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Amazon DOP-C02 Exam Syllabus Topics:

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

>> DOP-C02 Prüfung <<

DOP-C02 PrüfungGuide, Amazon DOP-C02 Zertifikat - AWS Certified DevOps Engineer - Professional

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Amazon AWS Certified DevOps Engineer - Professional DOP-C02 Prüfungsfragen mit Lösungen (Q384-Q389):

384. Frage
A DevOps engineer notices that all Amazon EC2 instances running behind an Application Load Balancer in an Auto Scaling group are failing to respond to user requests. The EC2 instances are also failing target group HTTP health checks Upon inspection, the engineer notices the application process was not running in any EC2 instances. There are a significant number of out of memory messages in the system logs. The engineer needs to improve the resilience of the application to cope with a potential application memory leak. Monitoring and notifications should be enabled to alert when there is an issue Which combination of actions will meet these requirements? (Select TWO.)

Antwort: A,E

Begründung:
https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/metrics-collected-by-CloudWatch-agent.html


385. Frage
A company runs an application on one Amazon EC2 instance. Application metadata is stored in Amazon S3 and must be retrieved if the instance is restarted. The instance must restart or relaunch automatically if the instance becomes unresponsive.
Which solution will meet these requirements?

Antwort: B


386. Frage
A DevOps engineer manages a company's Amazon Elastic Container Service (Amazon ECS) cluster. The cluster runs on several Amazon EC2 instances that are in an Auto Scaling group. The DevOps engineer must implement a solution that logs and reviews all stopped tasks for errors.
Which solution will meet these requirements?

Antwort: A

Begründung:
Explanation
The best solution to log and review all stopped tasks for errors is to use Amazon EventBridge and Amazon CloudWatch Logs. Amazon EventBridge allows the DevOps engineer to create a rule that matches task state change events from Amazon ECS. The rule can then send the event data to Amazon CloudWatch Logs as the target. Amazon CloudWatch Logs can store and monitor the log data, and also provide CloudWatch Logs Insights, a feature that enables the DevOps engineer to interactively search and analyze the log data. Using CloudWatch Logs Insights, the DevOps engineer can filter and aggregate the log data based on various fields, such as cluster, task, container, and reason. This way, the DevOps engineer can easily identify and investigate the stopped tasks and their errors.
The other options are not as effective or efficient as the solution in option A. Option B is not suitable because the embedded metric format is designed for custom metrics, not for logging task state changes. Option C is not feasible because the EC2 instances do not store the task state change events in their logs. Option D is not relevant because the EC2_INSTANCE_TERMINATING lifecycle hook is triggered when an EC2 instance is terminated by the Auto Scaling group, not when a task is stopped by Amazon ECS.
References:
* : Creating a CloudWatch Events Rule That Triggers on an Event - Amazon Elastic Container Service
* : Sending and Receiving Events Between AWS Accounts - Amazon EventBridge
* : Working with Log Data - Amazon CloudWatch Logs
* : Analyzing Log Data with CloudWatch Logs Insights - Amazon CloudWatch Logs
* : Embedded Metric Format - Amazon CloudWatch
* : Amazon EC2 Auto Scaling Lifecycle Hooks - Amazon EC2 Auto Scaling


387. Frage
A company deploys an application to Amazon EC2 instances. The application runs Amazon Linux 2 and uses AWS CodeDeploy. The application has the following file structure for its code repository:
The appspec.yml file has the following contents in the files section:
What will the result be for the deployment of the config.txt file?

Antwort: A

Begründung:
Deployment of config.txt file based on the appspec.yml:
The appspec.yml file specifies that config/config.txt should be copied to /usr/local/src/config.txt.
The source: / directive in the appspec.yml indicates that the entire directory structure starting from the root of the application source should be copied to the specified destination, which is /var/www/html.
Result of the Deployment:
The config.txt file will be specifically deployed to /usr/local/src/config.txt as per the explicit file mapping.
The entire directory structure including application/web will be copied to /var/www/html, but this does not include config/config.txt since it has a specific destination defined.
Thus, the config.txt file will be deployed only to /usr/local/src/config.txt.
Therefore, the correct answer is:
C). The config.txt file will be deployed to only /usr/local/src/config.txt.
References:
AWS CodeDeploy AppSpec File Reference
AWS CodeDeploy Deployment Process


388. Frage
A DevOps engineer is supporting early-stage development for a developer platform running on Amazon EKS. Recently, the platform has experienced an increased rate of container restart failures. The DevOps engineer wants diagnostic information to isolate and resolve issues.
Which solution will meet this requirement?

Antwort: B

Begründung:
Comprehensive & Detailed Explanation (150-250 words):
Container restart failures require detailed observability into pod-level, node-level, and container-level metrics and logs. CloudWatch Container Insights is purpose-built for Kubernetes operational diagnostics and provides granular visibility into CPU, memory, network I/O, disk I/O, container restarts, OOM kills, throttling, pod lifecycle issues, and Kubernetes control plane behaviors.
The CloudWatch Observability add-on deploys Fluent Bit and the CloudWatch Agent directly into the EKS cluster as DaemonSets. These components automatically collect:
Container logs
Pod metrics
Node metrics
Cluster events
OOM errors
CrashLoopBackOff restart cycles
Control plane request anomalies
With this data, the DevOps engineer can easily identify misconfigurations, resource bottlenecks, unhealthy nodes, failing containers, or image pull issues.
Option A (dashboards only) lacks per-container diagnostic data.
Option B (CloudTrail) only logs API calls - not useful for restart debugging.
Option C (CloudTrail Insights) only detects anomalous API usage, not container failures.
Therefore, CloudWatch Container Insights is the correct and AWS-recommended solution for diagnosing container restart failures in EKS.


389. Frage
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