Microsoft GitHub Actions (GH-200) Exam Questions
Build Your Career Foundation with Microsoft GitHub Certifications
The Microsoft GH-200 exam is designed for professionals who want to improve their skills in GitHub Actions technology. This Intermediate Level certification checks your understanding of the main concepts, tools, and best practices. It also tests your ability to use in real work situations.
The Microsoft GitHub Actions certification can be a valuable step toward building a strong foundation for your IT career. It helps employers recognize your abilities and gives you a better chance of finding new job opportunities. This certification also helps you stay up-to-date with the latest Microsoft GitHub Actions exam technologies, tools, and industry standards.
Why Become Microsoft GitHub Certifications Certified?
Stand Out to Hiring Managers
The Microsoft GH-200 certification exam can help demonstrate your knowledge and skills, giving hiring managers a clearer view of your professional capabilities.
Build a Case for Promotions
The Microsoft GH-200 certification can help you demonstrate your skills, strengthen your professional profile, and prepare for new career opportunities.
Higher Job Security
A GitHub Actions credential raises your value, commands higher pay, and makes you hard to replace.
Networking Opportunities
Connect with skilled GitHub Actions professionals in a network that solves problems, shares knowledge, and drives your growth.
Microsoft GH-200 Exam Domains & Weightage
Microsoft GH-200 Exam Details (Official)
| Vendor | Microsoft |
| Exam Code | GH-200 |
| Exam Name | GitHub Actions Exam |
| Certification | Microsoft GitHub Certifications |
| Expected Questions in Actual Exam | 75 |
| Exam Duration | 120 Minutes |
Microsoft GitHub Actions Exam Exam Objectives
-
1
1.0 Author and manage workflows (20-25%)
- 1.1Configure workflow triggers and events
- 1.2Configure workflows to run for scheduled, manual, webhook, and repository events
- 1.3Choose appropriate scope, permissions, and events for workflow automation
- 1.4Define and validate workflow_dispatch inputs (types, required, defaults) and pass inputs to reusable workflows via workflow_call with inputs and secrets mapping
- 1.5Design and implement workflow structure
- 1.6Use jobs, steps, and conditional logic
- 1.7Implement dependencies between jobs
- 1.8Use workflow commands and environment variables
- 1.9Use service containers (services:) for dependent services (databases, queues); configure ports, health checks, and container options
- 1.10Use strategy and matrix to generate job variations (OS, language/runtime versions); apply include/exclude; control fail-fast and max-parallel; optimize matrix size for cost and performance; account for runner image changes (Ubuntu
- 1.112
- 1.12deprecation, Windows Server 2025 migration for windows-latest)
- 1.13Implement YAML anchors and aliases (&, * and merge <<) to reuse repeated mappings/steps within a single workflow file
- 1.14Use predefined contexts (github, runner, env, vars, secrets, inputs, matrix, needs, strategy, job, steps, github.event, github.ref) to access workflow, repository, and runtime metadata; understand immutable actions behavior and version pinning requirements
- 1.15Evaluate expressions with ${{ }} referencing contexts; distinguish static (workflow parse) vs runtime evaluation; prevent secret leakage in logs and expressions
- 1.16Leverage editor tooling (GitHub Actions VS Code extension / YAML schema completion, metadata IntelliSense, validation) to author and maintain workflows efficiently
- 1.17Manage workflow execution and outputs
- 1.18Configure caching and artifact management; apply retention policies via REST APIs (logs, artifacts, workflow runs) at org/repo level
- 1.19Pass data between jobs and steps (artifacts, outputs, environment files via GITHUB_ENV and GITHUB_OUTPUT, reusable workflow outputs)
- 1.20Generate job summaries using GITHUB_STEP_SUMMARY for rich Markdown reports (test results, coverage, links)
- 1.21Add workflow status badges and environment protections
-
2
2.0 Consume and troubleshoot workflows (15-20%)
- 2.1Interpret workflow behavior and results
- 2.2Identify workflow triggers and effects from configuration and logs
- 2.3Diagnose failed workflow runs using logs and run history
- 2.4Expand and interpret YAML anchors, aliases, and merged mappings when analyzing workflow configuration
- 2.5Interpret matrix expansions, correlate job names to matrix axes, analyze failures across variants, and selectively rerun individual matrix jobs
