Amazon DOP-C01 Korean : AWS Certified DevOps Engineer - Professional (DOP-C01 Korean Version)

  • Exam Code: DOP-C01-KR
  • Exam Name: AWS Certified DevOps Engineer - Professional (DOP-C01 Korean Version)
  • Updated: Jul 23, 2026
  • Q & A: 575 Questions and Answers

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AWS-DevOps Exam Syllabus Topics:

SectionObjectives

SDLC Automation - 22%

Apply concepts required to automate a CI/CD pipeline- Set up repositories
- Set up build services
- Integrate automated testing (e.g., unit tests, integrity tests)
- Set up deployment products/services
- Orchestrate multiple pipeline stages
Determine source control strategies and how to implement them- Determine a workflow for integrating code changes from multiple contributors
- Assess security requirements and recommend code repository access design
- Reconcile running application versions to repository versions (tags)
- Differentiate different source control types
Apply concepts required to automate and integrate testing- Run integration tests as part of code merge process
- Run load/stress testing and benchmark applications at scale
- Measure application health based on application exit codes (robust Health Check)
- Automate unit tests to check pass/fail, code coverage
  • CodePipeline, CodeBuild, etc.

- Integrate tests with pipeline

Apply concepts required to build and manage artifacts securely- Distinguish storage options based on artifacts security classification
- Translate application requirements into Operating System and package configuration (build specs)
- Determine the code/environment dependencies and required resources
  • Example: CodeDeploy AppSpec, CodeBuild buildspec

- Run a code build process

Determine deployment/delivery strategies (e.g., A/B, Blue/green, Canary, Red/black) and how to implement them using AWS services- Determine the correct delivery strategy based on business needs
- Critique existing deployment strategies and suggest improvements
- Recommend DNS/routing strategies (e.g., Route 53, ELB, ALB, load balancer) based on business continuity goals
- Verify deployment success/failure and automate rollbacks

Configuration Management and Infrastructure as Code - 19%

Determine deployment services based on deployment needs- Demonstrate knowledge of process flows of deployment models
- Given a specific deployment model, classify and implement relevant AWS services to meet requirements
  • Given the requirement to have DynamoDB choose CloudFormation instead of OpsWorks
  • Determine what to do with rolling updates
Determine application and infrastructure deployment models based on business needs- Balance different considerations (cost, availability, time to recovery) based on business requirements to choose the best deployment model
- Determine a deployment model given specific AWS services
- Analyze risks associated with deployment models and relevant remedies
Apply security concepts in the automation of resource provisioning- Choose the best automation tool given requirements
- Demonstrate knowledge of security best practices for resource provisioning (e.g., encrypting data bags, generating credentials on the fly)
- Review IAM policies and assess if sufficient but least privilege is granted for all lifecycle stages of a deployment (e.g., create, update, promote)
- Review credential management solutions (e.g., EC2 parameter store, third party)
- Build the automation
  • CloudFormation template, Chef Recipe, Cookbooks, Code pipeline, etc.
Determine how to implement lifecycle hooks on a deployment- Determine appropriate integration techniques to meet project requirements
- Choose the appropriate hook solution (e.g., implement leader node selection after a node failure) in an Auto Scaling group
- Evaluate hook implementation for failure impacts (if a remote call fails, if a dependent service is temporarily unavailable (i.e., Amazon S3), and recommend resiliency improvements
- Evaluate deployment rollout procedures for failure impacts and evaluate rollback/recovery processes
Apply concepts required to manage systems using AWS configuration management tools and services- Identify pros and cons of AWS configuration management tools
- Demonstrate knowledge of configuration management components
- Show the ability to run configuration management services end to end with no assistance while adhering to industry best practices

