當你進入Goldmile-Infobiz網站，你看到每天進入Goldmile-Infobiz網站的人那麼多，不禁感到意外。其實這很正常的，我們Goldmile-Infobiz網站每天給不同的考生提供培訓資料數不勝數，他們都是利用了我們的培訓資料才順利通過考試的，說明我們的Amazon的AWS-DevOps-Engineer-Professional題庫考試認證培訓資料真起到了作用，如果你也想購買，那就不要錯過我們Goldmile-Infobiz網站，你一定會非常滿意的。 Amazon的AWS-DevOps-Engineer-Professional題庫考試認證一直都是IT人士從不缺席的認證，因為它可以關係著他們以後的命運將如何。Amazon的AWS-DevOps-Engineer-Professional題庫考試培訓資料是每個考生必備的考前學習資料，有了這份資料，考生們就可以義無反顧的去考試，這樣考試的壓力也就不用那麼大，而Goldmile-Infobiz這個網站裏的培訓資料是考生們最想要的獨一無二的培訓資料，有了Goldmile-Infobiz Amazon的AWS-DevOps-Engineer-Professional題庫考試培訓資料，還有什麼過不了。 所有的IT人士都熟悉的Amazon的AWS-DevOps-Engineer-Professional題庫考試認證，並且都夢想有那頂最苛刻的認證，這是由被普遍接受的Amazon的AWS-DevOps-Engineer-Professional題庫考試認證的最高級別認證，你可以得到你的職業生涯。
AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional 怎麼樣，你肯定也是這樣認為的吧。
我們都是平平凡凡的普通人，有時候所學的所掌握的東西沒有那麼容易徹底的吸收，所以經常忘記，當我們需要時就拼命的補習，當你看到Goldmile-Infobiz Amazon的AWS-DevOps-Engineer-Professional - AWS Certified DevOps Engineer - Professional題庫考試培訓資料是，你才明白這是你必須要購買的，它可以讓你毫不費力的通過考試，也可以讓你不那麼努力的補習，相信Goldmile-Infobiz，相信它讓你看到你的未來美好的樣子，再苦再難，只要Goldmile-Infobiz還在，總會找到希望的光明。 如果你取得了AWS-DevOps-Engineer-Professional 學習資料認證考試的資格，那麼你就可以更好地完成你的工作。雖然這個考試很難，但是你準備考試時不用那麼辛苦。
除了Amazon 的AWS-DevOps-Engineer-Professional題庫考試，最近最有人氣的還有Cisco，IBM，HP等的各類考試。但是如果你想取得AWS-DevOps-Engineer-Professional題庫的認證資格，Goldmile-Infobiz的AWS-DevOps-Engineer-Professional題庫考古題可以實現你的願望。不要因為對考試沒有信心就放棄考試，因為你完全可以通過Goldmile-Infobiz的考試資料來達成自己的目標。
Amazon AWS-DevOps-Engineer-Professional題庫 - 这个考古題是由Goldmile-Infobiz提供的。
彰顯一個人在某一領域是否成功往往體現在他所獲得的資格證書上，在IT行業也不外如是。所以現在很多人都選擇參加AWS-DevOps-Engineer-Professional題庫資格認證考試來證明自己的實力。但是要想通過AWS-DevOps-Engineer-Professional題庫資格認證卻不是一件簡單的事。不過只要你找對了捷徑，通過考試也就變得容易許多了。這就不得不推薦Goldmile-Infobiz的考試考古題了，它可以讓你少走許多彎路，節省時間幫助你考試合格。
AWS-DevOps-Engineer-Professional題庫題庫資料中的每個問題都由我們專業人員檢查審核，為考生提供最高品質的考古題。如果您希望在短時間內獲得Amazon AWS-DevOps-Engineer-Professional題庫認證，您將永遠找不到比Goldmile-Infobiz更好的產品了。
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
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Updated: May 28, 2022