IAPP AIGP · BoK v2.1 · Scenario practice

Ten New Scenarios, Fifty Fresh Questions

V4 scenario bank for the AIGP exam — 10 new realistic cases across AI startups, medical data, legal tech, hospital triage, logistics routing, edtech, retail marketing, tax authority, agentic AI, and renewable energy. Each scenario carries 5 questions with full rationales, BoK domain tags, and a per-domain score breakdown.

10 scenarios50 questionsBoK v2.1 aligned4 domains balancedKeyboard support

How to use: pick a scenario, read the case carefully (you can collapse it to focus on the questions), then answer its 5 questions. Every answer shows the rationale and its BoK domain tag. Use keys 1-4 to select answers and Enter for next. Results show a per-domain breakdown so you know exactly where to focus. Best score per scenario is saved on this device.

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Pick a scenario · 5 questions each

Ten Scenarios, Fifty Questions

Each scenario is a full exam-style case. Read it carefully, then answer its 5 questions. Your best score per scenario is saved on this device.

Scenario · Questions · Rationales

Read, Answer, Learn

The scenario stays visible (collapse it to focus). Every answer shows the rationale and its BoK domain tag. Use 1-4 keys to answer, Enter for next.

Citation ledger

Sources

IAPP AIGP Body of Knowledge v2.1 (effective 2 Feb 2026)Domain structure, competencies, and exam blueprint for all 50 questions
EU AI Act (Regulation (EU) 2024/1689)Risk tiers (Art. 5-6, Annexes I & III), transparency (Art. 50), FRIA (Art. 27), incident reporting, GPAI obligations, substantial modification
GDPR (Regulation (EU) 2016/679)Art. 22 automated decision-making, Art. 35 DPIA, Art. 9 special categories, Art. 15 subject access, Art. 5 principles, cross-border transfers
Singapore PDPA 2012 (as amended) + PDPC guidanceConsent, notification, purpose limitation, accountability, facial recognition guidance for commercial settings
MAS FEAT Principles + Model Risk Management GuidelinesFairness, Ethics, Accountability, Transparency for AI in financial services
NIST AI Risk Management Framework 1.0Govern-Map-Measure-Manage functions for AI risk management
ISO/IEC 42001:2023AI management system standard; PDCA cycle; certifiable management system
Singapore Model AI Governance Framework (2nd ed. 2020) + GenAI Framework (2024)Risk-weighted human oversight; nine GenAI dimensions
OECD AI Principles (2019, updated 2024)Five principles; value-chain accountability
OWASP GenAI Security Project — LLM01:2025 Prompt InjectionJailbreaking and prompt-injection taxonomy for agentic AI
SEI CMU, 'Expecting the Unexpected: Monitoring for Drift in ML Systems'Data, concept, and label drift taxonomy
ISO 9241-210:2019Human-centered design principles for interactive systems