- Domain Overview: How the Six Areas Break Down
- Domain 1: Use GitHub Copilot Responsibly (15-20%)
- Domain 2: Use GitHub Copilot Features (25-30%)
- Domain 3: GitHub Copilot Data and Architecture (10-15%)
- Domain 4: Prompt Engineering and Context Crafting (10-15%)
- Domain 5: Improve Developer Productivity (10-15%)
- Domain 6: Privacy, Content Exclusions, and Safeguards (10-15%)
- Turning Domain Weights Into a Study Plan
- Question Format and What to Expect on Screen
- Frequently Asked Questions
- Domain 2 (Use GitHub Copilot Features) carries the most weight at 25-30% of the exam.
- The other five domains each sit at 10-20%, so no single area beyond Domain 2 can be skipped.
- The skills-measured version in effect since August 7, 2026 replaced 2024-2025 material - outdated guides will misalign with real domain weights.
- Questions mix multiple-choice, multiple-response, scenario-based, and interactive items across all six domains.
Domain Overview: How the Six Areas Break Down
GitHub Copilot Certification (GH-300) is organized into six content domains, each with a published weight range that tells you how many questions to expect from that area during your 100-minute session. GitHub maintains the credential; Microsoft develops and publishes the exam on Microsoft Learn, and Pearson VUE handles scheduling and proctoring at a test center or via online remote proctoring. Understanding the domain weights isn't just trivia - it's the single most useful input for deciding where to spend your limited study hours before test day.
The six domains are:
- Use GitHub Copilot responsibly (15-20%)
- Use GitHub Copilot features (25-30%)
- Understand GitHub Copilot data and architecture (10-15%)
- Apply prompt engineering and context crafting (10-15%)
- Improve developer productivity with GitHub Copilot (10-15%)
- Configure privacy, content exclusions, and safeguards (10-15%)
Notice that no domain falls below 10%, which means an exam candidate cannot pass by memorizing one heavy topic and skimming the rest. If you want a broader look at how difficult this balance makes the exam in practice, the GH-300 difficulty guide breaks down where most candidates lose points.
Domain 1: Use GitHub Copilot Responsibly (15-20%)
This domain tests whether a candidate understands the practical guardrails around AI-assisted coding - not just how to generate code, but how to verify, attribute, and govern it. Expect scenario questions where you have to decide the appropriate action when Copilot suggests code that may carry licensing, security, or quality risk.
Responsible Use Topics
Candidates should be comfortable evaluating Copilot output critically rather than accepting suggestions blindly.
- Recognizing when human review of AI-generated code is required
- Understanding bias, hallucination, and accuracy limitations in suggestions
- Applying organizational policy and acceptable-use expectations
- Knowing how responsible-use principles intersect with security review
This is one of the domains people underestimate because it feels "soft" compared to feature mechanics. Treat it seriously - at 15-20% it's weighted close to several technical domains combined.
Domain 2: Use GitHub Copilot Features (25-30%)
This is the anchor domain of GH-300, and at 25-30% it will generate more questions than any other single area. It covers the practical surface area of Copilot itself: how it's enabled, how suggestions and chat behave, and how the more advanced tooling fits into real developer workflows.
Core Feature Areas to Master
- IDE enablement and configuration of Copilot across supported editors
- Inline code suggestions and Copilot Chat behavior and controls
- Copilot CLI usage for command-line workflows
- Agent Mode, Copilot Edits, and multi-file changes
- Model Context Protocol (MCP) integration
- Agent Sessions and Sub-Agents concepts
- Copilot Spaces and Copilot Spark
- Pull request summaries generated by Copilot
- Instructions files that shape Copilot behavior in a repo
- Organization-wide policy management for Copilot access
- Audit log events relevant to Copilot activity
- Subscription management via the REST API
Most questions in this domain cover generally available (GA) features, though commonly used Preview features can also appear - so don't assume "it's still in preview" means it's out of scope. Because this domain touches so many discrete features, candidates often find it useful to build a checklist and test each item hands-on inside a real GitHub organization before exam day. The GH-300 study guide walks through a hands-on approach to covering this domain efficiently.
Key Takeaway
Since Domain 2 alone can represent nearly a third of your questions, prioritize hands-on practice with Agent Mode, Copilot Edits, MCP, and organization policy settings over passive reading.
Domain 3: Understand GitHub Copilot Data and Architecture (10-15%)
This domain steps back from feature usage to ask how Copilot actually works under the hood: what data it draws on, how suggestions are generated, and how the underlying architecture affects behavior and trust. Expect conceptual questions rather than click-through workflow questions here.
Architecture Concepts
- How context is gathered and fed into suggestion generation
- Data flow between the IDE, GitHub, and Copilot's backend services
- Where model behavior differs across Copilot surfaces (chat vs. inline vs. agents)
Because this domain is more conceptual, flashcard-style review works reasonably well - pair it with the terminology reference in the GH-300 cheat sheet for quick recall before test day.
