GH vs GH

GitHub Agentic AI Developer gives you focused mobile practice built around GitHub Certified: Agentic AI Developer (GH-600). Use the app to: - answer more daily questions - target your weakest domain - review explanations and source-backed answers - track exam readiness over time - move into longer timed practice sessions The website gives you a clean daily sample. The app gives you the fuller study flow, larger rotating bank, and better progress tracking.

Ace the GH-600 GitHub Certified: Agentic AI Developer exam with a complete free study app. Built from the official Microsoft/GitHub study guide and community study resources, this app covers the practical, configuration-heavy areas that catch candidates off guard. WHAT'S INSIDE - 105 scenario-based questions across all 6 exam domains - Single-answer and multi-select quiz support - Detailed explanation for every question - Domain-filtered quiz mode — drill Domain 2 (MCP & Tool Use) when you need it most - Flashcard Learning — fundamentals first, then exam domains - Domain 0 basics — learn key terms before tackling exam-style questions - Progress insights — see readiness by domain, active mistakes, and weak areas - Mistake review — retry questions you missed until you answer them correctly - Domain Overview — key topics, exam weights, and study tips per domain - Quick Reference — MCP syntax, Copilot CLI flags, hook types, audit events, GitHub Actions patterns - Long-press any code snippet to copy it instantly - 100% offline — no account, no internet required EXAM DOMAINS COVERED D1 · Agent Architecture & SDLC (15–20%) D2 · Tool Use, MCP & Environment (20–25%) — heaviest domain D3 · Memory, State & Execution (10–15%) D4 · Evaluation & Error Analysis (15–20%) D5 · Multi-Agent Orchestration (15–20%) D6 · Guardrails & Accountability (10–15%) WHAT TO FOCUS ON Based on the official study guide and community practice material: • MCP server config: local stdio vs remote transport • Tool types and tool selection • Agent setup, environment preparation, and approval gates • GitHub Actions contexts, artifacts, permissions, and workflow behavior • Copilot custom agents, instructions, skills, and memory • Evaluation signals, error analysis, auditability, and governance Pass score: 700/1000 scaled score. Published weights are by domain; exact question weights are not published.