Omgzlook는 많은 IT인사들이Amazon인증시험에 참가하고 완벽한AWS-DevOps최신버전덤프인증시험자료로 응시하여 안전하게Amazon AWS-DevOps최신버전덤프인증시험자격증 취득하게 하는 사이트입니다. Pass4Tes의 자료들은 모두 우리의 전문가들이 연구와 노력 하에 만들어진 것이며.그들은 자기만의 지식과 몇 년간의 연구 경험으로 퍼펙트하게 만들었습니다.우리 덤프들은 품질은 보장하며 갱신 또한 아주 빠릅니다.우리의 덤프는 모두 실제시험과 유사하거나 혹은 같은 문제들임을 약속합니다.Omgzlook는 100% 한번에 꼭 고난의도인Amazon인증AWS-DevOps최신버전덤프시험을 패스하여 여러분의 사업에 많은 도움을 드리겠습니다. Omgzlook에서 제공하는 제품들은 품질이 아주 좋으며 또 업뎃속도도 아주 빠릅니다 만약 우리가제공하는Amazon AWS-DevOps최신버전덤프인증시험관련 덤프를 구매하신다면Amazon AWS-DevOps최신버전덤프시험은 손쉽게 성공적으로 패스하실 수 있습니다. 우리Omgzlook의 덤프를 사용한다면 우리는 일년무료 업뎃서비스를 제공하고 또 100%통과 율을 장담합니다.
만약Amazon인증AWS-DevOps최신버전덤프시험에서 떨어지셨다고 하면 우리는 덤프비용전액 환불입니다.
Omgzlook에서 출시한 Amazon인증AWS-DevOps - AWS Certified DevOps Engineer - Professional (DOP-C01)최신버전덤프 덤프는 시험문제점유율이 가장 높은 시험대비자료입니다. Omgzlook는 여러분이Amazon AWS-DevOps 질문과 답인증시험을 통과할 수 잇도록 도와주는 사이트입니다. 많은 분들이 많은 시간과 돈을 들여 혹은 여러 학원 등을 다니면서Amazon AWS-DevOps 질문과 답인증시험패스에 노력을 다합니다.
Omgzlook의 Amazon인증 AWS-DevOps최신버전덤프덤프는 거의 모든 실제시험문제 범위를 커버하고 있습니다.Amazon인증 AWS-DevOps최신버전덤프시험덤프를 구매하여 덤프문제로 시험에서 불합격성적표를 받을시Omgzlook에서는 덤프비용 전액 환불을 약속드립니다.
Amazon AWS-DevOps최신버전덤프 - 덤프를 구매하여 시험에서 불합격성적표를 받으시면 덤프비용 전액을 환불해드립니다.
이 산업에는 아주 많은 비슷한 회사들이 있습니다, 그러나 Omgzlook는 다른 회사들이 이룩하지 못한 독특한 이점을 가지고 있습니다. Pss4Test Amazon AWS-DevOps최신버전덤프덤프를 결제하면 바로 사이트에서Amazon AWS-DevOps최신버전덤프덤프를 다운받을수 있고 구매한Amazon AWS-DevOps최신버전덤프시험이 종료되고 다른 코드로 변경되면 변경된 코드로 된 덤프가 출시되면 비용추가없이 새로운 덤프를 제공해드립니다.
시간절약은 물론이고 가격도 착해서 간단한 시험패스에 딱 좋은 선택입니다. Amazon 인증AWS-DevOps최신버전덤프시험출제경향을 퍼펙트하게 연구하여Omgzlook에서는Amazon 인증AWS-DevOps최신버전덤프시험대비덤프를 출시하였습니다.
AWS-DevOps PDF DEMO:
QUESTION NO: 1
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: 2
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: 3
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: 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 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
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Updated: May 28, 2022