Shobhadoshi의Amazon인증 AWS-DevOps자격증덤프덤프는 Amazon인증 AWS-DevOps자격증덤프시험패스의 특효약입니다. Shobhadoshi의Amazon인증 AWS-DevOps자격증덤프덤프는 몇십년간 IT업계에 종사한 전문가들이Amazon인증 AWS-DevOps자격증덤프 실제 시험에 대비하여 제작한 시험준비 공부가이드입니다. Amazon인증 AWS-DevOps자격증덤프덤프공부가이드로 시험준비공부를 하시면 시험패스가 쉬워집니다. Shobhadoshi의Amazon인증 AWS-DevOps자격증덤프덤프를 공부하시면 한방에 시험을 패스하는건 문제가 아닙니다. Shobhadoshi의Amazon인증 AWS-DevOps자격증덤프덤프는 시험적중율 최고의 인지도를 넓히 알리고 있습니다.저희가 제공한 시험예상문제로 시험에 도전해보지 않으실래요? Amazon인증 AWS-DevOps자격증덤프덤프를 선택하시면 성공의 지름길이 눈앞에 다가옵니다. Shobhadoshi의 Amazon인증 AWS-DevOps자격증덤프덤프로 시험을 준비하시면 100%시험통과 가능합니다.
이는 응시자가 확실하고도 빠르게Amazon AWS-DevOps - AWS Certified DevOps Engineer - Professional자격증덤프덤프를 마스터하고Amazon AWS-DevOps - AWS Certified DevOps Engineer - Professional자격증덤프시험을 패스할수 있도록 하는 또 하나의 보장입니다. Shobhadoshi을 선택함으로써 여러분은 성공도 선택한것이라고 볼수 있습니다. 만약Shobhadoshi선택여부에 대하여 망설이게 된다면 여러분은 우선 우리 Shobhadoshi 사이트에서 제공하는Amazon AWS-DevOps 시험준비시험정보 관련자료의 일부분 문제와 답 등 샘플을 무료로 다운받아 체험해볼 수 있습니다.
Shobhadoshi 의 학습가이드에는Amazon AWS-DevOps자격증덤프인증시험의 예상문제, 시험문제와 답입니다. 그리고 중요한 건 시험과 매우 유사한 시험문제와 답도 제공해드립니다. Shobhadoshi 을 선택하면 Shobhadoshi 는 여러분을 빠른시일내에 시험관련지식을 터득하게 할 것이고Amazon AWS-DevOps자격증덤프인증시험도 고득점으로 패스하게 해드릴 것입니다.
Shobhadoshi의 Amazon인증AWS-DevOps자격증덤프시험대비덤프는 실제시험문제 출제경향을 충분히 연구하여 제작한 완벽한 결과물입니다.실제시험문제가 바뀌면 덤프를 제일 빠른 시일내에 업데이트하도록 하기에 한번 구매하시면 1년동안 항상 가장 최신의Amazon인증AWS-DevOps자격증덤프시험덤프자료를 제공받을수 있습니다.
왜냐면 우리 Shobhadoshi에는 베터랑의 전문가들로 이루어진 연구팀이 잇습니다, 그들은 it지식과 풍부한 경험으로 여러 가지 여러분이Amazon인증AWS-DevOps자격증덤프시험을 패스할 수 있을 자료 등을 만들었습니다 여러분이Amazon인증AWS-DevOps자격증덤프시험에 많은 도움이Amazon AWS-DevOps자격증덤프될 것입니다. Shobhadoshi 가 제공하는AWS-DevOps자격증덤프테스트버전과 문제집은 모두Amazon AWS-DevOps자격증덤프인증시험에 대하여 충분한 연구 끝에 만든 것이기에 무조건 한번에Amazon AWS-DevOps자격증덤프시험을 패스하실 수 있습니다.
QUESTION NO: 1
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: 2
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: 3
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: 4
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
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
Exam Code: AWS-DevOps
Exam Name: AWS Certified DevOps Engineer - Professional
Updated: June 13, 2025
Total Q&As:575
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