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Microsoft GH-200 Exam Syllabus Topics:

SectionWeightObjectives
Secure and Optimize Automation10-15%- Optimization
  • 1. Performance and cost optimization
    • 2. Caching and artifact retention
      - Security best practices
      • 1. GITHUB_TOKEN permissions
        • 2. OIDC authentication
          • 3. Prevent script injection
            Author and Maintain Actions15-20%- Action structure and metadata
            • 1. Workflow commands in actions
              • 2. action.yml structure and inputs/outputs
                - Distribution and versioning
                • 1. Version pinning and release strategies
                  • 2. GitHub Marketplace publishing
                    - Create custom actions
                    • 1. JavaScript, Docker, composite actions
                      • 2. Debugging action failures
                        Manage GitHub Actions for the Enterprise20-25%- Secrets and variables
                        • 1. Secure usage and scoping
                          • 2. Org/repo/environment secrets
                            - Governance and policy
                            • 1. Reusable workflows governance
                              • 2. Organization policies and access control
                                - Runner management
                                • 1. Runner groups and scaling
                                  • 2. Hosted and self-hosted runners
                                    Author and Manage Workflows20-25%- Manage execution and outputs
                                    • 1. GITHUB_OUTPUT, GITHUB_ENV, step outputs
                                      • 2. Artifacts and caching
                                        • 3. Workflow summaries and badges
                                          - Design workflow structure
                                          • 1. Jobs, steps, dependencies, conditions
                                            • 2. Matrix builds and strategy configuration
                                              • 3. Service containers and environment variables
                                                • 4. Contexts and expressions (${{ }})
                                                  - Configure workflow triggers and events
                                                  • 1. Scheduled, manual, webhook, and repository events
                                                    • 2. workflow_dispatch inputs and workflow_call inputs/secrets mapping
                                                      Consume and Troubleshoot Workflows15-20%- Analyze workflow runs
                                                      • 1. Matrix execution debugging
                                                        • 2. Logs, triggers, and run history
                                                          - Reusable workflows and templates
                                                          • 1. Starter workflows vs reusable workflows
                                                            • 2. Composite actions usage
                                                              - Artifacts and logs management
                                                              • 1. Use GitHub UI and API for runs
                                                                • 2. Download artifacts

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                                                                  Microsoft GitHub Actions Sample Questions (Q32-Q37):

                                                                  NEW QUESTION # 32
                                                                  As a developer, you need to leverage Redis in your workflow. What is the best way to use Redis on a self-hosted Linux runner without affecting future workflow runs?

                                                                  Answer: C

                                                                  Explanation:
                                                                  Creating Redis service containers
                                                                  You can use service containers to create a Redis client in your workflow. You can create a Redis service for jobs that run in containers or directly on the runner machine.
                                                                  Configuring the runner job
                                                                  The example uses the ubuntu-latest GitHub-hosted runner as the Docker host.
                                                                  The workflow configures a service container with the label redis.
                                                                  jobs:
                                                                  # Label of the runner job
                                                                  runner-job:
                                                                  # You must use a Linux environment when using service containers or container jobs runs-on: ubuntu-latest
                                                                  # Service containers to run with `runner-job`
                                                                  services:
                                                                  # Label used to access the service container
                                                                  redis:
                                                                  # Docker Hub image
                                                                  image: redis
                                                                  # Set health checks to wait until redis has started
                                                                  options: >-
                                                                  --health-cmd "redis-cli ping"
                                                                  --health-interval 10s
                                                                  --health-timeout 5s
                                                                  --health-retries 5
                                                                  ports:
                                                                  # Maps port 6379 on service container to the host
                                                                  - 6379:6379
                                                                  Reference:
                                                                  https://docs.github.com/en/actions/tutorials/use-containerized-services/create-redis-service- containers


                                                                  NEW QUESTION # 33
                                                                  Where should workflow files be stored to be triggered by events in a repository?

                                                                  Answer: E

                                                                  Explanation:
                                                                  You must store workflow files in the .github/workflows directory of your repository.
                                                                  Reference:
                                                                  https://docs.github.com/en/actions/reference/workflows-and-actions/workflow-syntax


                                                                  NEW QUESTION # 34
                                                                  How should you install the bats NPM package in your workflow?
                                                                  A)
                                                                  B)
                                                                  C)
                                                                  D)

                                                                  Answer: C

                                                                  Explanation:
                                                                  The correct syntax includes specifying the job (example-job), the runner (ubuntu-latest), and the necessary step (npm install -g bats) within the workflow. This ensures that the package is installed properly during the execution of the job.


                                                                  NEW QUESTION # 35
                                                                  As a developer, you are using a Docker container action in your workflow. What is required for the action to run successfully?

                                                                  Answer: D

                                                                  Explanation:
                                                                  To run a Docker container action, the job's runs-on environment must be a Linux machine that has Docker installed.
                                                                  Key Requirements
                                                                  Linux OS Only: Docker container actions are only supported on Linux runners. They cannot run on Windows or macOS runners.
                                                                  Docker Installed: The runner must have the Docker CLI and daemon installed and running to build and execute the action's container.
                                                                  GitHub-Hosted Runners: If you use GitHub-hosted runners, you must specify an Ubuntu environment (e.g., runs-on: ubuntu-latest), as these come pre-configured with Docker.
                                                                  Self-Hosted Runners: For self-hosted runners, you must manually ensure the machine is running Linux and has Docker installed.
                                                                  Reference:
                                                                  https://docs.github.com/actions/sharing-automations/creating-actions/creating-a-docker- container-action


                                                                  NEW QUESTION # 36
                                                                  As a developer, you are authoring a workflow that will deploy to both DevCloud and TestCloud resources.
                                                                  Each cloud resource is accessed with a different deployment key. Which approach best allows you to use the same reusable workflow in separate jobs to target the different cloud resources?

                                                                  Answer: C

                                                                  Explanation:
                                                                  The best design is to use environment-scoped secrets with the same secret name, such as DEPLOY_KEY, in separate environments such as DevCloud and TestCloud. This lets the same reusable deployment logic reference one consistent secret name while the selected environment supplies the correct value. Option A is invalid because GitHub secret names should not be designed around dotted property access, and reusable workflows should not parse secret names dynamically. Option C introduces unnecessary marketplace dependency and weak secret handling. Option D is also wrong because GitHub secrets are opaque strings; ${{ secrets.DEPLOY_KEY.DevCloud }} is not valid secret property access. Reusable workflows can define and receive named secrets through the secrets mapping.


                                                                  NEW QUESTION # 37
                                                                  ......

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