GH-600 Agentic AI Dev ExamPrep
Wassim Boubaker Education iPhoneiPadiPod touch
GH-600 Agentic AI Dev ExamPrep is a free Education app for iPhone and iPad by Wassim Boubaker. Requires iOS 13.0. Updated June 17, 2026.
- Price
- Free
- on the App Store
- Size
- 18 MB
- Age 4+
- Updated
- Jun 17
- 2026 · v1.0
Screenshots
About GH-600 Agentic AI Dev ExamPrep
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.
App privacy
The developer, Wassim Boubaker, reported these privacy practices to Apple.
Data Not Collected
The developer does not collect any data from this app.
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