想獲得Amazon AWS-DevOps-Engineer-Professional認證考試認證，就來Shobhadoshi網站！為您提供最好的學習資料，讓您不僅可以通過AWS-DevOps-Engineer-Professional認證考試考試，還可以在短時間內獲得良好的成績。我們已經幫助很多的考生順利順利通過AWS-DevOps-Engineer-Professional認證考試考試，獲取證書，這是一個難得的機會。現在，購買Amazon AWS-DevOps-Engineer-Professional認證考試題庫之后，您的郵箱會收到我們的郵件，您可以及時下載您購買的AWS-DevOps-Engineer-Professional認證考試題庫并訪問，這樣可以全面地了解詳細的考試試題以及答案。 擁有Amazon AWS-DevOps-Engineer-Professional認證考試認證考試證書可以幫助在IT領域找工作的人獲得更好的就業機會，也將會為成功的IT事業做好鋪墊。 在取得您第一個AWS-DevOps-Engineer-Professional認證考試認證后，您還可以參加其它的IT認證考試，Shobhadoshi的考古題能幫助獲得更多的成功。

AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional 現在世界上有很多 IT人才，IT行業競爭激烈。

也有關於Amazon AWS-DevOps-Engineer-Professional - AWS Certified DevOps Engineer - Professional認證考試認證考試的考試練習題和答案。 不需要大量的時間和金錢，僅需30個小時左右的特殊培訓，你就能輕鬆通過你的第一次參加的Amazon AWS-DevOps-Engineer-Professional 題庫更新資訊 認證考試。Shobhadoshi能為你提供與真實的考試題目有緊密相似性的考試練習題。

Shobhadoshi的產品是為你們參加Amazon AWS-DevOps-Engineer-Professional認證考試認證考試而準備的。Shobhadoshi提供的培訓資料不僅包括與Amazon AWS-DevOps-Engineer-Professional認證考試認證考試相關的資訊技術培訓資料，來鞏固專業知識，而且還有準確性很高的關於Amazon AWS-DevOps-Engineer-Professional認證考試的認證考試的相關考試練習題和答案。可以保證你第一次參加Amazon AWS-DevOps-Engineer-Professional認證考試的認證考試就以高分順利通過。

Amazon AWS-DevOps-Engineer-Professional認證考試 - 或者你也可以選擇為你免費更新考試考古題。

來吧，讓暴風雨來得更猛烈些吧！那些想通過IT認證的考生面臨那些考前準備將束手無策，但是又不得不準備，從而形成了那種急躁不安的心理狀態。不過，自從有了Shobhadoshi Amazon的AWS-DevOps-Engineer-Professional認證考試考試認證培訓資料，那種心態將消失的無蹤無影，因為有了Shobhadoshi Amazon的AWS-DevOps-Engineer-Professional認證考試考試認證培訓資料，他們可以信心百倍，不用擔心任何考不過的風險，當然也可以輕鬆自如的面對考試了，這不僅是心理上的幫助，更重要的是通過考試獲得認證，幫助他們拼一個美好的明天。

Shobhadoshi長年以來一直向大家提供關于IT認證考試相關的學習資料。Amazon的AWS-DevOps-Engineer-Professional認證考試題庫由世界各地的資深IT工程師組成的專業團隊制作完成，包含最新的考試試題，并附有全部正確的答案，幫助考生通過他們認為很難的AWS-DevOps-Engineer-Professional認證考試考試。

AWS-DevOps-Engineer-Professional 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 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: 4
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

QUESTION NO: 5
A DevOps Engineer is using AWS CodeDeploy across a fleet of Amazon EC2 instances in an
EC2 Auto Scaling group. The associated CodeDeploy deployment group, which is integrated with EC2
Auto Scaling, is configured to perform in-place deployments with CodeDeployDefault.OneAtATime.
During an ongoing new deployment, the Engineer discovers that, although the overall deployment finished successfully, two out of five instances have the previous application revision deployed. The other three instances have the newest application revision.
What is likely causing this issue?
A. A failed AfterInstall lifecycle event hook caused the CodeDeploy agent to roll back to the previous version on the affected instances.
B. EC2 Auto Scaling launched two new instances while the new deployment had not yet finished, causing the previous version to be deployed on the affected instances.
C. The CodeDeploy agent was not installed in two affected instances.
D. The two affected instances failed to fetch the new deployment.
Answer: B

Amazon的CompTIA XK0-005考試雖然很艱難，但我們考生要用最放鬆的心態來面對一切艱難，因為Shobhadoshi Amazon的CompTIA XK0-005考試培訓資料會幫助我們順利通過考試，有了它我們就不會害怕，不會迷茫。 充分利用SAP C-WME-2506題庫你將得到不一樣的效果，這是一個針對性強，覆蓋面廣，更新快，最完整的學習資料，保證您一次通過SAP C-WME-2506考試。 購買我們Shobhadoshi Amazon的SAP C_AIG_2412考試認證的練習題及答案，你將完成你人生中最重要的考前準備問題，你將得到最高品質的培訓資料，今天購買我們的產品，是你為自己打開了新的大門，也是為了更美好的未來，也使你付出最小努力，獲得最大的成功。 你很快就可以獲得Amazon Python Institute PCET-30-01 認證考試的證書。 Amazon CLF-C02 - 我受不了現在的生活和工作了，想做別的工作。

Updated: May 28, 2022