GitHub Agentic AI Developer (GH-600) Practice Tests

About this course

Disclaimer:The GitHub Agentic AI Developer (GH-600) Practice Tests is an independent publication and is neither affiliated with, nor authorized, sponsored, or approved by, GitHub.Course content is subject to change without notice.The GitHub Agentic AI Developer (GH-600) Practice Tests are meticulously crafted to help you prepare for and pass the official GitHub Agentic AI Developer certification exam. This certification validates your expertise in designing, building, and deploying agentic AI solutions using GitHub's ecosystem - including GitHub Copilot, GitHub Actions, GitHub Models, and related developer tools.As agentic AI becomes a cornerstone of modern software development, organizations are actively seeking developers who can harness AI-driven automation to accelerate delivery, improve code quality, and build intelligent workflows. The GH-600 certification positions you as a verified expert in this rapidly evolving field, making it a highly valuable credential for developers, engineers, and technical leads.These practice tests are designed to mirror the structure, difficulty, and scope of the actual certification exam. Each question has been carefully developed to evaluate your understanding of core concepts, practical skills, and real-world application of agentic AI on the GitHub platform. Topics covered across the practice tests include:GitHub Copilot features, capabilities, and agentic mode usageDesigning and orchestrating agentic AI workflows with GitHub ActionsIntegrating GitHub Models and external AI APIs into development pipelinesUsing GitHub Copilot Extensions and custom agentsApplying responsible AI principles and security best practicesAutomating code review, testing, and deployment with AI-driven agentsManaging AI-assisted pull requests, issues, and project workflowsUnderstanding prompt engine