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AWS Certified DevOps Engineer - Professional（DOP-C01）考試旨在測試專業人士在Amazon Web Services（AWS）平台上的DevOps工程領域的技能和知識。該考試適用於已持有AWS Certified Developer-Associate或AWS Certified SysOps Administrator-Associate認證並具有在DevOps工程師角色中工作經驗的個人。
AWS 認證 DevOps 工程師 - 專業考試覆蓋了廣泛的主題，包括部署自動化、監控、日誌記錄和性能優化。它還包括與安全、合規性和治理相關的主題。該考試旨在驗證候選人在 AWS 上設計、部署和管理可擴展的容錯系統的能力。
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最新的 AWS Certified DevOps Engineer AWS-DevOps-Engineer-Professional 免費考試真題 (Q347-Q352):
問題 #347
A rapidly growing company wants to scale for Developer demand for AWS development environments.
Development environments are created manually in the AWS Management Console. The Networking team uses AWS CloudFormation to manage the networking infrastructure, exporting stack output values for the Amazon VPC and all subnets. The development environments have common standards, such as Application Load Balancers, Amazon EC2 Auto Scaling groups, security groups, and Amazon DynamoDB tables.
To keep up with the demand, the DevOps Engineer wants to automate the creation of development environments. Because the infrastructure required to support the application is expected to grow, there must be a way to easily update the deployed infrastructure. CloudFormation will be used to create a template for the development environments.
Which approach will meet these requirements and quickly provide consistent AWS environments for Developers?
- A. Use Fn:ImportValueintrinsic functions in the Parameters section of the master template to retrieve Virtual Private Cloud (VPC) and subnet values. Define the development resources in the order they need to be created in the CloudFormation nested stacks. Use the CreateChangeSetand ExecuteChangeSet commands to update existing development environments.
- B. Use Fn:ImportValueintrinsic functions in the Resources section of the template to retrieve Virtual Private Cloud (VPC) and subnet values. Use CloudFormation StackSets for the development environments, using the Count inputparameter to indicate the number of environments needed. use the UpdateStackSetcommand to update existing development environments.
- C. Use nested stacks to define common infrastructure components. To access the exported values, use TemplateURLto reference the Networking team's template. To retrieve Virtual Private Cloud (VPC) and subnet values, use Fn::ImportValueintrinsic functions in the Parameters section of the master template. Use the CreateChangeSetand ExecuteChangeSetcommands to update existing development environments.
- D. Use nested stacks to define common infrastructure components. Use Fn::ImportValueintrinsic functions with the resources of the nested stack to retrieve Virtual Private Cloud (VPC) and subnet values.
Use the CreateChangeSetand ExecuteChangeSetcommands to update existing development environments.
答案：B
解題說明：
Explanation/Reference:
問題 #348
Your application has an Auto Scaling group of m3.large instances running an application that receives messages born an Amazon SQS queue.
After a while, the number of instances reaches the maximum set for the group and the number of messages on the queue continues to increase.
You have discovered that a third- party library used by the application has a bug that causes a memory leak.
What cost-effective steps can you take to continue message processing while the library developer fixes the bug?
- A. Use application monitoring on the instance to restart the application when memory usage reaches a defined level.
- B. Use Amazon EC2 instance memory usage CloudWatch metrics to raise alerts when they reach a defined level and send a message to Auto Scaling to fail the instance health check.
- C. Enable Elastic Load Balancing health checks for the Auto Scaling group.
When Elastic Load Balancing has detected a failure, Auto Scaling will terminate the failing application's instance and launch a new one.
- D. Create a new Auto Scaling launch configuration to use the r3.large instance type.
Update the Auto Scaling group with the new launch configuration.
答案：D
問題 #349
A company has developed a Node.js web application which provides REST services to store and retrieve time series data. The web application is built by the Development team on company laptops, tested locally, and manually deployed to a single on-premises server, which accesses a local MySQL database. The company is starting a trial in two weeks, during which the application will undergo frequent updates based on customer feedback. The following requirements must be met:
- The team must be able to reliably build, test, and deploy new updates on a daily basis, without downtime or degraded performance.
- The application must be able to scale to meet an unpredictable number of concurrent users during the trial.
