而Goldmile-Infobiz正好有這些行業專家為你提供這些考試練習題和答案來幫你順利通過考試。我們的Goldmile-Infobiz提供的考試練習題和答案有100%的準確率。購買了Goldmile-Infobiz的產品你就可以很容易地獲得Amazon的認證證書，這樣你在IT行業中又有了個非常大的提升。 在這裏我要說明的是這Goldmile-Infobiz一個有核心價值的問題，所有Amazon的AWS-DevOps認證題庫考試都是非常重要的，但在個資訊化快速發展的時代，Goldmile-Infobiz只是其中一個，為什麼大多數人選擇Goldmile-Infobiz，是因為Goldmile-Infobiz所提供的考題資料一定能幫助你通過測試，，為什麼呢，因為它提供的資料都是最新的培訓工具不斷更新，不斷變換的認證考試目標，為你提供最新的考試認證研究資料，有了Goldmile-Infobiz Amazon的AWS-DevOps認證題庫，你看到考試將會信心百倍，不用擔心任何考不過的風險，讓你毫不費力的獲得認證。 因為小小的投資時可以換來很大的收穫，使用Goldmile-Infobiz提供的Amazon AWS-DevOps認證題庫認證考試測試題目和練習題可以確保你通過考試的。
我們承諾將盡力幫助你通過Amazon AWS-DevOps認證題庫 認證考試。
AWS Certified DevOps Engineer AWS-DevOps認證題庫 - AWS Certified DevOps Engineer - Professional 空想可以使人想出很多絕妙的主意，但卻辦不了任何事情。 我相信你對我們的產品將會很有信心。如果你選擇使用Goldmile-Infobiz的產品，Goldmile-Infobiz可以幫助你100%通過你的一次參加的Amazon AWS-DevOps 考試證照 認證考試。
Goldmile-Infobiz的AWS-DevOps認證題庫考古題絕對是你準備考試並提高自己技能的最好的選擇。你要相信Goldmile-Infobiz可以給你一個美好的未來。Goldmile-Infobiz的AWS-DevOps認證題庫資料不僅能讓你通過考試，還可以讓你學到關於AWS-DevOps認證題庫考試的很多知識。
Amazon AWS-DevOps認證題庫 - 比賽是這樣，同樣考試也是這樣的。
還在為怎樣才能順利通過Amazon AWS-DevOps認證題庫 認證考試而苦惱嗎？還在苦苦等待Amazon AWS-DevOps認證題庫 認證考試的最新資料嗎？Goldmile-Infobiz研究出了最新的Amazon AWS-DevOps認證題庫 認證考試相關資料。想通過Amazon AWS-DevOps認證題庫 認證考試考試嗎？快將Goldmile-Infobiz的Amazon AWS-DevOps認證題庫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認證題庫 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。利用它你可以很輕鬆地通過考試。我們承諾，如果你使用了Goldmile-Infobiz的最新的Amazon AWS-DevOps認證題庫 認證考試練習題和答案卻考試失敗，Goldmile-Infobiz將會全額退款給你。
但是，和考試的重要性一樣，這個考試也是非常難的。要通过考试是有些难，但是不用担心。
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 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: 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