDuty in the security account only. Configure the security account as the
GuardDuty Administrator for every member account using invitation/acceptance. Create an Amazon
CloudWatch rule in the security account to send all findings to Amazon Kinesis Data Streams. Write and application using KCL to read data from Kinesis Data Streams and write to the S3 bucket.
D. Enable Amazon Macie in every account. Configure the security account as the Macie
Administrator for every member account using invitation/acceptance. Create an Amazon CloudWatch
Events rule in the security account to send all findings to Amazon Kinesis Data Firehouse, which should push the findings to the S3 bucket.
Answer: C

QUESTION NO: 4
A DevOps Engineer administers an application that manages video files for a video production company. The application runs on Amazon EC2 instances behind an ELB Application Load Balancer.
The instances run in an Auto Scaling group across multiple Availability Zones. Data is stored in an
Amazon RDS PostgreSQL Multi-AZ DB instance, and the video files are stored in an Amazon S3 bucket.
On a typical day, 50 GB of new video are added to the S3 bucket. The Engineer must implement a multi-region disaster recovery plan with the least data loss and the lowest recovery times. The current application infrastructure is already described using AWS CloudFormation.
Which deployment option should the Engineer choose to meet the uptime and recovery objectives for the system?
A. Launch the application from the CloudFormation template in the second region, which sets the capacity of the Auto Scaling group to 1. Create a scheduled task to take daily Amazon RDS cross- region snapshots to the second region. In the second region, enable cross-region replication between the original S3 bucket and Amazon Glacier. In a disaster, launch a new application stack in the second region and restore the database from the most recent snapshot.
B. Use Amazon CloudWatch Events to schedule a nightly task to take a snapshot of the database and copy the snapshot to the second region. Create an AWS Lambda function that copies each object to a new S3 bucket in the second region in response to S3 event notifications. In the second region, launch the application from the CloudFormation template and restore the database from the most recent snapshot.
C. Launch the application from the CloudFormation template in the second region, which sets the capacity of the Auto Scaling group to 1. Create an Amazon RDS read replica in the second region. In the second region, enable cross-region replication between the original S3 bucket and a new S3 bucket. To fail over, promote the read replica as master. Update the CloudFormation stack and increase the capacity of the Auto Scaling group.
D. Launch the application from the CloudFormation template in the second region which sets the capacity of the Auto Scaling group to 1. Use Amazon CloudWatch Events to schedule a nightly task to take a snapshot of the database, copy the snapshot to the second region, and replace the DB instance in the second region from the snapshot. In the second region, enable cross-region replication between the original S3 bucket and a new S3 bucket. To fail over, increase the capacity of the Auto Scaling group.
Answer: D

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

by RHC.

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