Which action will allow the team to quickly meet these objectives?
- A. Modify the application to use Amazon DynamoDB instead of a local MySQL database. Use AWS OpsWorks to create a stack for the application with a DynamoDB layer, an Application Load Balancer layer, and an Amazon EC2 instance layer. Use a Chef recipe to build the application and a Chef recipe to deploy the application to the EC2 instance layer. Use custom health checks to run unit tests on each instance with rollback on failure.
- B. Configure AWS Elastic Beanstalk to automatically build the application using AWS CodeBuild and to deploy it to a test environment that is configured to support auto scaling. Create a second Elastic Beanstalk environment for production. Use Amazon RDS to store data. When new versions of the applications have passed all tests, use Elastic Beanstalk `swap cname' to promote the test environment to production.
- C. Create two Amazon Lightsail virtual private servers for Node.js; one for test and one for production.
Build the Node.js application using existing process and upload it to the new Lightsail test server using the AWS CLI. Test the application, and if it passes all tests, upload it to the production server. During the trial, monitor the production server usage, and if needed, increase performance by upgrading the instance type.
- D. Develop an AWS CloudFormation template to create an Application Load Balancer and two Amazon EC2 instances with Amazon EBS (SSD) volumes in an Auto Scaling group with rolling updates enabled. Use AWS CodeBuild to build and test the Node.js application and store it in an Amazon S3 bucket. Use user-data scripts to install the application and the MySQL database on each EC2 instance.
Update the stack to deploy new application versions.
答案：B
解題說明：
https://docs.aws.amazon.com/codebuild/latest/userguide/sample-elastic-beanstalk.html#sample- elastic-beanstalk-eb-cli
問題 #350
A company is using an AWS CodeBuild project to build and package an application. The packages are copied to a shared Amazon S3 bucket before being deployed across multiple AWS accounts.
The buildspec.yml file contains the following:
The DevOps Engineer has noticed that anybody with an AWS account is able to download the artifacts.
What steps should the DevOps Engineer take to stop this?
- A. Modify the post_buildto command to use --acl public-readand configure a bucket policy that grants read access to the relevant AWS accounts only.
- B. Modify the post_build command to remove --acl authenticated-readand configure a bucket policy that allows read access to the relevant AWS accounts only.
- C. Configure a default ACL for the S3 bucket that defines the set of authenticated users as the relevant AWS accounts only and grants read-only access.
- D. Create an S3 bucket policy that grants read access to the relevant AWS accounts and denies read access to the principal "*"
答案：A
解題說明：
Explanation/Reference:
問題 #351
A company is using AWS to deploy an application. The development team must automate the deployments. The team has created an AWS CodePipeline pipeline to deploy the application to Amazon EC2 instances using AWS CodeDeploy after it has been built using AWS CodeBuild.
The team wants to add automated testing to the pipeline to confirm that the application is healthy before deploying the code to the EC2 instances. The team also requires a manual approval action before the application is deployed, even if the tests are successful. The testing and approval must be accomplished at the lowest costs, using the simplest management solution.
Which solution will meet these requirements?
- A. Create a new pipeline that uses a source action that gets the code from the same repository as the first pipeline.
Add a deploy action to deploy the code to a test environment.
Use a test action using AWS Lambda to test the deployment.
Add a manual approval action by using Amazon SNS to notify the team, and add a deploy action to deploy the application to the next stage.
- B. Create a manual approval action after the build action of the pipeline.
Use Amazon SNS to inform the team of the stage being triggered.
Next, add a test action using CodeBuild to perform the required tests.
At the end of the pipeline, add a deploy action to deploy the application to the next stage.
- C. Create a test action after the CodeBuild build of the pipeline.
Configure the action to use CodeBuild to perform the required test.
If these tests are successful, mark the action as successful.
Add a manual approval action that uses Amazon SNS to notify the team, and add a deploy action to deploy the application to the next stage.
- D. Create a test action after the build action.
Use a Jenkins server on Amazon EC2 to perform the required tests and mark the action as successful if the tests pass.
Create a manual approval action that uses Amazon SQS to notify the team and add a deploy action to deploy the application to the next stage.
答案：C
問題 #352
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