Monitoring and Logging - 15%

Determine how to set up the aggregation, storage, and analysis of logs and metrics- Implement and configure distributed logs collection and processing (e.g., agents, syslog, flumed, CW agent)
- Aggregate logs (e.g., Amazon S3, CW Logs, intermediate systems (EMR), Kinesis FH – Transformation, ELK/BI)
- Implement custom CW metrics, Log subscription filters
- Manage Log storage lifecycle (e.g., CW to S3, S3 lifecycle, S3 events)
Apply concepts required to automate monitoring and event management of an environment- Parse logs (e.g., Amazon S3 data events/event logs/ELB/ALB/CF access logs) and correlate with other alarms/events (e.g., CW events to AWS Lambda) and take appropriate action
- Use CloudTrail/VPC flow logs for detective control (e.g., CT, CW log filters, Athena, NACL or WAF rules) and take dependent actions (AWS step) based on error handling logic (state machine)
- Configure and implement Patch/inventory/state management using ESM (SSM), Inspector, CodeDeploy, OpsWorks, and CW agents
  • EC2 retirement/maintenance

- Handle scaling/failover events (e.g., ASG, DB HA, route table/DNS update, Application Config, Auto Recovery, PH dashboard, TA)
- Determine how to automate the creation of monitoring

Apply concepts required to audit, log, and monitor operating systems, infrastructures, and applications- Monitor end to end service metrics (DDB/S3) using available AWS tools (X-ray with EB and Lambda)
- Verify environment/OS state through auditing (Inspector), Config rules, CloudTrail (process and action), and AWS APIs
- Enable, configure, and analyze custom metrics (e.g., Application metrics, memory, KCL/KPL) and take action
- Ensure container monitoring (e.g., task state, placement, logging, port mapping, LB)
- Distinguish between services that enable service level or OS level monitoring
  • Example: AWS services that use OS agents (e.g., Inspector, SSM)
Determine how to implement tagging and other metadata strategies- Segregate authority based on tagging (lifecycle stages – dev/prod) with Condition context keys
- Utilize Amazon S3 system/user-defined metadata for classification and automation
- Design and implement tag-based deployment groups with CodeDeploy
- Best practice for cost allocation/optimization with tagging

Policies and Standards Automation - 10%

Apply concepts required to enforce standards for logging, metrics, monitoring, testing, and security- Detect, report, and respond to governance and security violations
- Apply logging standards across application, operating system, and infrastructure
- Apply context specific application health and performance monitoring
- Outline standards for delivery models for logs and metrics (e.g., JSON, XML, Data Normalization)
Determine how to optimize cost through automation- Prioritize automation effort to reduce labor costs
- Implement right sizing of workload based on metrics
- Assess ways to improve time to market through automating process orchestration and repeatable tasks
- Diagnose outliers to determine use case fit
  • Example: Configuration drift

- Measure and automate cost optimization through events

  • Example: Trusted Advisor
Apply concepts required to implement governance strategies- Generalize governance standards across CI/CD pipeline
- Outline and measure the real-time status of compliance with governance strategies
- Report on compliance with governance strategies
- Deploy governance policies related to self-service capabilities
  • Example: Service Catalog, CFN Nag

Incident and Event Response - 18%

Troubleshoot issues and determine how to restore operations- Given an issue, evaluate how to narrow down the unhealthy components as quickly as possible
- Given an increase in load, determine what steps to take to mitigate the impact
- Determine the causes and impacts of a failure
  • Example: Deployment, operations

- Determine the best way to restore operations after a failure occurs
- Investigate and correlate logged events with application components

  • Example: application source code
Determine how to automate event management and alerting- Set up automated restores from backup in the event of a catastrophic failure
- Set up methods to deliver alerts and notifications that are appropriate for different types of events
- Assess the quality/actionability of alerts
- Configure metrics appropriate to an application’s SLAs
- Proactively update limits
Apply concepts required to implement automated healing- Set up the correct scaling strategy to enable auto-healing when a failure occurs (e.g., with Auto Scaling policies)
- Use the correct rollback strategy to avoid impact from failed deployments
- Configure Route 53 to ensure cross-Region failover
- Detect and respond to maintenance or Spot termination events
Apply concepts required to set up event-driven automated actions- Configure Lambda functions or CloudWatch actions to implement automated actions
- Set up CloudWatch event rules and/or Config rules and targets
- Use AWS Systems Manager or Step Functions to coordinate components (e.g., Lambda, use maintenance windows)
- Configure a build/roll-out process to automatically respond to critical software updates

