在這個競爭激烈的IT行業中，擁有一些認證證書是可以幫助你步步高升的。很多公司升職加薪的依據就是你擁有的認證證書的含金量。Amazon AWS-DevOps-Engineer-Professional題庫最新資訊認證考試就是個含金量很高的考試。 Goldmile-Infobiz為此分析了他們失敗的原因，我們得出的結論是他們沒有經過針對性的培訓。現在Goldmile-Infobiz的專家們為Amazon AWS-DevOps-Engineer-Professional題庫最新資訊 認證考試研究出了針對性的訓練項目，可以幫你花少量時間和金錢卻可以100%通過考試。 Goldmile-Infobiz保證你第一次嘗試通過Amazon的AWS-DevOps-Engineer-Professional題庫最新資訊考試取得認證，Goldmile-Infobiz會和你站在一起，與你同甘共苦。
AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional 因為這是一個可以保證一次通過考試的資料。
AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional題庫最新資訊 - AWS Certified DevOps Engineer - Professional Goldmile-Infobiz之所以能幫助每個IT人士，是因為它能證明它的能力。 周圍有很多朋友都通過了Amazon的AWS-DevOps-Engineer-Professional 認證資料認證考試嗎？他們都是怎麼做到的呢？就讓Goldmile-Infobiz的網站來告訴你吧。Goldmile-Infobiz的AWS-DevOps-Engineer-Professional 認證資料考古題擁有最新最全的資料，為你提供優質的服務，是能讓你成功通過AWS-DevOps-Engineer-Professional 認證資料認證考試的不二選擇，不要再猶豫了，快來Goldmile-Infobiz的網站瞭解更多的資訊，讓我們幫助你通過考試吧。
它就是Goldmile-Infobiz的AWS-DevOps-Engineer-Professional題庫最新資訊考古題。這是一個高效率的資料，它可以在短時間內為考試做好準備。因為這個考古題的命中率非常高，只要你認真記住考古題裏面出現的問題和答案，那麼你就可以通過AWS-DevOps-Engineer-Professional題庫最新資訊考試。
Amazon AWS-DevOps-Engineer-Professional題庫最新資訊 - Goldmile-Infobiz提供的考試練習題的答案是非常準確的。
你在擔心如何通過可怕的Amazon的AWS-DevOps-Engineer-Professional題庫最新資訊考試嗎？不用擔心，有Goldmile-Infobiz Amazon的AWS-DevOps-Engineer-Professional題庫最新資訊考試培訓資料在手，任何IT考試認證都變得很輕鬆自如。我們Goldmile-Infobiz Amazon的AWS-DevOps-Engineer-Professional題庫最新資訊考試培訓資料是Amazon的AWS-DevOps-Engineer-Professional題庫最新資訊考試認證準備的先鋒。
我相信不論在哪個行業工作的人都希望自己有很好的職業前景。當然在競爭激烈的IT行業裏面也不例外。
AWS-DevOps-Engineer-Professional PDF DEMO:
QUESTION NO: 1
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: 2
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: 3
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: 4
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: 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