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GH-300GitHub Copilot
GH-300 · 30 days left ›
PREDICTED786 ±37✓ Exam Ready · 87% confidence
Try a question
Practise a GH-300 decision.
Which of the following code editors does NOT have an officially maintained GitHub Copilot extension or plugin?
JetBrains IntelliJ IDEAGitHub publishes a plugin on the JetBrains Marketplace that brings completions and chat to IDEs like IntelliJ IDEA and PyCharm, keeping it in the supported set.
EclipseA GitHub-maintained plugin exists for this Java-oriented IDE, letting developers accept suggestions and open chat, so it belongs to the supported group.
Visual Studio CodeThe flagship Copilot experience lives here through a dedicated Marketplace extension delivering completions, chat, and agent mode, so it is firmly supported.
Sublime TextGitHub maintains no first-party plugin for that editor, leaving it outside the officially supported lineup spanning Visual Studio, VS Code, JetBrains IDEs, Neovim, Eclipse, and Xcode.
GH-300 Practice Questions & Exam Prep — GitHub Copilot
Get exam-ready for GH-300 (GitHub Copilot) on iPhone or iPad. Azure Mastery uses on-device AI to predict your readiness score, build a personalised study plan around the six GitHub Copilot domains, and surface topics you're forgetting. Core study stays on-device and works offline; optional sync uses your private iCloud account.
The exam
What is the GH-300 exam?
GH-300 is the GitHub Copilot certification — an intermediate credential for developers and technical team members who already use Copilot and want to prove real, applied expertise. It's owned and maintained by GitHub but delivered through Microsoft's exam platform, and assumes GitHub fundamentals plus experience in at least one programming language.
This is not a beginner exam. It validates that you can:
Use GitHub Copilot responsibly
Work fluently with Copilot's features across the IDE, CLI and beyond
Understand how Copilot processes your data
Craft effective prompts
Configure the right privacy and safeguards
GH-300 is applied rather than purely conceptual — it expects a working model of how Copilot fits into a real development workflow, from inline suggestions and Copilot Chat through to organization-wide policy management. It also tests the judgement around the tool:
Why you must validate AI output before trusting it
How prompt context is determined
When duplication detection and content exclusions matter
How to read the security warnings Copilot surfaces
The GH-300 skills outline was last updated on 7 August 2026. Every question in Azure Mastery's GH-300 bank is mapped to the current six-domain outline — including newer surfaces such as Plan Mode, Agent Mode, MCP, and Spaces and Spark — with no leftover questions on retired features. Read the official study guide at learn.microsoft.com.
GitHub certification exams do not include the embedded Microsoft Learn reference available in many Microsoft role-based exams. Treat the 100 minutes as a closed-reference recognition and judgement exercise: practise moving from a code-completion scenario to an organisation-policy scenario without stopping to search documentation. Pay particular attention to clues that distinguish personal, Business, and Enterprise plans; repository content exclusions; public-code matching; agent versus plan mode; and prompt-context sources. Those boundaries are more durable than memorising every menu label as Copilot's product surfaces evolve.
QuestionsCount varies; may include interactive items
Duration100 minutes
Pass score700 / 1000
CostUSD $99 (regional pricing may vary)
LevelIntermediate · valid 2 years
FormatOnline or test centre
Skills measured · 7 August 2026
GH-300 exam objectives
Six domains, with weights from GitHub's skills outline as of 7 August 2026. GitHub's own skill-group wording appears verbatim under each domain below, taken straight from the official study guide, so you always know exactly where a weak spot sits.
Developer skill mapPlanCodeSecureShip
Use GitHub Copilot ResponsiblyPublished weight 15–20%
64 exam-scoped practice questions in the app
Explore Responsible AI topics
Understand responsible AI principles
Validate and operate AI tools
Tests why you must validate Copilot's output before trusting it in a specific scenario.
Candidates treat this domain as filler and under-study it, then miss specific harm-and-mitigation scenarios.
Learn to name the failure mode — biased, insecure, or simply wrong — and how a professional responds.
Use GitHub Copilot FeaturesPublished weight 25–30%
102 exam-scoped practice questions in the app
Explore Features topics
Use GitHub Copilot in the IDE
Use GitHub Copilot CLI
Use Copilot features and capabilities
Manage organization-wide settings and policies
Chat, the CLI, Agent Mode, Edit Mode, and MCP each fit a different task, and matching them up is the point.
Whichever feature you use daily tends to get picked, even when the scenario actually needs a different one.
Learn what Agent Mode hands off to sub-agents and what MCP connects outside the editor.
