Shobhadoshi는 고품질의 IT Amazon AWS-DevOps시험문제집시험공부자료를 제공하는 차별화 된 사이트입니다. Shobhadoshi는Amazon AWS-DevOps시험문제집응시자들이 처음 시도하는Amazon AWS-DevOps시험문제집시험에서의 합격을 도와드립니다. 가장 적은 시간은 투자하여 어려운Amazon AWS-DevOps시험문제집시험을 통과하여 자격증을 많이 취득하셔서 IT업계에서 자신만의 가치를 찾으세요. Shobhadoshi의 Amazon인증AWS-DevOps시험문제집시험대비덤프는 실제시험문제 출제경향을 충분히 연구하여 제작한 완벽한 결과물입니다.실제시험문제가 바뀌면 덤프를 제일 빠른 시일내에 업데이트하도록 하기에 한번 구매하시면 1년동안 항상 가장 최신의Amazon인증AWS-DevOps시험문제집시험덤프자료를 제공받을수 있습니다. 우리Shobhadoshi는 IT업계엘리트 한 강사들이 퍼펙트한Amazon AWS-DevOps시험문제집문제집을 만들어서 제공합니다.

AWS Certified DevOps Engineer AWS-DevOps IT업계에 종사하는 분들은 치열한 경쟁을 많이 느낄것입니다.

만약 아직도Amazon AWS-DevOps - AWS Certified DevOps Engineer - Professional시험문제집시험패스를 위하여 고군분투하고 있다면 바로 우리 Shobhadoshi를 선택함으로 여러분의 고민을 날려버릴 수 잇습니다, 우리 Shobhadoshi에서는 최고의 최신의 덤프자료를 제공 합으로 여러분을 도와Amazon AWS-DevOps - AWS Certified DevOps Engineer - Professional시험문제집인증자격증을 쉽게 취득할 수 있게 해드립니다. Shobhadoshi덤프를 열심히 공부하여 멋진 IT전문가의 꿈을 이루세요. Amazon인증 AWS-DevOps 학습자료시험을 준비하기 위해 잠도 설쳐가면서 많이 힘들죠? Shobhadoshi덤프가 고객님의 곁을 지켜드립니다.

여러분은 그러한Amazon AWS-DevOps시험문제집데모들을 보시고 다시 우리의 덤프와 비교하시면, 우리의 덤프는 다른 사이트덤프와 차원이 다른 덤프임을 아사될 것 입니다. 우리 Shobhadoshi사이트에서 제공되는Amazon인증AWS-DevOps시험문제집시험덤프의 일부분인 데모 즉 문제와 답을 다운받으셔서 체험해보면 우리Shobhadoshi에 믿음이 갈 것입니다. 왜냐면 우리 Shobhadoshi에는 베터랑의 전문가들로 이루어진 연구팀이 잇습니다, 그들은 it지식과 풍부한 경험으로 여러 가지 여러분이Amazon인증AWS-DevOps시험문제집시험을 패스할 수 있을 자료 등을 만들었습니다 여러분이Amazon인증AWS-DevOps시험문제집시험에 많은 도움이Amazon AWS-DevOps시험문제집될 것입니다.

Amazon AWS-DevOps시험문제집 - IT자격증을 취득하려는 분들의 곁에는Shobhadoshi가 있습니다.

Amazon AWS-DevOps시험문제집인증시험에 응시하고 싶으시다면 좋은 학습자료와 학습 가이드가 필요합니다.Amazon AWS-DevOps시험문제집시험은 it업계에서도 아주 중요한 인증입니다. 시험패스를 원하신다면 충분한 시험준비는 필수입니다.

시험문제커버율이 높아 덤프에 있는 문제만 조금의 시간의 들여 공부하신다면 누구나 쉽게 시험패스가능합니다. IT업종 종사자분들은 모두 승진이나 연봉인상을 위해 자격증을 취득하려고 최선을 다하고 계실것입니다.

AWS-DevOps PDF DEMO:

QUESTION NO: 1
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: 2
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: 3
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: 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 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

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Updated: May 28, 2022