AWS-DevOps 시험덤프공부 - Amazon AWS Certified DevOps Engineer Professional (DOP C01) It덤프 - Omgzlook

Omgzlook의 Amazon AWS-DevOps시험덤프공부 덤프로 시험을 준비하면Amazon AWS-DevOps시험덤프공부시험패스를 예약한것과 같습니다. 가장 최근 출제된Amazon AWS-DevOps시험덤프공부시험문제를 바탕으로 만들어진 적중율 최고인 덤프로서 간단한 시험패스는 더는 꿈이 아닙니다. 덤프는 pdf파일과 온라인서비스로 되어있는데 pdf버전은 출력가능하고 온라인버전은 휴대폰에서도 작동가능합니다. Omgzlook Amazon AWS-DevOps시험덤프공부덤프 구매전 혹은 구매후 의문나는 점이 있으시면 한국어로 온라인서비스 혹은 메일로 상담 받으실수 있습니다. 기술 질문들에 관련된 문제들을 해결 하기 위하여 최선을 다 할것입니다. Amazon AWS-DevOps시험덤프공부덤프로 시험패스하고 자격증 한방에 따보세요.

AWS Certified DevOps Engineer AWS-DevOps Omgzlook을 선택함으로써 여러분은 성공도 선택한것이라고 볼수 있습니다.

AWS Certified DevOps Engineer AWS-DevOps시험덤프공부 - AWS Certified DevOps Engineer - Professional (DOP-C01) 회사, 생활에서는 물론 많은 업그레이드가 있을 것입니다. Omgzlook의 부지런한 IT전문가들이 자기만의 지식과 끊임없는 노력과 경험으로 최고의Amazon AWS-DevOps 시험정보합습자료로Amazon AWS-DevOps 시험정보인증시험을 응시하실 수 있습니다.Amazon AWS-DevOps 시험정보인증시험은 IT업계에서의 비중은 아주 큽니다. 시험신청하시는분들도 많아지고 또 많은 분들이 우리Omgzlook의Amazon AWS-DevOps 시험정보자료로 시험을 패스했습니다.

한번에Amazon인증AWS-DevOps시험덤프공부시험을 패스하고 싶으시다면 완전 페펙트한 준비가 필요합니다. 완벽한 관연 지식터득은 물론입니다. 우리Omgzlook의 자료들은 여러분의 이런 시험준비에 많은 도움이 될 것입니다.

Amazon AWS-DevOps시험덤프공부 - 덤프는 실제시험의 모든 범위를 커버하고 있어 시험통과율이 거의 100%에 달합니다.

Amazon인증사에서 주췌하는 AWS-DevOps시험덤프공부시험은 IT업계에 종사하는 분이시라면 모두 패스하여 자격증을 취득하고 싶으리라 믿습니다. Omgzlook에서는 여러분이 IT인증자격증을 편하게 취득할수 있게 도와드리는 IT자격증시험대비시험자료를 제공해드리는 전문 사이트입니다. Omgzlook덤프로 자격증취득의 꿈을 이루세요.

Omgzlook의 Amazon인증 AWS-DevOps시험덤프공부시험덤프자료는 IT인사들의 많은 찬양을 받아왔습니다.이는Omgzlook의 Amazon인증 AWS-DevOps시험덤프공부덤프가 신뢰성을 다시 한번 인증해주는것입니다. Amazon인증 AWS-DevOps시험덤프공부시험덤프의 인기는 이 시험과목이 얼마나 중요한지를 증명해줍니다.

AWS-DevOps PDF DEMO:

QUESTION NO: 1
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: 2
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: 3
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: 4
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: 5
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

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Updated: May 28, 2022