DOP-C02通過考試：AWS Certified DevOps Engineer - Professional考試即時下載|更新的DOP-C02

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Amazon DOP-C02 Exam Syllabus Topics:

SectionWeightObjectives
Monitoring and Logging15%- Observability and metrics
  • 1. CloudWatch monitoring and alarms
    • 2. Log aggregation and analysis
      Configuration Management and Infrastructure as Code17%- Infrastructure provisioning and automation
      • 1. AWS CloudFormation and CDK usage
        • 2. Configuration tools and automation strategies
          Security and Compliance Automation13%- Security automation in CI/CD and infrastructure
          • 1. IAM policy automation and governance
            • 2. Compliance monitoring and auditing
              SDLC Automation22%- CI/CD pipeline design and implementation
              • 1. Pipeline optimization and scaling
                • 2. Build and deployment automation
                  Resilient Cloud Solutions15%- High availability and fault tolerance design
                  • 1. Multi-AZ and multi-region architectures
                    • 2. Disaster recovery strategies
                      Incident and Event Management18%- Operational response and recovery
                      • 1. Automated event-driven responses
                        • 2. Incident detection and remediation

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                          最新的 AWS Certified Professional DOP-C02 免費考試真題 (Q23-Q28):

                          問題 #23
                          A company has a single developer writing code for an automated deployment pipeline. The developer is storing source code in an Amazon S3 bucket for each project. The company wants to add more developers to the team but is concerned about code conflicts and lost work The company also wants to build a test environment to deploy newer versions of code for testing and allow developers to automatically deploy to both environments when code is changed in the repository.
                          What is the MOST efficient way to meet these requirements?

                          答案：A

                          解題說明：
                          Creating an AWS CodeCommit repository for each project, using the main branch for production code, and creating a testing branch for code deployed to testing will meet the requirements. AWS CodeCommit is a managed revision control service that hosts Git repositories and works with all Git-based tools1. By using feature branches to develop new features and pull requests to merge code to testing and main branches, the developers can avoid code conflicts and lost work, and also implement code reviews and approvals. Option B is incorrect because creating another S3 bucket for each project for testing code and using an AWS Lambda function to promote code changes between testing and production buckets will not provide the benefits of revision control, such as tracking changes, branching, merging, and collaborating. Option C is incorrect because using the main branch for production and test code with different deployment pipelines for each environment will not allow the developers to test their code changes before deploying them to production. Option D is incorrect because enabling versioning and branching on each S3 bucket will not work with Git-based tools and will not provide the same level of revision control as AWS CodeCommit. References:
                          AWS CodeCommit
                          Certified DevOps Engineer - Professional (DOP-C02) Study Guide (page 182)


                          問題 #24
                          A company's EC2 fleet must maintain up-to-date security patches and compliance reporting.
                          Which solution meets these requirements?

                          答案：A

                          解題說明：
                          AWS Systems Manager Patch Manager automates patch scanning and installation. Integrating with AWS Config enables compliance reporting and auto-remediation. This provides centralized patch compliance management per AWS Ops best practices.


                          問題 #25
                          A company deploys an application to two AWS Regions. The application creates and stores objects in an Amazon S3 bucket that is in the same Region as the application. Both deployments of the application need to have access to all the objects and their metadata from both Regions. The company has configured two-way replication between the S3 buckets and has enabled S3 Replication metrics on each S3 bucket.
                          A DevOps engineer needs to implement a solution that retries the replication process if an object fails to replicate.
                          Which solution will meet these requirements?

                          答案：A

                          解題說明：
                          The requirement is to retry the replication process, not to manually copy the object with PutObject. S3 Batch Replication is built for replicating existing objects and can filter objects by replication status. AWS documentation states that Batch Replication can include objects with ObjectReplicationStatus set to FAILED to retry objects that previously failed replication. S3 Replication metrics also allow S3 Event Notifications when objects fail to replicate to a destination Region. Therefore, Lambda should react to the failed-replication notification and start an S3 Batch Operations Batch Replication job for the failed object. Options A, B, and C manually copy the object, which is not the same as retrying native S3 replication and can mishandle replication semantics, metadata, encryption, ownership, or status tracking.


                          問題 #26
                          A company is performing vulnerability scanning for all Amazon EC2 instances across many accounts. The accounts are in an organization in AWS Organizations. Each account's VPCs are attached to a shared transit gateway. The VPCs send traffic to the internet through a central egress VPC. The company has enabled Amazon Inspector in a delegated administrator account and has enabled scanning for all member accounts.
                          A DevOps engineer discovers that some EC2 instances are listed in the "not scanning" tab in Amazon Inspector.
                          Which combination of actions should the DevOps engineer take to resolve this issue? (Choose three.)

                          答案：A,B,D


                          問題 #27
                          A company is building a web and mobile application that uses a serverless architecture powered by AWS Lambda and Amazon API Gateway The company wants to fully automate the backend Lambda deployment based on code that is pushed to the appropriate environment branch in an AWS CodeCommit repository The deployment must have the following:
                          * Separate environment pipelines for testing and production
                          * Automatic deployment that occurs for test environments only
                          Which steps should be taken to meet these requirements'?

                          答案：C

                          解題說明：
                          Explanation
                          The correct approach to meet the requirements for separate environment pipelines and automatic deployment for test environments is to create two AWS CodePipeline configurations, one for each environment. The production pipeline should have a manual approval step to ensure that changes are reviewed before being deployed to production. A single AWS CodeCommit repository with separate branches for each environment allows for organized and efficient code management. Each CodePipeline retrieves the source code from the appropriate branch in the repository. The deployment step utilizes AWS CloudFormation to deploy the Lambda functions, ensuring that the infrastructure as code is maintained and version-controlled.
                          References:
                          * AWS Lambda with Amazon API Gateway: Using AWS Lambda with Amazon API Gateway
                          * Tutorial on using Lambda with API Gateway: Tutorial: Using Lambda with API Gateway
                          * AWS CodePipeline automatic deployment: Set Up a Continuous Deployment Pipeline Using AWS CodePipeline
                          * Building a pipeline for test and production stacks: Walkthrough: Building a pipeline for test and production stacks


                          問題 #28
                          ......

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