GitHub Agentic AI Developer (GH-600) Exam Prep
Advanced
Operate production-grade systems · 4 tutorials · 35-45 min each
Walk into the GH-600 exam knowing each domain cold — with the GitHub control-plane mental model, worked scenarios, and an exam-day playbook to pass on the first attempt.
Domain 4: Evaluation, Error Analysis & Tuning
Defining success criteria and evaluation signals, root-causing agent failures from logs and traces, and tuning instructions, memory, and tool access based on results — Domain 4 (15–20%) of GH-600.
Domain 5: Multi-Agent Coordination
Orchestration patterns, agent isolation and conflict resolution, observability across agents, detecting degraded multi-agent behavior, and managing the agent lifecycle — Domain 5 (15–20%) of GH-600.
Domain 6: Guardrails & Accountability
Classifying actions by risk to assign autonomy levels, human-in-the-loop for high-judgment actions, blocking policy-violating actions, least-privilege scoping, and authorization for irreversible changes — Domain 6 (10–15%) of GH-600.
Exam-Day First-Attempt Playbook
A two-week study plan, a question-reading strategy, the decision heuristics that resolve most GH-600 questions, a full mixed practice set with explanations, and exam-day logistics — everything to pass GH-600 on the first attempt.