Developing in Agentic AI Systems
Practice questions and flashcards for GH-600: Developing in Agentic AI Systems — the GitHub Certified: Agentic AI Developer exam. Covers SDLC integration, MCP servers, tool use, multi-agent orchestration, guardrails, evaluation, and accountability for production AI agents on GitHub.
GH-600 is a 120-minute proctored exam (passing score 700/1000) delivered through Pearson VUE. It validates the ability to operate, integrate, supervise, and govern AI agents inside production-grade SDLC workflows with GitHub as the system of record and control plane. The exam was in beta from 2026-05-13, with general availability expected July 2026. Six skill domains are assessed: SDLC integration (15-20%), tool use and MCP servers (20-25%), memory/state/execution (10-15%), evaluation and tuning (15-20%), multi-agent orchestration (15-20%), and guardrails and accountability (10-15%).
| Domain | Weight | Items | Coverage |
|---|---|---|---|
Prepare agent architecture and SDLC processes | 17.5% | 125 items | |
Implement tool use and environment interaction | 22.5% | 175 items | |
Manage memory, state, and execution | 12.5% | 100 items | |
Perform evaluation, error analysis, and tuning | 17.5% | 125 items | |
Orchestrate multi-agent coordination | 17.5% | 125 items | |
Implement guardrails and accountability | 12.5% | 100 items |
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Correct answer: Requirements and planning using GitHub Issues and Discussions. This is one of 500 practice questions in the GH-600 GitHub Certified: Agentic AI Developer pack on ReadRoost.
The GH-600 GitHub Certified: Agentic AI Developer study pack on ReadRoost includes 500 practice questions and 250 flashcards, covering 6 exam domains including Prepare agent architecture and SDLC processes. Every question has a detailed explanation so you understand why each answer is right or wrong.
Yes. The GH-600 GitHub Certified: Agentic AI Developer pack is mapped to the latest official exam objectives and is maintained by the ReadRoost team. You get flashcards with spaced repetition, timed practice exams, and AI-powered explanations.
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