Understand GitHub Copilot Data and ArchitecturePublished weight 10–15%
47 exam-scoped practice questions in the app
Explore Data & Architecture topics
Describe data handling and flow
Understand lifecycle and limitations
Tests tracing a request: how code and prompts get filtered before a model ever sees them.
Candidates skip this domain as background trivia, then miss questions on why a suggestion can be wrong.
Learn exactly what the proxy service does during post-processing.
Apply Prompt Engineering and Context CraftingPublished weight 10–15%
48 exam-scoped practice questions in the app
Explore Prompt Engineering topics
Craft effective prompts
Engineer prompts for performance
Prompt structure and surrounding context quietly shape what Copilot actually returns.
More examples don't always help — missing that a zero-shot prompt is the right call trips people up here.
Learn to read chat history back to see why a reply drifted from what you meant.
Improve Developer Productivity with GitHub CopilotPublished weight 10–15%
46 exam-scoped practice questions in the app
Explore Productivity topics
Enhance productivity and code quality
Support testing and security
Tests using Copilot for code generation, refactoring, documentation, and unfamiliar-codebase ramp-up.
Candidates describe productivity in vague terms instead of citing a case like Copilot cutting a task from an hour to ten minutes.
Learn to pair Copilot-generated tests with the edge cases a first pass typically misses.
Configure Privacy, Content Exclusions, and SafeguardsPublished weight 10–15%
49 exam-scoped practice questions in the app
Explore Privacy & Safeguards topics
Manage privacy settings and exclusions
Apply safeguards and troubleshoot
A described scenario needs the specific content exclusion or safeguard that actually fits it, rather than a merely plausible one.
Repository-level and organisation-level exclusions get confused when both could plausibly apply.
Learn where duplication-detection filtering sits relative to a content exclusion in the pipeline.
Common traps
Where GH-300 candidates slip
Four recurring misconceptions that trip up otherwise well-prepared GH-300 candidates, grounded in the current study guide.
Content exclusions and duplication detection solve different problems
A content exclusion stops Copilot reading a file at all, while duplication detection runs after a suggestion is generated.
The exam is testing whether you pick a content exclusion to stop Copilot seeing a secrets file entirely.
Pick duplication detection instead whenever the concern is shipping code that matches a public repository.
Agent Mode, Edit Mode, and Chat each answer a different scope of task
Chat answers a question without touching files, Edit Mode changes files you've specified, and Agent Mode executes a multi-step task alone.
A task's scope and autonomy level point to one specific mode, and reading that correctly is what earns the mark.
Pick the mode the task actually calls for, not whichever one you happen to use most.
Zero-shot and few-shot prompting are a spectrum, not a binary choice
Candidates assume more examples always produce a better suggestion, but that isn't how GH-300 grades the choice.
A simple, well-understood task calls for a zero-shot prompt, and recognising that is precisely the point being tested.
Reach for a few-shot prompt only when it disambiguates a pattern Copilot could otherwise guess wrong.
Validating Copilot's output is a named, testable skill on this exam
GH-300 doesn't treat "always check the AI's work" as background advice; it names specific failure modes to catch.
The exam is testing whether you can identify a plausible-looking but insecure pattern or a hallucinated API by name.
Avoid answering with a generic "review the code" when a more specific, correct option sits right next to it.
Designed for GH-300
How Azure Mastery helps you pass GH-300
Exam-specific practice
356 GH-300 practice questions, tagged against all six published domains.
Use GitHub Copilot features carries the most weight at 25–30%, so rehearsal leans there first.
Practise matching each task to the Copilot surface built specifically for it.
Predicted score
Exam IQ predicts your GH-300 score on-device after roughly 30 questions, with a confidence range attached.
The features domain carries the largest published weight, so an early read leans heavily on those surfaces.
Get that domain solid and the rest of the prediction tends to follow.
Adaptive study plan
Miss a content-exclusions question and the next session surfaces another from that same domain.
Nail Agent Mode versus Edit Mode three sessions running and the plan moves on to newer material.
The six domains aren't left for a final cram; smaller ones still get scheduled time.
Knowledge decay
GH-300 covers surfaces that update often — Agent Mode, MCP, Spaces and Spark all shipped recently.
A topic nailed a month ago is more likely to have drifted here than in a slower-moving domain.
Weak-spot drills pull from the decayed list first, before you notice you've gone rusty.
The mix is weighted to all six published domain percentages, with no flag-and-review to fall back on.
It's original practice content built to GH-300's shape, not a reproduction of the live exam.
Answer Coach
Opens with the surface you actually picked, then walks forward to the one the question needed.
The note fixes the boundary between two similar tools, not a fact you'd have got right on a flashcard.
Every miss lands in your missed-answers list, authored first, with an optional grounded on-device rewrite.
Aura guidance
Aura keeps adapting through your first week, leaning into whichever domain is still costing you marks.
