試験の準備方法-正確的なDOP-C02資格トレーリング試験-真実的なDOP-C02関連資格知識

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Amazon DOP-C02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Monitoring and Logging15%- Implement logging and analysis
  • 1. Use AWS X-Ray for tracing
  • 2. Centralize logs with CloudWatch Logs
  • 3. Analyze logs for troubleshooting and security
- Automate incident response
  • 1. Set up event-driven actions with Amazon EventBridge
  • 2. Implement alerting and notification workflows
  • 3. Automate remediation and scaling
- Implement monitoring solutions
  • 1. Monitor infrastructure, applications, and costs
  • 2. Use Amazon CloudWatch for metrics and alarms
  • 3. Create dashboards and insights
Topic 2: Security, Governance, and Compliance17%- Enforce governance and compliance
  • 1. Implement compliance rules and audits
  • 2. Use AWS Config and AWS Organizations
  • 3. Manage access and permissions at scale
- Implement security controls
  • 1. Encrypt data at rest and in transit
  • 2. Secure secrets and credentials
  • 3. Manage IAM for pipelines and environments
- Automate security and compliance
  • 1. Use AWS Security Hub and AWS Shield
  • 2. Detect and remediate violations automatically
  • 3. Integrate security into CI/CD pipelines
Topic 3: Incident and Event Response14%- Automate event management
  • 1. Classify and prioritize events
  • 2. Automate common operational tasks
  • 3. Integrate with ticketing and workflow systems
- Manage incidents and outages
  • 1. Troubleshoot complex issues
  • 2. Coordinate response and recovery
  • 3. Document and learn from events
- Improve operational processes
  • 1. Implement feedback loops
  • 2. Optimize response time and efficiency
  • 3. Update runbooks and playbooks
Topic 4: Resilient Cloud Solutions15%- Ensure reliability and scalability
  • 1. Design for fault tolerance
  • 2. Optimize performance and cost
  • 3. Manage capacity and elasticity
- Implement disaster recovery
  • 1. Pilot light, warm standby, and active-active
  • 2. Test and validate recovery plans
  • 3. Backup and restore strategies
- Design high availability architectures
  • 1. Use Route 53 for routing and failover
  • 2. Implement auto scaling and load balancing
  • 3. Multi-AZ and multi-region deployments
Topic 5: SDLC Automation22%- Automate testing and validation
  • 1. Security and compliance testing
  • 2. Automate quality gates
  • 3. Unit, integration, and performance testing
- Implement CI/CD pipelines
  • 1. Integrate version control systems
  • 2. Automate build, test, and deployment stages
  • 3. Use AWS CodePipeline, CodeBuild, CodeDeploy
- Automate software release processes
  • 1. Manage artifacts and dependencies
  • 2. Implement deployment strategies
  • 3. Automate rollback procedures
Topic 6: Configuration Management and Infrastructure as Code17%- Implement infrastructure as code
  • 1. Manage templates and stacks
  • 2. Enforce configuration standards
  • 3. Use AWS CloudFormation, Terraform, or AWS CDK
- Manage infrastructure deployments
  • 1. Provision and update resources automatically
  • 2. Manage multi-account and multi-region environments
  • 3. Implement version control for configurations
- Automate configuration management
  • 1. Detect and remediate configuration drift
  • 2. Maintain consistent configurations
  • 3. Use AWS Systems Manager, Ansible, or Puppet

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Amazon AWS Certified DevOps Engineer - Professional 認定 DOP-C02 試験問題 (Q296-Q301):

質問 # 296
A company is implementing a CI/CD pipeline for an application by using AWS CodePipeline and AWS CodeBuild. The company needs a solution to run unit tests and automatically generate code coverage reports before any code is deployed to production. The CI/CD pipeline execution must fail if the code coverage is less than 80%.
Which solution will meet these requirements?