High Availability, Fault Tolerance, and Disaster Recovery - 16%

Determine appropriate use of multi-AZ versus multi-Region architectures- Determine deployment strategy based on HA/DR requirements
- Determine data replication strategy based on cost and durability requirements
- Determine infrastructure, platform, and services based on HA/DR requirements
- Design for HA/FT/DR based on service availability (i.e., global/regional/single AZ)
Determine how to implement high availability, scalability, and fault tolerance- Design deployment strategy to support HA/FT/scalability
- Assess statefulness of application infrastructure components
- Use load balancing to distribute traffic across multiple AZ/ASGs/instance types (spot/M4 vs C4) /targets
- Use appropriate caching solutions to improve availability and performance
Determine the right services based on business needs (e.g., RTO/RPO, cost)- Determine cost-effective storage solution for your application
  • Example: tiered, archival, EBS type, hot/cold

- Choose a database platform and configuration to meet business requirements
- Choose a cost-effective compute platform based on business requirements

  • Example: Spot

- Choose a deployment service/model based on business requirements

  • Example: Code Deploy, Blue/Green deployment

- Determine when to use managed service vs. self-managed infrastructure (Docker on EC2 vs. ECS)

Determine how to design and automate disaster recovery strategies- Automate failure detection
- Automate components/environment recovery
- Choose appropriate deployment strategy for environment recovery
- Design automation to support failover in hybrid environment
Evaluate a deployment for points of failure- Determine appropriate deployment-specific health checks
- Implement failure detection during deployment
- Implement failure event handling/response
- Ensure that resources/components/processes exist to react to failures during deployment
- Look for exit codes on each event of the deployment
- Map errors to different points of deployment

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Talking about the exam content, it covers six broad domains, which include the following:

  • SDLC Automation

    This section will offer you about 22% of the questions from the whole exam content. This is the biggest area of all that are available. For this topic, you need to have some experience in applying the concepts that are required to automate a CI/CD pipeline, automate and integrate testing, and build and manage artifacts securely. You should also know about the source control strategies and be skillful enough to be able to implement them. It is also will be vital for your role to know what to do with the delivery or deployment strategies, such as Canary, Red/black, Blue/green, A/B, etc.

  • Response to Incidents and Events

    This is the third largest area of the whole list of topics that covers 18% of the exam content. It is all about troubleshooting of the possible issues and determination of how to restore operations. It also includes the evaluation of your skills in applying different concepts that are required to implement automated healing or set up actions that are event-driven and automated. The knowledge of how to perform an automation process for alerting and event management is also essential.

  • Logging and Monitoring

    You will face with about 15% of the questions from this domain during the exam. It evaluates your skills in applying various concepts that are required to automate event management and monitoring of an environment as well as monitor, log, and audit applications, infrastructures, and operating systems. Knowing how to set up the analysis of metrics and logs as well as their storage and aggregation is also important for the potential candidates. They have to also understand the implementation of tagging and other metadata strategies.

  • Policies and Automation of Standards

    This subject will cover only 10% of the exam content. This is the smallest amount of questions that you will encounter during the test. The subtopics of this domain include your understanding of cost optimization through automation, the ways to apply the concepts that are required to implement governance strategies, and your knowledge of which concepts are needed for the enforcement of the standards for security, testing, metrics, monitoring, and logging.

  • Disaster Recovery, Fault Tolerance, and High Availability

    The last section covers 16% of the exam questions, and you will need to possess certain skills. They include your knowledge of the right services based on business needs such as cost or RTO/RPO, your ability to design disaster recovery strategies and automate them, and skills in evaluating the deployment for points of failure. It is also important for you to know how to implement high fault tolerance, scalability, and availability. The usage of the right multi-region versus multi-AZ architectures is also vital.

