Five Star Reviews

"Quality shines through feedback."

Cups of Coffee

"Fuel for late-night study sessions."

Lives Changed

"Learning transforms futures."

Pass Percentage

"Preparation is the key to success."

Five-Star Raves

"Mom says we're ‘pretty good,’ too."

Cups of Coffee Consumed

"Uptime: 99.9% caffeine."

Lives (and LinkedIns) Upgraded

"Side effects may include better offers."

Pass Rate Shenanigans

"We can’t take the test for you. Yet."

Questions Served

"Practice makes progress."

Practice Exams

"Every test is a step closer."

Study Hours Logged

"Consistency beats intensity."

Active Learners

"Together we grow stronger."

Certifications Earned

"Proof of knowledge, power for growth."

Communities Built

"Learning is stronger together."

Mock Exams Taken

"Simulation builds confidence."

Career Boosts

"Knowledge opens new doors."

GH-300 GitHub Copilot Exam Topics

Just the Facts

Proctored exam; you have 100 minutes to complete it
May include interactive components (exam sandbox available)
Offered in: English, Spanish, Portuguese (Brazil), Korean, Japanese
Credential validity: 2 years

Source: Microsoft Learn GH-300 page (duration, languages, proctoring, validity).

Exam Domains & Weights

Domain 1: Responsible AI — 7%
Domain 2: Copilot Plans & Features — 31%
Domain 3: How Copilot Works & Handles Data — 15%
Domain 4: Prompt Crafting & Engineering — 9%
Domain 5: Developer Use Cases for AI — 14%
Domain 6: Testing with Copilot — 9%
Domain 7: Privacy Fundamentals & Context Exclusions — 15%

Source: Microsoft Learn GH-300 “Assessed on this exam” domain breakdown.

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GH-300 GitHub Copilot Exam Objectives

Exam Basics

Audience: developers, admins, PMs proficient with GitHub; hands-on with Copilot to optimize dev workflows
Format: proctored; mix of knowledge & scenario items; 100 minutes
Includes prep resources: study guide, practice assessment, exam sandbox

Source: Microsoft Learn GH-300 overview & resources.

Domain 1: Responsible AI (7%)

Risks, limitations, bias, fairness, privacy, transparency
Validate AI output; mitigation strategies; ethical AI

Domain 2: Copilot Plans & Features (31%)

Plans: Individual, Business, Enterprise; org policies & audit logs
IDE features: inline/chat suggestions, multi-suggestion, exception help, CLI
Enterprise: PR summaries, Chat on GitHub.com, Knowledge Bases, custom models
Business: exclusions, subscription management via REST API

Domain 3: How Copilot Works & Handles Data (15%)

Suggestion lifecycle: context building → proxy filters → LLM → post-processing
Data flows for completions & Chat; context windows & limitations
Duplication/matching concepts

Domain 4: Prompt Crafting & Engineering (9%)

Prompt parts & context; zero-shot vs few-shot; chat history
Best practices & process flow for effective prompts

Domain 5: Developer Use Cases for AI (14%)

Docs, test/data generation, refactoring, debugging, modernization
Learning languages/frameworks; SDLC support; productivity API insights

Domain 6: Testing with Copilot (9%)

Generate/strengthen unit & integration tests; edge-case ideation
Editor config & org-level suggestion settings basics

Domain 7: Privacy & Context Exclusions (15%)

Content exclusions at repo/org; effects & limits; ownership of outputs
Safeguards: duplication detector, contractual protection, data collection settings
Troubleshooting: missing suggestions, exclusions not applied, triggering Copilot

How to Prepare

Read the official GH-300 study guide; align prep to the 7 domains
Use the official practice assessment and exam sandbox
Hands-on with Copilot in VS Code/JetBrains + CLI; practice Knowledge Bases (Enterprise)
Optionally take course GH-300T00 for structured coverage

Sources: Microsoft Learn GH-300 page & study guide; official GH-300 course.