여러분이 신뢰가 생길수 있도록Shobhadoshi에서는Amazon인증 AWS-DevOps Pdf덤프구매 사이트에 무료샘플을 설치해두었습니다.무료샘플에는 5개이상의 문제가 있는데 구매하지 않으셔도 공부가 됩니다. Amazon인증 AWS-DevOps Pdf덤프로Amazon인증 AWS-DevOps Pdf시험을 준비하여 한방에 시험패하세요. Shobhadoshi의Amazon인증 AWS-DevOps Pdf덤프는 시험패스율이 거의 100%에 달하여 많은 사랑을 받아왔습니다. 때문에 IT자격증이 많은 인기를 누리고 있습니다.이런 살아가기 힘든 사회에서 이런 자격증들 또한 취득하기가 넘 어렵습니다.Amazon AWS-DevOps Pdf인증시험 또한 아주 어려운 시험입니다. 많은 분들이 응시하지만 통과하는 분들은 아주 적습니다. 우리 Shobhadoshi에서는 최고이자 최신의Amazon 인증AWS-DevOps Pdf덤프자료를 제공 함으로 여러분을 도와Amazon 인증AWS-DevOps Pdf인증자격증을 쉽게 취득할 수 있게 해드립니다.만약 아직도Amazon 인증AWS-DevOps Pdf시험패스를 위하여 고군분투하고 있다면 바로 우리 Shobhadoshi를 선택함으로 여러분의 고민을 날려버릴수 있습니다.

Amazon인증 AWS-DevOps Pdf덤프 구매의향이 있으시면 무료샘플을 우선 체험해보세요.

Amazon AWS-DevOps - AWS Certified DevOps Engineer - Professional Pdf시험을 보기로 결심한 분은 가장 안전하고 가장 최신인 적중율 100%에 달하는Amazon AWS-DevOps - AWS Certified DevOps Engineer - Professional Pdf시험대비덤프를 Shobhadoshi에서 받을 수 있습니다. Shobhadoshi의 Amazon인증 AWS-DevOps 시험기출문제시험덤프는 고객님의 IT자격증을 취득하는 꿈을 실현시켜 드리는 시험패스의 지름길입니다. Amazon인증 AWS-DevOps 시험기출문제덤프에는 실제시험문제의 거의 모든 문제를 적중하고 습니다.

Shobhadoshi의 완벽한 자료만으로도 가능합니다. Shobhadoshi의 덤프들은 모두 전문적으로 IT관련인증시험에 대하여 연구하여 만들어진것이기 때문입니다. 만약 여러분은Amazon AWS-DevOps Pdf인증시험취득으로 이 치열한 IT업계경쟁 속에서 자기만의 자리를 잡고, 스펙을 쌓고, 전문적인 지식을 높이고 싶으십니까? 하지만Amazon AWS-DevOps Pdf패스는 쉬운 일은 아닙니다.Amazon AWS-DevOps Pdf패스는 여러분이 IT업계에 한발작 더 가까워졌다는 뜻이죠.

Amazon인증Amazon AWS-DevOps Pdf시험을 위하여 최고의 선택이 필요합니다.

Shobhadoshi는 IT인증자격증시험에 대비한 덤프공부가이드를 제공해드리는 사이트인데 여러분의 자격증 취득의 꿈을 이루어드릴수 있습니다. Amazon인증 AWS-DevOps Pdf시험을 등록하신 분들은 바로Shobhadoshi의Amazon인증 AWS-DevOps Pdf덤프를 데려가 주세요. 단기간에 시험패스의 기적을 가져다드리는것을 약속합니다.

Amazon AWS-DevOps Pdf인증시험은 현재IT업계에서 아주 인기 있는 시험입니다.많은 IT인사들이 관연 자격증을 취득하려고 노력하고 있습니다.Amazon AWS-DevOps Pdf인증시험에 대한 열기는 식지 않습니다.Amazon AWS-DevOps Pdf자격증은 여러분의 사회생활에 많은 도움이 될 것이며 연봉상승 등 생활보장에 업그레이드 될 것입니다.

AWS-DevOps PDF DEMO:

QUESTION NO: 1
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: 2
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: 3
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: 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

GIAC GSTRT - Shobhadoshi 는 여러분의 IT전문가의 꿈을 이루어 드리는 사이트 입다. Shobhadoshi 제공 Amazon Google Chrome-Enterprise-Administrator시험덤프자료가 광범한 시험준비인사들의 찬양을 받은지 하루이틀일이 아닙니다.이렇게 많은 분들이Shobhadoshi 제공 Amazon Google Chrome-Enterprise-Administrator덤프로 시험을 통과하여 자격증을 취득하였다는것은Shobhadoshi 제공 Amazon Google Chrome-Enterprise-Administrator덤프가 믿을만한 존재라는것을 증명해드립니다. 저희 Amazon SAP C-HRHFC-2411덤프는 모든 시험유형을 포함하고 있는 퍼펙트한 자료기에 한방에 시험패스 가능합니다. Shobhadoshi의Amazon인증 PRAXIS Business-Education-Content-Knowledge-5101덤프는 고객님의 IT인증자격증을 취득하는 소원을들어줍니다. Shobhadoshi는Amazon CompTIA 220-1201응시자들이 처음 시도하는Amazon CompTIA 220-1201시험에서의 합격을 도와드립니다.

Updated: May 28, 2022