Amazon AWS-DevOps Dump인증시험이 이토록 인기가 많으니 우리Omgzlook에서는 모든 힘을 다하여 여러분이 응시에 도움을 드리겠으며 또 일년무료 업뎃서비스를 제공하며, Omgzlook 선택으로 여러분은 자신의 꿈과 더 가까워질 수 있습니다. 희망찬 내일을 위하여 Omgzlook선택은 정답입니다. Omgzlook선택함으로 당신이 바로 진정한IT인사입니다. 다같이 Amazon AWS-DevOps Dump덤프로 시험패스에 주문걸어 보아요. 마술처럼Amazon AWS-DevOps Dump시험합격이 실현될것입니다. 때문에 점점 많은 분들이Amazon인증AWS-DevOps Dump시험을 응시합니다.하지만 실질적으로AWS-DevOps Dump시험을 패스하시는 분들은 너무 적습니다.전분적인 지식을 터득하면서 완벽한 준비하고 응시하기에는 너무 많은 시간이 필요합니다.하지만 우리Omgzlook는 이러한 여러분의 시간을 절약해드립니다.
AWS Certified DevOps Engineer AWS-DevOps 만약 아직도 우리를 선택할지에 대하여 망설이고 있다면.
AWS Certified DevOps Engineer AWS-DevOps Dump - AWS Certified DevOps Engineer - Professional (DOP-C01) IT인증시험을Omgzlook덤프로 준비해야만 하는 이유는Omgzlook덤프는 IT업계전문가들이 실제시험문제를 연구하여 시험문제에 대비하여 예상문제를 제작했다는 점에 있습니다. 여러분이 다른 사이트에서도Amazon인증AWS-DevOps 시험기출문제시험 관련덤프자료를 보셨을 것입니다 하지만 우리Omgzlook의 자료만의 최고의 전문가들이 만들어낸 제일 전면적이고 또 최신 업데이트일 것입니다.Amazon인증AWS-DevOps 시험기출문제시험을 응시하고 싶으시다면 Omgzlook자료만의 최고의 선택입니다. Amazon인증AWS-DevOps 시험기출문제시험덤프의 문제와 답은 모두 우리의 엘리트들이 자신의 지식과 몇 년간의 경험으로 완벽하게 만들어낸 최고의 문제집입니다.
Amazon AWS-DevOps Dump인증시험을 어떻게 준비하면 될가 아직도 고민하고 계시죠? 학원에 등록하자니 시간도 없고 돈도 많이 들고 쉽게 엄두가 나지 않는거죠? Omgzlook제품을 구매하신다면 그런 부담을 이제 끝입니다. Omgzlook덤프는 더욱 가까지 여러분들께 다가가기 위하여 그 어느 덤프판매 사이트보다 더욱 저렴한 가격으로 여러분들을 맞이하고 있습니다. Amazon AWS-DevOps Dump덤프는Omgzlook제품이 최고랍니다.
Amazon AWS-DevOps Dump - 두 버전을 모두 구입하시면 시험에서 고득점으로 패스가능합니다.
Omgzlook의 Amazon인증 AWS-DevOps Dump덤프를 구매하시고 공부하시면 밝은 미래를 예약한것과 같습니다. Omgzlook의 Amazon인증 AWS-DevOps Dump덤프는 고객님이 시험에서 통과하여 중요한 IT인증자격증을 취득하게끔 도와드립니다. IT인증자격증은 국제적으로 인정받기에 취직이나 승진 혹은 이직에 힘을 가해드립니다. 학원공부나 다른 시험자료가 필요없이Omgzlook의 Amazon인증 AWS-DevOps Dump덤프만 공부하시면Amazon인증 AWS-DevOps Dump시험을 패스하여 자격증을 취득할수 있습니다.
Omgzlook의Amazon인증 AWS-DevOps Dump시험대비 덤프는 가격이 착한데 비하면 품질이 너무 좋은 시험전 공부자료입니다. 시험문제적중율이 높아 패스율이 100%에 이르고 있습니다.다른 IT자격증에 관심이 있는 분들은 온라인서비스에 문의하여 덤프유무와 적중율등을 확인할수 있습니다.
AWS-DevOps PDF DEMO:
QUESTION NO: 1
A web application for healthcare services runs on Amazon EC2 instances behind an ELB
Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group across multiple
Availability Zones. A DevOps Engineer must create a mechanism in which an EC2 instance can be taken out of production so its system logs can be analyzed for issues to quickly troubleshot problems on the web tier.
How can the Engineer accomplish this task while ensuring availability and minimizing downtime?
A. Terminate the EC2 instances manually. The Auto Scaling service will upload all log information to
CloudWatch Logs for analysis prior to instance termination.
B. Implement EC2 Auto Scaling groups cooldown periods. Use EC2 instance metadata to determine the instance state, and an AWS Lambda function to snapshot Amazon EBS volumes to preserve system logs.
C. Implement Amazon CloudWatch Events rules. Create an AWS Lambda function that can react to an instance termination to deploy the CloudWatch Logs agent to upload the system and access logs to
Amazon S3 for analysis.
D. Implement EC2 Auto Scaling groups with lifecycle hooks. Create an AWS Lambda function that can modify an EC2 instance lifecycle hook into a standby state, extract logs from the instance through a remote script execution, and place them in an Amazon S3 bucket for analysis.
Answer: B
QUESTION NO: 2
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: 3
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: 4
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: 5
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
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Updated: May 28, 2022