  • Infrastructure as Code and Configuration Management

    This objective covers about 19% of the whole content. For this section, it is required that you understand all the needed concepts related to the deployment services that are based on deployment needs, infrastructure and app deployment models based on business needs, and the implementation of the lifecycle hooks on the deployment. This area also includes your knowledge of how to apply security concepts in the automation of resource provisioning and your ability to work with the concepts that are needed to manage systems with the use of AWS configuration management tools as well as services.

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Registration procedure of the AWS DevOps Engineer Professional Exam

In order to apply for the AWS DevOps Engineer Professional, You have to follow these steps

  • Step 1: Sign in to AWS Training
  • Step 2: Click Certification in the top navigation
  • Step 3: Click AWS Certification Account Button
  • Step 4: Followed by Schedule New Exam
  • Step 5: Search the AWS DevOps Engineer Professional exam
  • Step 6: Click either the Schedule at PSI or Schedule at Pearson VUE button
  • Step 7: Select Date, time and Schedule your test

Reference: https://aws.amazon.com/certification/certified-devops-engineer-professional/

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Amazon DOP-C01 Korean Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Incident and Event Response18%- Manage incidents and outages
  • 1. Automated recovery and failover
  • 2. Incident response workflows
- Design and implement event-driven automation
  • 1. Amazon EventBridge, AWS Lambda triggers
  • 2. Automated responses to operational events
- Implement self-healing systems
  • 1. Resilience and fault tolerance automation
  • 2. Auto Scaling, Elastic Load Balancing
Topic 2: High Availability, Fault Tolerance, and Disaster Recovery16%- Implement disaster recovery strategies
  • 1. Backup and restore, pilot light, warm standby, hot standby
  • 2. AWS Disaster Recovery services
- Design for high availability and fault tolerance
  • 1. Load balancing and traffic routing
  • 2. Multi-AZ and multi-region architectures
- Test and validate resilience
  • 1. Disaster recovery testing
  • 2. Resilience and availability metrics
Topic 3: Policy and Standards Automation10%- Automate security and compliance checks
  • 1. AWS Security Hub, Amazon GuardDuty
  • 2. Automated remediation actions
- Enforce operational standards
  • 1. Tagging policies, resource naming conventions
  • 2. Automated auditing and reporting
- Implement compliance and governance automation
  • 1. Security and access control automation
  • 2. AWS Config Rules, AWS Service Control Policies
Topic 4: Monitoring and Logging15%- Implement centralized logging
  • 1. Log aggregation, analysis, and retention
  • 2. Amazon CloudWatch Logs, Log Groups/Streams
- Analyze metrics and logs for operational insights
  • 1. Troubleshooting and root cause analysis
  • 2. Performance optimization and cost monitoring
- Design and implement monitoring solutions
  • 1. Custom metrics and telemetry
  • 2. Amazon CloudWatch, CloudWatch Metrics/Alarms/Dashboards
Topic 5: Configuration Management and Infrastructure as Code19%- Automate infrastructure maintenance
  • 1. Patching, updates, and scaling
  • 2. Infrastructure validation and testing
- Implement infrastructure as code
  • 1. Infrastructure provisioning and updates
  • 2. AWS CloudFormation, Terraform
- Manage configuration and state
  • 1. Compliance and drift detection
  • 2. AWS Systems Manager, AWS Config
Topic 6: SDLC Automation22%- Integrate automation with AWS services
  • 1. AWS Step Functions, Lambda
  • 2. AWS CodeCommit, CodeBuild, CodeDeploy, CodePipeline
- Automate software release processes
  • 1. Versioning and artifact management
  • 2. Rollback and recovery mechanisms
- Design and implement CI/CD pipelines
  • 1. Build and test automation
  • 2. Deployment strategies
  • 3. Source control strategies

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