Domain 4: Apply Prompt Engineering and Context Crafting (10-15%)
This domain evaluates whether a candidate can get better output from Copilot by writing better prompts and supplying the right context - a skill distinct from simply knowing which button to click.
Prompt and Context Skills
- Structuring prompts for chat and inline suggestions to reduce ambiguity
- Providing relevant file, project, or repository context
- Using instructions files to steer Copilot's default behavior
- Iterating on prompts when initial suggestions miss the mark
Expect scenario-based items here: you'll be shown a prompt and asked to identify why it produced poor output, or asked to select the prompt most likely to produce a correct result given a stated goal.
Domain 5: Improve Developer Productivity With GitHub Copilot (10-15%)
This domain is about outcomes - how Copilot changes day-to-day developer workflows, from writing code to reviewing pull requests to debugging. It ties feature knowledge from Domain 2 to measurable workflow improvements.
Productivity Scenarios
- Applying Copilot to accelerate common coding tasks without sacrificing quality
- Using Copilot-generated pull request summaries to speed up review cycles
- Identifying where Copilot fits into a team's existing development process
Candidates with real day-to-day experience using Copilot for productivity, quality, and security - part of the intended audience profile for this Intermediate-level certification - tend to find this domain intuitive, since it mirrors actual usage rather than abstract theory.
Domain 6: Configure Privacy, Content Exclusions, and Safeguards (10-15%)
The final domain covers the administrative and security controls that govern how Copilot behaves within an organization - critical knowledge for anyone responsible for rolling Copilot out to a team.
Privacy and Safeguard Configuration
- Setting content exclusions to keep sensitive files out of Copilot's context
- Configuring organization-level privacy and data-handling settings
- Applying safeguards around suggestion matching and code provenance
- Understanding how audit logs support governance and compliance
This domain overlaps conceptually with Domain 1's responsible-use principles but focuses on the concrete settings an administrator configures rather than the judgment a developer applies.
Turning Domain Weights Into a Study Plan
With six domains ranging from 10% to 30%, a simple way to allocate study time is proportional to weight, while still budgeting minimum time for every domain since none falls below 10%.
| Domain | Weight | Relative Priority |
|---|---|---|
| 2. Use GitHub Copilot Features | 25-30% | Highest |
| 1. Use GitHub Copilot Responsibly | 15-20% | High |
| 3. Data and Architecture | 10-15% | Moderate |
| 4. Prompt Engineering and Context | 10-15% | Moderate |
| 5. Developer Productivity | 10-15% | Moderate |
| 6. Privacy and Safeguards | 10-15% | Moderate |
Domain 2 Deep Dive
- Practice IDE setup, Chat, CLI, Agent Mode, Copilot Edits, and MCP hands-on
- Review organization policy management and the subscription REST API
Domains 1 and 6
- Study responsible-use scenarios and review-required situations
- Configure content exclusions and privacy settings in a test org
Domains 3, 4, and 5
- Review architecture and data-flow concepts
- Practice prompt iteration and context crafting exercises
- Map features to productivity outcomes like PR summary review
Full Review and Timing
- Take timed practice questions across all six domains
- Revisit weak domains identified from missed questions
If you'd rather see a full week-by-week plan built around this exact weighting, the GH-300 study guide expands on this timeline in more detail, and you can gauge your baseline readiness using practice questions on our GH-300 practice test platform.
Question Format and What to Expect on Screen
GH-300 is a proctored exam with a 100-minute testing time, and it may include interactive components alongside standard multiple-choice, multiple-response, and scenario-based items. A scaled score of 700 or greater is required to pass - a threshold explained in more depth in the GH-300 passing score guide.
The exam is offered in English, Spanish, Portuguese (Brazil), Korean, and Japanese, and candidates testing in a non-preferred language can request an additional 30 minutes. Registration costs $99 USD, though the exact amount is set by the country or region where the exam is proctored - see the GH-300 certification cost breakdown for a fuller picture, including Exam Replay bundles sold by Microsoft and the single-use voucher available to GitHub Student Developer Pack holders (valid for either GH-300 or GH-900).
If your first attempt doesn't succeed, you can retake after 24 hours, with progressively longer waits for later retakes. The certification also expires annually and renews at no cost through an online assessment on Microsoft Learn - worth planning around if you're timing certification against a job search or internal promotion cycle covered in the GH-300 jobs overview.
Frequently Asked Questions
Domain 2, Use GitHub Copilot Features, carries the heaviest weight at 25-30%, covering IDE enablement, chat, Agent Mode, Copilot Edits, MCP, and organization policy management.
No. Every other domain is weighted at 10% or higher, and a scaled score of 700+ is required overall, so gaps in domains like responsible use or privacy configuration can still cause a failing score.
No. The current skills-measured version took effect August 7, 2026, so material based on earlier outlines may misrepresent domain names or weights.
Most items focus on generally available features, but commonly used Preview features may appear, particularly within Domain 2's feature set.
There are no formal prerequisites, though the audience profile assumes practical Copilot experience, GitHub fundamentals, and at least one programming language - see the GH-300 requirements guide for full detail.