正解：D

解説：
AWS CodeBuild natively integrates with AWS CodePipeline as a test action and is designed for running automated tests during CI/CD execution. A buildspec.yml file defines the build commands, phases, and exit conditions. By adding test framework commands such as pytest with coverage or JaCoCo to the build phase, the build can produce a coverage report. The buildspec can then evaluate the coverage percentage and call exit
1 if coverage is below 80%, which causes the CodeBuild job to fail with a non-zero exit code, which in turn causes the CodePipeline stage to fail and blocks deployment to production. This requires no additional services or schedulers. Option A relies on a scheduled EventBridge rule, which cannot fail an in-progress pipeline execution in real time. Option B adds Step Functions orchestration unnecessarily. Option D requires managing a Jenkins server, which increases operational overhead significantly.


質問 # 297
A company uses an AWS CodeCommit repository to store its source code and corresponding unit tests. The company has configured an AWS CodePipeline pipeline that includes an AWS CodeBuild project that runs when code is merged to the main branch of the repository.
The company wants the CodeBuild project to run the unit tests. If the unit tests pass, the CodeBuild project must tag the most recent commit.
How should the company configure the CodeBuild project to meet these requirements?

正解：A

解説：
Step 1: Using Native Git in CodeBuildTo meet the requirement of running unit tests and tagging the most recent commit if the tests pass, the CodeBuild project should be configured to use native Git to clone the CodeCommit repository. Native Git support allows full functionality for managing the repository, including the ability to create and push tags.
Action: Configure the CodeBuild project to use native Git to clone the repository and run the tests.
Why: Using native Git provides flexibility for managing tags and other repository operations after the tests are successfully executed.
Step 2: Tagging the Most Recent CommitOnce the unit tests pass, the CodeBuild project can use native Git to create a tag for the most recent commit and push that tag to the repository. This ensures that the tagged commit is linked to the test results.
Action: Configure the project to use native Git to create and push a tag to the repository if the tests pass.
Why: This ensures the correct commit is tagged automatically, streamlining the workflow.
Reference: AWS documentation on AWS CodeBuild and Git integration.
This corresponds to Option A: Configure the CodeBuild project to use native Git to clone the CodeCommit repository. Configure the project to run the unit tests. Configure the project to use native Git to create a tag and to push the Git tag to the repository if the code passes the unit tests.


質問 # 298
A company is implementing an Amazon Elastic Container Service (Amazon ECS) cluster to run its workload.
The company architecture will run multiple ECS services on the cluster. The architecture includes an Application Load Balancer on the front end and uses multiple target groups to route traffic.
A DevOps engineer must collect application and access logs. The DevOps engineer then needs to send the logs to an Amazon S3 bucket for near-real-time analysis.
Which combination of steps must the DevOps engineer take to meet these requirements? (Choose three.)

正解：A、B、F

解説：
https://docs.aws.amazon.com/AmazonECS/latest/developerguide/ecs-logging-monitoring.html


質問 # 299
A DevOps engineer manages a web application that runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The instances run in an EC2 Auto Scaling group across multiple Availability Zones. The engineer needs to implement a deployment strategy that:
Launches a second fleet of instances with the same capacity as the original fleet.
Maintains the original fleet unchanged while the second fleet is launched.
Transitions traffic to the second fleet when the second fleet is fully deployed.
Terminates the original fleet automatically 1 hour after transition.
Which solution will satisfy these requirements?

正解：C


質問 # 300
A DevOps engineer has implemented a Cl/CO pipeline to deploy an AWS Cloud Format ion template that provisions a web application. The web application consists of an Application Load Balancer (ALB) a target group, a launch template that uses an Amazon Linux 2 AMI an Auto Scaling group of Amazon EC2 instances, a security group and an Amazon RDS for MySQL database The launch template includes user data that specifies a script to install and start the application.
The initial deployment of the application was successful. The DevOps engineer made changes to update the version of the application with the user data. The CI/CD pipeline has deployed a new version of the template However, the health checks on the ALB are now failing The health checks have marked all targets as unhealthy.
During investigation the DevOps engineer notices that the Cloud Formation stack has a status of UPDATE_COMPLETE. However, when the DevOps engineer connects to one of the EC2 instances and checks /varar/log messages, the DevOps engineer notices that the Apache web server failed to start successfully because of a configuration error How can the DevOps engineer ensure that the CloudFormation deployment will fail if the user data fails to successfully finish running?

正解：C

解説：
Explanation
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-attribute-updatepolicy.html


質問 # 301
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