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IAPP AIGP Artificial Intelligence Governance Practice Exams
100 students

IAPP AIGP Artificial Intelligence Governance Practice Exams

Scenario-based AI governance questions on AI laws, risk frameworks, AI development and deployment, fully explained
Last updated 11/2026
English

What you'll learn

  • Explain how AI systems, including generative and agentic AI, work and the risks and harms they can create
  • Build an AI governance program with clear roles, policies, accountability, and responsible AI principles
  • Apply existing privacy, consumer protection, and anti-discrimination laws to AI systems and their use
  • Interpret the EU AI Act and other emerging AI laws, including risk classification and organizational obligations
  • Use standards and frameworks such as NIST AI RMF and ISO/IEC 42001 to structure AI governance
  • Govern AI development through impact assessments, data governance, testing, validation, and documentation
  • Assess third-party and vendor AI, and decide whether a system is ready for deployment
  • Oversee AI in production with human oversight, monitoring, incident management, and responsible retirement

Included in This Course

450 questions
  • Exam 175 questions
  • Exam 275 questions
  • Exam 375 questions
  • Exam 475 questions
  • Exam 5 ( Bonus Exam )75 questions
  • Exam 6 ( Bonus Exam )75 questions

Description

Prepare for the IAPP Artificial Intelligence Governance Professional (AIGP) exam with realistic, scenario-based practice

These AIGP practice tests are for privacy, legal, risk, compliance, and technology professionals preparing for the IAPP’s Artificial Intelligence Governance Professional certification. The AIGP exam tests whether you can govern AI responsibly across its whole life. That covers understanding AI systems and their risks, applying laws, standards, and frameworks, overseeing how AI is designed and built, and managing how it is deployed and used. This course helps you practice the judgment an AI governance professional needs.

Why this course

The AIGP Body of Knowledge was updated for 2026. It puts more emphasis on generative and agentic AI, third-party risk, impact assessments, and new AI laws, and many older study materials don’t reflect these changes. Each question here puts you in a realistic organizational situation and asks for the best governance decision. You might need to classify a system under the EU AI Act, decide what an impact assessment must cover, set oversight for an AI agent, or assess a vendor’s model. All questions are original, mapped to the current Body of Knowledge, and updated as AI regulation evolves.

What’s inside, by exam domain

  • Foundations of AI governance: what AI systems are and how they work, generative and agentic AI, AI risks and harms, responsible AI principles, and building an AI governance program with clear roles, policies, and accountability

  • Laws, standards, and frameworks: how existing privacy, consumer protection, and anti-discrimination laws apply to AI; the EU AI Act and other emerging AI laws; and standards and frameworks such as the NIST AI Risk Management Framework and ISO/IEC 42001

  • Governing AI development: defining the business context and use case, impact and risk assessments, data governance and data quality, model design, training, testing, and validation, and documentation and transparency

  • Governing AI deployment and use: assessing third-party and vendor AI, deployment readiness, human oversight, monitoring and incident management, managing change and drift, and responsible retirement of AI systems

How the explanations help you learn

Every question includes a detailed explanation for every answer option. You learn why the best answer fits the governance scenario and why each alternative falls short. An alternative might move ahead before a risk is assessed, misread a legal obligation, or leave out human oversight where it matters. Working through these explanations builds the practical reasoning the AIGP rewards, so you’re better prepared to guide AI decisions in your organization.

Who it’s for

  • Privacy professionals, lawyers, compliance officers, risk managers, data and AI leaders, and product professionals responsible for governing AI in their organizations

Start practicing today

You get lifetime access, regular updates, and the protection of Udemy’s 30-day refund policy. Enroll now, find your weak domains, and go into the AIGP exam prepared.

Disclaimer

This course is an independent, unofficial study resource. It is not affiliated with, endorsed by, or sponsored by the International Association of Privacy Professionals (IAPP). AIGP, IAPP, and related names are trademarks of the IAPP. Other framework, standard, and law names belong to their respective owners or issuing bodies. All of these names are used only to identify the exam and the topics it covers. All questions are original practice material and are not drawn from any IAPP exam.

Who this course is for:

  • Candidates preparing for the IAPP Artificial Intelligence Governance Professional (AIGP) exam
  • Privacy professionals and CIPP, CIPM, or CIPT holders expanding into AI governance
  • Lawyers, compliance officers, and policy professionals advising on AI laws and regulation
  • Risk managers and data and AI leaders building responsible AI programs
  • Product managers and technologists who need to design and deploy AI responsibly
  • Candidates retaking the AIGP who want targeted practice on their weaker domains