DOP-C01真題材料，DOP-C01考試題庫 - Amazon DOP-C01考題資訊 - Royalholidayclubbed

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Royalholidayclubbed是一個專門提供IT認證考試資料的網站，它的考試資料通過率達到100%，這也是大多數考生願意相信Royalholidayclubbed網站的原因之一，Royalholidayclubbed網站一直很關注廣大考生的需求，以最大的能力在滿足考生們的需要，Royalholidayclubbed Amazon的DOP-C01真題材料考試培訓資料是一個空前絕後的IT認證培訓資料，有了它，你將來的的職業生涯將風雨無阻。我們的Royalholidayclubbed的專家團隊利用自己的經驗為參加Amazon DOP-C01真題材料 認證考試的很多人研究出了最新的有效的培訓工具，包括Amazon DOP-C01真題材料 認證考試測試，考前試題，試題答案。我們的Royalholidayclubbed提供的試題及答案和真正的試題有95%的相似性。你在煩惱什麼呢？是因為Amazon的DOP-C01真題材料認證考試而煩惱嗎？確實，DOP-C01真題材料考試是一門很難通過的考試。

AWS Certified DevOps Engineer DOP-C01 還會讓你又一個美好的前程。

如果您在使用我們的Amazon DOP-C01 - AWS Certified DevOps Engineer - Professional真題材料考古題失敗了，我們承諾給您全額退款，您需要的是像我們發送你失敗的DOP-C01 - AWS Certified DevOps Engineer - Professional真題材料考試成績單來申請退款就可以了。速度和高效率當然不可避免，在當今的社會裏，高效率走到哪里都是熱議的話題，所以我們網站為廣大考生設計了一個高效率的培訓資料，可以讓考生迅速領悟，從而考試取得優異的成績。Royalholidayclubbed Amazon的DOP-C01 認證考試解析考試培訓資料可以幫助考生節省大量的時間和精力，考生也可以用多餘的時間和盡力來賺去更多的金錢。

通過Amazon DOP-C01真題材料的考試是不簡單的，選擇合適的培訓是你成功的第一步，選擇好的資訊來源是你成功的保障，而Royalholidayclubbed的產品是有很好的資訊來源保障。如果你選擇了Royalholidayclubbed的產品不僅可以100%保證你通過Amazon DOP-C01真題材料認證考試，還可以為你提供長達一年的免費更新。

Amazon DOP-C01真題材料 - 快点击Royalholidayclubbed的网站吧。

有些網站在互聯網上為你提供高品質和最新的Amazon的DOP-C01真題材料考試學習資料，但他們沒有任何相關的可靠保證，在這裏我要說明的是這Royalholidayclubbed一個有核心價值的問題，所有Amazon的DOP-C01真題材料考試都是非常重要的，但在個資訊化快速發展的時代，Royalholidayclubbed只是其中一個，為什麼大多數人選擇Royalholidayclubbed，是因為Royalholidayclubbed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，這也是大多數考生通過實踐證明了的。

如果你想问什么工具，那当然是Royalholidayclubbed的DOP-C01真題材料考古題了。當你準備DOP-C01真題材料考試的時候，盲目地學習與考試相關的知識是很不理想的學習方法。

DOP-C01 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 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

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Updated: May 28, 2022

by RHC.

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