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一流的最新DOP-C01考證|第一次嘗試輕鬆學習並通過考試＆頂級的Amazon AWS Certified DevOps Engineer - Professional

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AWS-DevOps考試涵蓋了廣泛的主題，包括自動化、基礎架構即代碼、監控和日誌記錄、安全和合規性。候選人需要對AWS服務和工具有深刻的理解，以及設計和管理可擴展、容錯和高可用系統的經驗。考試還測試了實現持續集成和持續交付（CI / CD）管道的能力，執行測試和部署自動化，以及在AWS環境中解決常見問題的能力。

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Amazon AWS-DevOps（AWS認證的DevOps工程師-專業版（DOP-C01））認證考試旨在為想要展示其在AWS平台上實施和管理DevOps實踐方面專業知識的專業人士設計。此認證適合有開發、部署和維護AWS應用程序和服務方面DevOps理念的經驗的個人。此考試測試候選人對各種DevOps工具、實踐與AWS服務（包括持續交付、基礎設施即代碼、監控和日誌記錄以及自動化）的知識。

最新的 AWS Certified DevOps Engineer DOP-C01 免費考試真題 (Q400-Q405):

問題 #400
A social networking portal experiences latency and throughput issues due to an increased number of users.
Application servers use very large datasets from an Amazon RDS database, which creates a performance
bottleneck on the database.
Which AWS service should be used to improve performance?

• A. ELB Application Load Balancer
• B. Amazon ElastiCache
• C. Auto Scaling
• D. Amazon SQS

答案：B

問題 #401
A Solutions Architect is building an application on AWS that will require 20,000 IOPS on a particular volume
to support a media event. Once the event ends, the IOPS need is no longer required. The marketing team asks
the Architect to build the platform to optimize storage without incurring downtime.
How should the Architect design the platform to meet these requirements?

• A. Stop the Amazon EC2 instance and provision IOPS for the EBS volume.
• B. Change the EBS volume type to Provisioned IOPS.
• C. Enable an API Gateway to change the endpoints for the Amazon EC2 instances.
• D. Change the Amazon EC2 instant types.

答案：B

問題 #402
You are building a deployment system on AWS. You will deploy new code by bootstrapping instances in a private subnet in a VPC at runtime using UserData scripts pointing to an S3 zip file object, where your code is stored. An ELB in a public subnet has network interfaces and connectivity to the instances. Requests from users of the system are routed to the ELB via a Route53 A Record Alias. You do not use any VPC endpoints.
Which is a risk of using this approach?

• A. The instances cannot be in a private subnet if the ELB is in a public one.
• B. Kernel changes to the base AMI may render the code inoperable.
• C. If the NAT routing for the private subnet fails, deployments fail.
• D. Route53 Alias records do not always update dynamically with ELB network changes after deploys.

答案：C

解題說明：
Since you are not using VPC endpoints, outbound requests for the code sitting in S3 are routed though the NAT for the VPC's private subnets. If this networking fails, runtime bootstrapping through code download will fail due to network unavailability and lack of access to the Internet, and thus Amazon S3.
Reference:
http://docs.aws.amazon.com/AmazonVPC/latest/UserGuide/VPC_NAT_Instance.html

問題 #403
A company is using AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline to deploy applications automatically to an Amazon EC2 instance. A DevOps Engineer needs to perform a security assessment scan of the operating system on every application deployment to the environment.
How should this be automated?

• A. Use Amazon CloudWatch Events to monitor for CodePipeline notifications of a successful code deployment and configure CloudWatch Events to trigger an AWS X-Ray scan.
• B. Use Amazon Inspector as a CodePipeline task after the successful use of CodeDeploy to deploy the code to the systems.
• C. Use Amazon CloudWatch Events to monitor for Auto Scaling event notifications of new instances and configure CloudWatch Events to trigger an Amazon Inspector scan.
• D. Use Amazon CloudWatch Events to monitor for AWS CodeDeploy notifications of a successful code deployment and configure CloudWatch Events to trigger an Amazon Inspector scan.

答案：D

解題說明：
Explanation/Reference:

問題 #404
An application has microservices spread across different AWS accounts and is integrated with an on-premises legacy system for some of its functionality. Because of the segmented architecture and missing logs, every time the application experiences issues, it is taking too long to gather the logs to identify the issues. A DevOps Engineer must fix the log aggregation process and provide a way to centrally analyze the logs.
Which is the MOST efficient and cost-effective solution?

• A. Collect system logs and application logs using the Amazon CloudWatch Logs agent. Install the CloudWatch Logs agent on the on-premises servers. Transfer all logs from AWS to the on-premises data center. Use an Amazon Elasticsearch Logstash Kibana stack to analyze logs on premises.
• B. Collect system logs and application logs by using the Amazon CloudWatch Logs agent. Use the Amazon S3 API to import on-premises logs. Store all logs in S3 buckets in individual accounts. Use Amazon Macie to write a query to search for the required specific event-related data point.
• C. Collect system logs and application logs by using the Amazon CloudWatch Logs agent. Install a CloudWatch Logs agent for on-premises resources. Store all logs in an S3 bucket in a central account. Set up an Amazon S3 trigger and an AWS Lambda function to analyze incoming logs and automatically identify anomalies. Use Amazon Athena to run ad hoc queries on the logs in the central account.
• D. Collect system logs and application logs by using the Amazon CloudWatch Logs agent. Use the Amazon S3 API to export on-premises logs, and store the logs in an S3 bucket in a central account. Build an Amazon EMR cluster to reduce the logs and derive the root cause.

答案：A

問題 #405
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