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Microsoft GH-200 Exam Overview:

Certification Vendor:Microsoft
Exam Name:GitHub Actions
Exam Number:GH-200
Exam Price:$165 USD / €53 EUR
Exam Format:Multiple-choice, Interactive items, Scenario-based
Passing Score:700 (scaled score 100–1000)
Certificate Validity Period:1 year
Exam Duration:100 minutes
Real Exam Qty:50–60
Available Languages:English, Spanish, Portuguese (Brazil), Korean, Japanese
Recommended Training:Microsoft Learn Study Guide
Exam Registration:Pearson VUE Scheduling
Microsoft Learn Registration
Sample Questions:Microsoft GH-200 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:No mandatory prerequisites; recommended 6+ months experience using GitHub Actions, CI/CD workflows, and repository automation
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/gh-200

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Microsoft GH-200 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Manage GitHub Actions in the Enterprise: This section measures the expertise of Enterprise Administrators and Platform Engineers in distributing and managing GitHub Actions and workflows at the organizational level. It includes reuse and sharing of templates, strategies for managing reusable components via repositories and naming conventions, controlling access to actions, setting organization-wide usage policies, and planning maintenance to ensure efficient enterprise-wide deployment of GitHub Actions.
Topic 2
  • Author and Maintain Workflows: This section of the exam measures skills of DevOps Engineers and Automation Specialists and covers building and managing workflows triggered by events such as pushes, scheduled times, manual triggers, and webhooks. It includes understanding workflow components like jobs, steps, actions, and runners, syntax correctness, environment variables, secrets management, and dependencies between jobs. Candidates will also demonstrate practical abilities to create workflows for various purposes, including publishing packages, using service containers, routing jobs, and deploying releases to cloud providers.
Topic 3
  • Consume Workflows: This domain targets Software Developers and Quality Assurance Engineers and focuses on interpreting workflow runs and their outcomes. It covers identifying triggering events, reading workflow configurations, troubleshooting failures by analyzing logs, enabling debug logging, managing environment variables, caching dependencies, and passing data between jobs. Candidates also manage workflow runs, artifacts, approvals, and status badges, as well as locating workflows within repositories and leveraging organizational templated workflows.
Topic 4
  • Author and Maintain Actions: This domain evaluates the abilities of Action Developers and Automation Engineers to select and create suitable types of GitHub Actions, such as JavaScript, Docker containers, or run steps. It emphasizes troubleshooting action code, understanding the components and file structures of actions, and using workflow commands within actions to communicate with runners, including exit code management.

Microsoft GitHub Actions Sample Questions (Q20-Q25):

NEW QUESTION # 20
As a DevOps engineer, you need to define a deployment workflow that runs after the build workflow has successfully completed. Without modifying the build workflow, which trigger should you define in the deployment workflow?

Answer: A

Explanation:
The workflow_run event is designed to trigger one workflow based on the execution or completion of another workflow. The deployment workflow can therefore specify the build workflow under on.workflow_run.
workflows and use the completed activity type without changing the original build workflow. One important detail is that workflow_run fires when the specified workflow completes regardless of whether it succeeded or failed. If deployment must occur only after a successful build, the deployment job should additionally use a condition such as github.event.workflow_run.conclusion == ' success ' . workflow_dispatch is a manual trigger, repository_dispatch is normally used for externally generated custom events through the GitHub API, and workflow_exec is not a GitHub Actions workflow event. Therefore, workflow_run is the correct trigger.


NEW QUESTION # 21
As a developer, you are using a Docker container action in your workflow. What is required for the action to run successfully?

Answer: B

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 # 22
Which action type should be used to bundle a series of run steps into a reusable custom action?

Answer: D

Explanation:
Reusable workflows versus composite actions
Reusable workflows and composite actions both help you avoid duplicating workflow content.
Whereas reusable workflows allow you to reuse an entire workflow, with multiple jobs and steps, composite actions combine multiple steps that you can then run within a job step, just like any other action.
A composite action allows you to bundle multiple steps into a single reusable action within a workflow. It is composed of multiple run steps or other actions and can be reused across workflows, making it the perfect choice for bundling a series of steps.
Reference:
https://docs.github.com/en/actions/concepts/workflows-and-actions/reusable-workflows


NEW QUESTION # 23
As a developer, you are optimizing a GitHub workflow that uses and produces many different files. You need to determine when to use caching versus workflow artifacts. Which two statements are true? (Choose two.)

Answer: A,D

Explanation:
Caching is ideal for files that change rarely, such as dependencies or build outputs, as it speeds up subsequent workflow runs by reusing previously cached files instead of re-downloading or rebuilding them.
Artifacts are used for persisting files produced during a job that need to be used in later jobs or after the workflow has ended, allowing them to be downloaded or referenced later.


NEW QUESTION # 24
You need to recommend a strategy for managing and leveraging reusable GitHub Actions workflows across multiple repositories in a large organization. What should you recommend?

Answer: D

Explanation:
To effectively manage GitHub Actions across multiple repositories, storing reusable workflows in a central repository is a standard best practice. This centralizes CI/CD logic, ensures consistency, and allows you to update processes in one place rather than in every individual project.
*-> 1. Structure the Central Repository
Location: Create a dedicated repository (e.g., my-org/actions-workflows).
File Path: Store YAML workflow files in the .github/workflows directory.
Trigger: Use the on: workflow_call trigger to make a workflow reusable.
Documentation: Include a README.md or WORKFLOWS.md that describes inputs, secrets, and usage for each workflow.
2. Configure Access Permissions
For other repositories to use these workflows, you must explicitly grant access in the central repository's settings:
Navigate to Settings > Actions > General.
Scroll to the Access section.
Select "Accessible from repositories in the '{your-org}' organization" (for private repos) or ensure the repository is public.
*-> 3. Use the uses: Syntax to Reference Workflows
In your "caller" repositories, reference the central workflow within a job using the following format:
jobs:
call-workflow:
uses: {owner}/{repo}/.github/workflows/{filename}.yml@{ref}
with:
input-id: 'value'
secrets: inherit # Or pass specific secrets
{ref}: Can be a branch name (e.g., @main), a release tag (e.g., @v1.2.0), or a specific commit SHA.
Versioning: For production, avoid using @main. Instead, use release tags or commit SHAs to prevent breaking your pipelines when the central workflow is updated.
Reference:
https://github.com/orgs/community/discussions/175466


NEW QUESTION # 25
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