但是，如果使用了好的資料，即使只有很短的時間來準備，你也完全可以以高分通過考試。不相信嗎？Goldmile-Infobiz的考古題就是這樣的資料。趕快試一下吧。 想通過Amazon AWS-DevOps證照考試 認證考試考試嗎？快將Goldmile-Infobiz的Amazon AWS-DevOps證照考試認證考試的最新練習題及答案加入你的購物車吧！Goldmile-Infobiz已經在網站上為你免費提供部分Amazon AWS-DevOps證照考試 認證考試的練習題和答案，你可以免費下載作為嘗試。相信你對我們的產品會很滿意的。 Goldmile-Infobiz可以帮助你通过AWS-DevOps證照考試考试。
所以，Goldmile-Infobiz的AWS-DevOps證照考試考古題吧。
你已經看到Goldmile-Infobiz Amazon的AWS-DevOps - AWS Certified DevOps Engineer - Professional證照考試考試認證培訓資料，是時候做出選擇了，你甚至可以選擇其他的產品，不過你要知道我們Goldmile-Infobiz帶給你的無限大的利益，也只有Goldmile-Infobiz能給你100%保證成功，Goldmile-Infobiz能讓你有個美好的前程，讓你以後在IT行業有更寬廣的道路可以走，高效率的工作在資訊技術領域。 有了最新詳細的題庫和答案，為您的AWS-DevOps 測試引擎考試做好充分的準備，我們將保證您在考試中取得成功。在購買前，您還可以下載我們提供的AWS-DevOps 測試引擎免費DEMO來試用，這是非常有效的學習資料。
我們都知道，在互聯網普及的時代，需要什麼資訊那是非常簡單的事情，不過缺乏的是品質及適用性的問題。許多人在網路上搜尋Amazon的AWS-DevOps證照考試考試認證培訓資料，卻不知道該如何去相信，在這裏，我向大家推薦Goldmile-Infobiz Amazon的AWS-DevOps證照考試考試認證培訓資料，它在互聯網上點擊率購買率好評率都是最高的，Goldmile-Infobiz Amazon的AWS-DevOps證照考試考試認證培訓資料有部分免費的試用考題及答案，你們可以先試用後決定買不買，這樣就知道Goldmile-Infobiz所有的是不是真實的。
Amazon AWS-DevOps證照考試 - IT認證考試有很多種。
Goldmile-Infobiz是個一直為你提供最新最準確的Amazon AWS-DevOps證照考試認證考試相關資料的網站。為了讓你放心的選擇我們，你在網上可以免費下載Goldmile-Infobiz為你提供的部分考試練習題和答案，作為免費嘗試。Goldmile-Infobiz是能確保你100%的通過Amazon AWS-DevOps證照考試的認證考試。
想參加AWS-DevOps證照考試認證考試嗎？想取得AWS-DevOps證照考試認證資格嗎？沒有充分準備考試的時間的你應該怎麼通過考試呢？其實也並不是沒有辦法，即使只有很短的準備考試的時間你也可以輕鬆通過考試。那麼怎麼才能做到呢？方法其實很簡單，那就是使用Goldmile-Infobiz的AWS-DevOps證照考試考古題來準備考試。
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 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
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Updated: May 28, 2022