Free reasoning-led diagnostic

IAPP Certified AI Governance Professional (AIGP) Mock Exam & Readiness Assessment

A free 30-question diagnostic for IAPP Certified AI Governance Professional (AIGP). Answer at your own pace, then review a domain-by-domain readiness signal with fully explained reasoning for every question.

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  • 30 Questions
  • 23 Single-Answer / 7 Multi-Answer
  • 4 Domains
  • 50 minutes (~1.65 minutes per question based on the official exam)

Who This Diagnostic Is For

This assessment is for learners preparing for IAPP Certified AI Governance Professional (AIGP) who want an honest, evidence-based signal of where they stand today. Every question is original CertShield content, technically validated against current official documentation (Body of Knowledge v2.1, effective February 2, 2026) and peer-reviewed by subject-matter experts before publication.

What It Measures

Questions sampled per domain in this 30-question set.
DomainQuestions
Understanding how laws, standards and frameworks apply to AI8
Understanding how to govern AI deployment and use8
Understanding how to govern AI development8
Understanding the foundations of AI governance6

Limitations of this diagnostic: 30 questions cannot cover every exam objective with equal depth. Domains with fewer than three questions are labelled "Limited evidence" in your results and can never cause a readiness downgrade on their own. This is not an official exam, an accredited course, or a pass-rate prediction.

Technically validated: Completed August 31, 2026, against the IAPP AIGP Body of Knowledge and Exam Blueprint v2. See the assessment methodology for how scoring, confidence and readiness safeguards work.

About the Official Certified AI Governance Professional (AIGP) Exam

Sourced directly from the official Certified AI Governance Professional (AIGP) Exam Guide, published by IAPP — Body of Knowledge v2.1, effective February 2, 2026.

Questions
100 items (85 scored, 15 unscored)
Time Limit
165 minutes, plus an optional 15-minute break
Passing Score
Scaled score of 300 on a 100‑500 scale
Registration Fee
$649 for IAPP members, $799 for nonmembers (first attempt)
Delivery
Online-proctored (Pearson OnVUE) or at a Pearson VUE test center
Validity
2 years, beginning the day after passing

Official exam domains this diagnostic mirrors:

  • Understanding the foundations of AI governance 16‑20 items
  • Understanding how laws, standards and frameworks apply to AI 19‑23 items
  • Understanding how to govern AI development 21‑25 items
  • Understanding how to govern AI deployment and use 21‑25 items

Who this certification is for:

IAPP's own candidate handbook recommends this credential for professionals in AI compliance, risk management, legal and governance, data science, AI project management, model ops, social science, and trust roles — anyone responsible for adopting or managing AI in an organization.

There are no prerequisites for this credential; unscored questions do not count toward the final score.

View the Official Exam Guide (PDF) →

Frequently Asked Questions

How many questions are on the Certified AI Governance Professional (AIGP) exam?

100 items (85 scored, 15 unscored)

How long is the Certified AI Governance Professional (AIGP) exam?

165 minutes, plus an optional 15-minute break

What is the passing score for Certified AI Governance Professional (AIGP)?

Scaled score of 300 on a 100‑500 scale

How much does the Certified AI Governance Professional (AIGP) exam cost?

$649 for IAPP members, $799 for nonmembers (first attempt)

What topics are covered in the Certified AI Governance Professional (AIGP) exam?

The exam covers Understanding the foundations of AI governance 16‑20 items, Understanding how laws, standards and frameworks apply to AI 19‑23 items, Understanding how to govern AI development 21‑25 items, and Understanding how to govern AI deployment and use 21‑25 items.

Who is the Certified AI Governance Professional (AIGP) exam for?

IAPP's own candidate handbook recommends this credential for professionals in AI compliance, risk management, legal and governance, data science, AI project management, model ops, social science, and trust roles — anyone responsible for adopting or managing AI in an organization.

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