Shobhadoshi的產品是為你們參加Amazon AWS-DevOps-Engineer-Professional熱門考古題認證考試而準備的。Shobhadoshi提供的培訓資料不僅包括與Amazon AWS-DevOps-Engineer-Professional熱門考古題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熱門考古題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熱門考古題的認證考試就以高分順利通過。 IT認證你考試一般都是為了檢驗考生的相關專業知識和經驗的考試，不是很容易通過的。對於第一次參加IT認證考試的考生來說，選擇一個好的具有針對性的培訓方案是很有必要的。 Shobhadoshi會盡全力幫助你一次性通過AWS-DevOps-Engineer-Professional熱門考古題認證考試，並且還可以鞏固你的IT專業知識。

AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional 這樣可以給你最大的方便。

因為我們Shobhadoshi提供給你配置最優質的類比Amazon的AWS-DevOps-Engineer-Professional - AWS Certified DevOps Engineer - Professional熱門考古題的考試考古題，將你一步一步帶入考試準備之中，我們Shobhadoshi提供我們的保證，我們Shobhadoshi Amazon的AWS-DevOps-Engineer-Professional - AWS Certified DevOps Engineer - Professional熱門考古題的考試試題及答案保證你成功。 Shobhadoshi的AWS-DevOps-Engineer-Professional 最新考題考古題是經過眾多考生檢驗過的資料，可以保證有很高的成功率。如果你用過考古題以後仍然沒有通過考試，Shobhadoshi會全額退款。

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熱門考古題考試認證培訓資料，那種心態將消失的無蹤無影，因為有了Shobhadoshi Amazon的AWS-DevOps-Engineer-Professional熱門考古題考試認證培訓資料，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。

關於Amazon的Amazon AWS-DevOps-Engineer-Professional熱門考古題考試，你一定不陌生吧。

IT行業中很多雄心勃勃的專業人士為了在IT行業中能更上一層樓，離IT頂峰更近一步，都會選擇Amazon AWS-DevOps-Engineer-Professional熱門考古題這個難度較高的認證考試來獲取通認證證書從而獲得行業認可。Amazon AWS-DevOps-Engineer-Professional熱門考古題 的難度比較高所以通過率也比較低。但是報名參加Amazon AWS-DevOps-Engineer-Professional熱門考古題 認證考試是個明智的選擇，因為在如今競爭激烈的IT行業應該要不斷的提升自己。但是您可以選擇很多方式幫你通過考試。

只要你認真學習了Shobhadoshi的考古題，你就可以輕鬆地通過你想要參加的考試。不管你參加IT認證的哪個考試，Shobhadoshi的參考資料都可以給你很大的幫助。

AWS-DevOps-Engineer-Professional PDF DEMO:

QUESTION NO: 1
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: 2
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: 3
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

QUESTION NO: 4
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: 5
Am Amazon EC2 instance with no internet access is running in a Virtual Private Cloud (VPC) and needs to download an object from a restricted Amazon S3 bucket. When the DevOps Engineer tries to gain access to the object, an Access Denied error is received.
What are the possible causes for this error? (Select THREE.)
A. There is an error in the S3 bucket policy.
B. S3 versioning is enabled.
C. The object has been moved to Amazon Glacier.
D. There is an error in the VPC endpoint policy.
E. The S3 bucket default encryption is enabled.
F. There is an error in the IAM role configuration.
Answer: A,D,F

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Updated: May 28, 2022