Prompt engineering and productivity questions tend to need the most rehearsal early on.
Private by design
Privacy is one of GH-300's own domains, so Azure Mastery holds itself to the same standard.
Your answer history, readiness prediction, and coaching all stay on your device.
iCloud sync is optional and private, with no account required to start.
2-week revision plan
Suggested GH-300 study plan
Explore Copilot features, responsible use and architecture in the first week. Use the second week for prompting, safeguards and timed practice.
Copilot features
Explore inline suggestions, Chat, CLI and planning, agent and editing modes.
Review MCP, code review, Spaces and Spark.
Compare organisation policy settings.
Responsible use
Review generative AI risks and limitations.
Identify possible harms and mitigations.
Validate generated output before relying on it.
Data and architecture
Trace input processing and prompt building.
Review proxy filtering and post-processing.
Understand the suggestion lifecycle and model limitations.
Prompts and productivity
Practise prompt structure, context, zero-shot and few-shot examples.
Use Copilot for generation, refactoring and documentation.
Review tests, edge cases, security and performance.
Privacy and safeguards
Review content exclusions and editor settings.
Explore output ownership, duplication detection and security warnings.
Use Focus Weak Spots to revisit difficult topics.
Timed rehearsal
Complete two simulator sessions of about 100 minutes.
Review explanations after each run.
Revisit the decisions you missed.
Light review
Revisit your key notes.
Allow time to rest.
Use your practice results to decide whether more study is needed.
Frequently asked
GH-300 FAQs
How much does the GH-300 exam cost, and how long is it?
GitHub lists GH-300 at USD $99 in the United States and gives candidates 100 minutes. Your booking page shows any regional price, and the passing score is 700 out of 1000. Because the blueprint moves between responsible use, Copilot features, data and architecture, prompt engineering, productivity, and privacy safeguards, practise switching context without pausing.
Does the GH-300 GitHub Copilot certification expire?
GitHub credentials are valid for two years, renewed by re-examination — once you pass GH-300 you stay certified for two years, then re-sit to keep it current. The exam is delivered through Microsoft's platform, but GitHub owns the credential and sets this validity.
Who is the GH-300 GitHub Copilot exam for?
GH-300 is an intermediate credential for developers who already use Copilot day to day and want to prove applied expertise. It assumes GitHub fundamentals and one programming language. This isn't a beginner exam — it tests working knowledge of Copilot's features, data flows, and prompt engineering.
How much of GH-300 is prompt engineering?
Prompt engineering and context crafting is its own domain, weighted 10–15%. It tests how you structure a prompt, how Copilot determines context, and the difference between zero-shot and few-shot prompting — paired closely with the data-and-architecture domain that explains how a prompt gets processed.
GH-300 vs AZ-400 — is there any overlap for a DevOps engineer?
Some, but different layers. AZ-400 covers pipelines, releases, and security across Azure DevOps and GitHub at a platform-engineering level. GH-300 stays focused on Copilot itself: using it responsibly, prompting it well, and configuring privacy controls. Neither substitutes for the other.
I didn't pass GH-300 — how soon can I try again?
GH-300 follows Microsoft's standard retake policy even though GitHub owns the credential.
First retake: after 24 hours.
Second and third retakes: a 14-day wait each.
Microsoft caps attempts at five per rolling 12-month period, each needing its own voucher.
What should I expect from GH-300's exam format?
Neither Microsoft nor GitHub publishes a fixed question count — it varies by sitting, and so do the formats. Azure Mastery's bank weights single-answer and scenario items most heavily, with multi-select, drag-to-match, and hotspot questions layered in as original practice content.
Can I try Azure Mastery's GH-300 content before paying?
Yes. The app is free to download, with 50+ free GH-300 questions and written explanations. The full bank unlocks with a one-time exam-pack purchase, or unlock every exam with a subscription or lifetime upgrade. Pro adds coaching and a readiness forecast while you work towards the GitHub Copilot certification.
Does GH-300 practice work offline?
Yes — practice, scoring, and the readiness prediction all happen on-device, so you can keep going on a plane or through a tunnel with zero signal. No account is required, and your study history stays local unless you switch on iCloud sync.
Free study guides
Free guides that pair with GH-300
After GH-300
Related certifications
GH-300 is an intermediate GitHub Copilot credential, but it pairs naturally with GitHub's entry-level exam and Microsoft's AI Fundamentals. If you're building broad GitHub and AI expertise, these two are the most popular companions — and Azure Mastery covers both.
Ready to pass GH-300?
Download Azure Mastery free. 356 GH-300 practice questions, AI score prediction, and a personalised study plan that adapts to your weak spots. iPhone & iPad.
