Goldmile-Infobiz는 응시자에게 있어서 시간이 정말 소중하다는 것을 잘 알고 있으므로 Amazon AWS-DevOps-Engineer-Professional인증자료덤프를 자주 업데이트 하고, 오래 되고 더 이상 사용 하지 않는 문제들은 바로 삭제해버리며 새로운 최신 문제들을 추가 합니다. 이는 응시자가 확실하고도 빠르게Amazon AWS-DevOps-Engineer-Professional인증자료덤프를 마스터하고Amazon AWS-DevOps-Engineer-Professional인증자료시험을 패스할수 있도록 하는 또 하나의 보장입니다. Goldmile-Infobiz에서 제공하는Amazon AWS-DevOps-Engineer-Professional인증자료시험자료의 문제와 답은 실제시험의 문제와 답과 아주 비슷합니다. Goldmile-Infobiz의 도움으로 여러분은 많은 시간과 돈을 들이지 않으셔도 혹은 여러학원등을 다니시지 않으셔도 우리 덤프로 안전하게 시험을 통과하실 수 있습니다.Amazon AWS-DevOps-Engineer-Professional인증자료시험자료는 우리 Goldmile-Infobiz에서 실제시험에 의하여 만들어진 것입니다. 우리 Goldmile-Infobiz 의 문제집들은 모두 100%보장 도를 자랑하며 만약 우리Goldmile-Infobiz의 제품을 구매하였다면Amazon관련 시험패스와 자격증취득은 근심하지 않으셔도 됩니다.
AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional 시험패스를 원하신다면 충분한 시험준비는 필수입니다.
AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional인증자료 - AWS Certified DevOps Engineer - Professional Goldmile-Infobiz는 아주 믿을만하고 서비스 또한 만족스러운 사이트입니다. 시험불합격시 불합격성적표로 덤프비용을 환불받을수 있기에 아무런 고민을 하지 않으셔도 괜찮습니다. Goldmile-Infobiz 에서 출시한 Amazon인증AWS-DevOps-Engineer-Professional 시험응시시험덤프는 100%시험통과율을 보장해드립니다.
Goldmile-Infobiz의 덤프선택으로Amazon AWS-DevOps-Engineer-Professional인증자료인증시험에 응시한다는 것 즉 성공과 멀지 않았습니다. 여러분의 성공을 빕니다.
Amazon인증 Amazon AWS-DevOps-Engineer-Professional인증자료시험을 패스하여 자격증을 취득하면 소원이 이루어집니다.
인터넷에는Amazon인증 AWS-DevOps-Engineer-Professional인증자료시험대비공부자료가 헤아릴수 없을 정도로 많습니다.이렇게 많은Amazon인증 AWS-DevOps-Engineer-Professional인증자료공부자료중 대부분 분들께서 저희Goldmile-Infobiz를 선택하는 이유는 덤프 업데이트가 다른 사이트보다 빠르다는 것이 제일 큰 이유가 아닐가 싶습니다. Goldmile-Infobiz의 Amazon인증 AWS-DevOps-Engineer-Professional인증자료덤프를 구매하시면 덤프가 업데이트되면 무료로 업데이트된 버전을 제공받을수 있습니다.
시험합격하면 좋은 소식 전해주세요. Amazon인증 AWS-DevOps-Engineer-Professional인증자료시험은 IT인증자격증중 가장 인기있는 자격증을 취득하는 필수시험 과목입니다.
AWS-DevOps-Engineer-Professional 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
Microsoft GH-300 - 아무런 노력을 하지 않고 승진이나 연봉인상을 꿈꾸고 있는 분이라면 이 글을 검색해낼수 없었을것입니다. Amazon PECB ISO-9001-Lead-Auditor덤프를 공부하여 시험에서 떨어지면 불합격성적표와 주문번호를 보내오시면 덤프비용을 환불해드립니다.구매전 데모를 받아 덤프문제를 체험해보세요. Scrum SAFe-Practitioner - 사이트에서 데모를 다운받아 보시면 덤프의 일부분 문제를 먼저 풀어보실수 있습니다.구매후 덤프가 업데이트되면 업데이트버전을 무료로 드립니다. Goldmile-Infobiz의 Amazon AVIXA CTS-D 덤프로 시험을 준비하면Amazon AVIXA CTS-D시험패스를 예약한것과 같습니다. Goldmile-Infobiz는 고객님께서 첫번째Amazon ISTQB ISTQB-CTFL-KR시험에서 패스할수 있도록 최선을 다하고 있습니다.
Updated: May 28, 2022