- 2.6Access workflow artifacts and logs
- 2.7Locate workflows, logs, and artifacts in the UI and via API
- 2.8Download and manage workflow artifacts
- 2.9Use and manage workflow templates
- 2.10Consume organization-level and reusable workflows
- 2.11Consume non-public organization workflow templates
- 2.12Use starter workflows (public and private/non-public templates); customize and adapt; distinguish from reusable workflows and composite actions
- 2.13Differentiate starter workflows (copy scaffold, independent after creation) vs reusable workflows (central versioned definition invoked via workflow_call) vs composite actions (encapsulated step logic)
- 2.14Contrast disabling and deleting workflows
-
3
3.0 Author and maintain actions (15-20%)
- 3.1Create and troubleshoot custom actions
- 3.2Identify and implement action types (JavaScript, Docker, composite); understand immutable actions rollout on hosted runners and implications for version pinning and registry sources
- 3.3Troubleshoot action execution and errors
- 3.4Define action structure and metadata
- 3.5Specify required files, directory structure, and metadata
- 3.6Implement workflow commands within actions
- 3.7Distribute and maintain actions
- 3.8Select distribution models (public, private, marketplace)
- 3.9Publish actions to the GitHub Marketplace
- 3.10Apply versioning and release strategies
-
4
4.0 Manage GitHub Actions for the enterprise (20-25%)
- 4.1Distribute and govern actions and workflows
- 4.2Define and manage reusable components and templates
- 4.3Control access to actions and workflows within the enterprise
- 4.4Configure organizational use policies
- 4.5Manage runners at scale
- 4.6Configure and monitor GitHub-hosted and self-hosted runners
- 4.7Apply IP allow lists and networking settings
- 4.8Manage runner groups and troubleshoot runner issues
- 4.9Identify preinstalled software/tool versions on GitHub-hosted runners (image release notes, toolcache) and install additional software at runtime (setup-* actions, package managers, caching, container images, custom self-hosted images)
- 4.10Manage encrypted secrets and variables
- 4.11Define and scope encrypted secrets and variables at the organization, repository, and environment levels
- 4.12Access and use secrets and variables in workflows and actions; manage secrets and variables programmatically via REST APIs
-
5
5.0 Secure and optimize automation (10-15%)
- 5.1Implement security best practices
- 5.2Use environment protections and approval gates
- 5.3Identify and use trustworthy actions from the Marketplace
- 5.4Mitigate script injection (sanitize/validate inputs, least-privilege permissions, avoid untrusted data in run:, proper shell quoting, prefer vetted actions over inline scripts)
- 5.5Understand GITHUB_TOKEN lifecycle (ephemeral, scoped), configure granular permissions, contrast with PAT; restrict write scopes
- 5.6Use OIDC token (id-token permission) for cloud provider federation to eliminate long-lived cloud secrets
- 5.7Pin third-party actions to full commit SHAs; align with immutable actions enforcement on hosted runners; avoid floating @main/@v* without justification
- 5.8Enforce action usage policies (organization/repository allow/deny lists, required reviewers for unverified actions)
- 5.9Generate and verify artifact attestations / provenance (e.g., SLSA, build metadata) and integrate into deployment verification
- 5.10Optimize workflow performance and cost
- 5.11Configure caching and artifact retention for efficiency; apply retention policies programmatically via REST APIs
- 5.12Recommend strategies for scaling and optimizing workflows
Why Choose PrepBolt For Microsoft GH-200 Practice Exam?
Pass GH-200 Exam Faster
Microsoft GH-200 Streamlined practice questions designed to maximize learning efficiency and minimize prep time.
Practice Like the Real Exam
Simulate real GH-200 exam scenarios with questions structured exactly like the actual certification test.
GH-200 Updated Questions
Microsoft GH-200 exam Regular content updates reflecting the latest exam blueprint changes and syllabus revisions.
Trusted by thousands of professionals
Join over 50,000+ Microsoft GH-200 satisfied professionals and students who achieved career goals with us around the world. Learn, share ideas, and grow together.
Ready to pass Microsoft GH-200 Exam on your first attempt?
Practice with updated Microsoft GH-200 exam questions written and reviewed by certified Microsoft professionals.