우리의 시험자료는 모두 하이퀼러티한 문제와 답으로 구성되었습니다, 그리고 우리는 업데트를 아주 중요시 생각하기에 어느 사이트보다 더 최신버전을 보실 수 잇을것입니다. 우리의Amazon AWS-DevOps시험정보자료로 자신만만한 시험 준비하시기를 바랍니다. 우리를 선택함으로 자신의 시간을 아끼는 셈이라고 생각하시면 됩니다.Amazon AWS-DevOps시험정보로 빠른시일내에 자격증 취득하시고AmazonIT업계중에 엘리트한 전문가되시기를 바랍니다. 1년무료 업데이트 서비스란 Goldmile-Infobiz에서Amazon AWS-DevOps시험정보덤프를 구매한 분은 구매일부터 추후 일년간 Amazon AWS-DevOps시험정보덤프가 업데이트될때마다 업데이트된 가장 최신버전을 무료로 제공받는 서비스를 가리킵니다. 1년무료 업데이트 서비스는Amazon AWS-DevOps시험정보시험불합격받을시 덤프비용환불신청하면 종료됩니다. 우리Goldmile-Infobiz가 제공하는 최신, 최고의Amazon AWS-DevOps시험정보시험관련 자료를 선택함으로 여러분은 이미 시험패스성공이라고 보실수 있습니다.
Amazon AWS-DevOps시험정보인증시험은 전문적인 관련지식을 테스트하는 인증시험입니다.
AWS Certified DevOps Engineer AWS-DevOps시험정보 - AWS Certified DevOps Engineer - Professional Goldmile-Infobiz에서 시험대비덤프자료를 구입하시면 시험불합격시 덤프비용환불신청이 가능하고 덤프 1년 무료 업데이트서비스도 가능합니다. Goldmile-Infobiz를 선택하시면 후회하지 않을것입니다. Amazon 인증 AWS-DevOps PDF시험대비덤프를 찾고 계시다면Goldmile-Infobiz가 제일 좋은 선택입니다.저희Goldmile-Infobiz에서는 여라가지 IT자격증시험에 대비하여 모든 과목의 시험대비 자료를 발췌하였습니다.
Amazon인증 AWS-DevOps시험정보덤프공부가이드로 시험준비공부를 하시면 시험패스가 쉬워집니다. 공부하는 시간도 적어지고 다른 공부자료에 투자하는 돈도 줄어듭니다. Goldmile-Infobiz의Amazon인증 AWS-DevOps시험정보덤프는 Amazon인증 AWS-DevOps시험정보시험패스의 특효약입니다.
Amazon AWS-DevOps시험정보 - Goldmile-Infobiz덤프로 가볼가요?
Amazon인증 AWS-DevOps시험정보시험을 통과하여 자격증을 취득하여 IT 업계에서의 자신의 자리를 지키려면 많은 노력이 필요합니다. 회사일도 바쁜데 시험공부까지 스트레스가 장난아니게 싸이고 몸도 많이 상하겠죠. Goldmile-Infobiz는 여러분을 위해 최신Amazon인증 AWS-DevOps시험정보시험에 대비한Amazon인증 AWS-DevOps시험정보덤프를 발췌하였습니다. Amazon인증 AWS-DevOps시험정보덤프는Amazon인증 AWS-DevOps시험정보시험의 기출문제와 예상문제가 묶어져 있어 시험적중율이 굉장히 높습니다. 쉽게 시험을 통과하려면Goldmile-Infobiz의 Amazon인증 AWS-DevOps시험정보덤프를 추천합니다.
고객님의 최근의 꿈은 승진이나 연봉인상이 아닐가 싶습니다. Amazon인증 AWS-DevOps시험정보시험은 IT인증시험중 가장 인기있는 국제승인 자격증을 취득하는데서의 필수시험과목입니다.그만큼 시험문제가 어려워 시험도전할 용기가 없다구요? 이제 이런 걱정은 버리셔도 됩니다.
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
Goldmile-Infobiz의Amazon인증 Workday Workday-Pro-Compensation덤프는 Amazon인증 Workday Workday-Pro-Compensation시험패스 특효약입니다. Goldmile-Infobiz의Amazon인증 Cisco 350-601시험덤프 공부가이드는 시장에서 가장 최신버전이자 최고의 품질을 지닌 시험공부자료입니다.IT업계에 종사중이라면 IT자격증취득을 승진이나 연봉협상의 수단으로 간주하고 자격증취득을 공을 들여야 합니다.회사다니면서 공부까지 하려면 몸이 힘들어 스트레스가 많이 쌓인다는것을 헤아려주는Goldmile-Infobiz가 IT인증자격증에 도전하는데 성공하도록Amazon인증 Cisco 350-601시험대비덤프를 제공해드립니다. Amazon Huawei H19-485_V1.0덤프에 있는 문제와 답만 기억하시면 시험을 쉽게 패스하여 자격증을 취득할수 있습니다. Goldmile-Infobiz의Amazon인증 ServiceNow CIS-Discovery 덤프로 시험준비를 하시면 아무리 어려운Amazon인증 ServiceNow CIS-Discovery시험도 쉬워집니다. Goldmile-Infobiz는 고품질의 IT Amazon Cisco 350-901시험공부자료를 제공하는 차별화 된 사이트입니다.
Updated: May 28, 2022