Every AIGP candidate eventually asks the same question: how many questions do I actually need to get right? It sounds simple. The answer is more nuanced than most prep guides admit — and understanding it properly changes how you study.
Let's break down the scoring system in full, because knowing the mechanics of the benchmark is itself a strategic advantage.
The Definitive Passing Score
The AIGP uses a scaled score, not a raw percentage. The passing benchmark is a scaled score of 300, on a range from 100 to 500. This number does not fluctuate between candidates or exam versions. It is the single, fixed standard you must reach, regardless of which exam form you receive on test day.
A scaled score of 300 is not "60% correct." It is a psychometrically calibrated benchmark that accounts for slight differences in difficulty between exam forms. Two candidates who sit different versions of the AIGP can be compared on equal terms because of this system.
The IAPP uses a process called psychometric scaling to produce this number. An exam development board establishes a "Cut Score" — the raw number of correct answers required — for each version of the exam. That raw number may shift slightly if one exam form is marginally harder than another. The 300 scaled score is the consistent output of that process. It is what you see on your score report; it is what determines whether you pass.
What You're Actually Being Scored On
The exam contains 100 multiple-choice questions, but not all of them count. The structure is as follows:
- 85 scored items — these determine your result.
- 15 unscored pretest items — statistical placeholders for future exam development. They look identical to scored questions; you will not know which is which.
Each correct answer is worth exactly one point. There is no partial credit, and — critically — there is no penalty for wrong answers. An unanswered question counts as incorrect. The strategic implication is absolute: never leave a question blank. A guess gives you a 25% chance of a correct answer. A blank guarantees zero.
With 85 scored items and a passing threshold that scales to 300, most candidates should target roughly 60–65 correct answers on the scored portion as a practical goal — though the exact raw figure varies slightly by exam form. Build your preparation for a comfortable margin above that floor, not for the minimum.
How the Exam is Structured
You have 3 hours total, broken down as follows: 2 hours and 45 minutes (165 minutes) of active testing time, plus one optional 15-minute break mid-exam. When you take the break, the clock stops — but you cannot return to questions you have already passed. This is not a minor detail. It means your decision to break must be deliberate.
At 100 questions across 165 minutes, your baseline pace is approximately 1 minute and 36 seconds per question. That is tight. What makes it tighter: roughly 30% of the exam consists of complex scenario-based case studies, which consistently consume more time than standalone questions.
The recommended approach for case studies is to scan the scenario first for structural identifiers — specifically, whether the organisation described is an AI developer or an AI deployer. This single determination resolves a significant portion of what Domains III and IV will ask you. Misidentifying the organisational role is the most common source of missed points on the practical portion of the exam.
Where the Points Are: Domain Weighting
The current exam is built on Body of Knowledge Version 2.1, effective February 2026, which reflects the full regulatory landscape including the EU AI Act and ISO/IEC 42001. The blueprint weights four domains as follows:
| Domain | Min Questions | Max Questions |
|---|---|---|
| Domain I: Foundations of AI Governance | 16 | 20 |
| Domain II: AI Laws, Standards & Frameworks | 19 | 23 |
| Domain III: Governing AI Development | 21 | 25 |
| Domain IV: Governing AI Deployment & Use | 21 | 25 |
Domains III and IV together account for up to 50 of the 85 scored questions — nearly 60% of your result. These are also the domains most closely tied to practical application and scenario reasoning, not memorisation. Candidates who over-index on Domains I and II (which are more definitional in nature) and under-prepare for the operational governance tasks in III and IV consistently fall short.
Exam Logistics and Pricing
The AIGP is administered through Pearson VUE, available at physical testing centres or via the OnVUE remote proctoring platform. Pricing varies by IAPP membership status:
| Fee Type | IAPP Member | Non-Member |
|---|---|---|
| First-time Exam Fee | $649 | $799 |
| Retake Exam Fee | $475 | $625 |
One logistical detail worth highlighting: the discounted retake fee of $475 also applies if you already hold another active IAPP certification, such as a CIPP/E or CIPM. If you are an existing IAPP certificant sitting the AIGP for the first time, confirm your eligibility for this rate before registering.
Perhaps more important than the price is the one-year purchase window. You must not only schedule your exam within one year of purchase — you must complete it within that window. Failure to sit the exam results in full forfeiture of fees, with no exceptions.
After You Pass: Maintaining the Credential
Earning the AIGP initiates a two-year certification term beginning the day after you pass. Maintaining the credential requires 20 Continuing Professional Education (CPE) credits per term, with strict caps on how those credits can be earned:
- AI Work Tasks (e.g. drafting AI policies, red-teaming): maximum 7 credits per term
- Publishing Material (articles over 800 words): maximum 12 credits per term
- Reading AI Publications (1 CPE per 40 pages): maximum 5 credits per term
Credits can be carried forward across terms — but only up to 10 credits, and only if they were earned in the final six months of your current term. Plan your CPE strategy accordingly; front-loading credits early in a term does not help you carry them forward.
The annual maintenance fee is included in IAPP membership. Non-members pay $250 per term to maintain the credential.
How to Actually Prepare for a 300+
The AIGP is not a recall exam. The IAPP explicitly designs questions around Bloom's Taxonomy, and the upper domains — where the bulk of your points sit — operate at the Apply and Analyse levels. You should expect questions that ask you to differentiate, execute, implement, relate, and solve, not merely define or list.
IAPP official training materials provide a necessary foundation, but they are not sufficient on their own. The exam is built to assess competence, not course completion. Supplement your preparation with primary sources: the NIST AI Risk Management Framework and the text of the EU AI Act are non-negotiable reading for any candidate targeting a comfortable pass margin.
The single most high-leverage habit you can build is the ability to rapidly and correctly classify the organisational role in any scenario. Every time a case study is placed in front of you, your first move should be: is this entity a developer or a deployer? That classification governs which governance obligations apply, which domain concepts are relevant, and which answer choices are plausible. Master that reflex, and Domains III and IV become significantly more tractable.
The 300 scaled score is the destination. The path to it is less about covering every topic and more about building the analytical judgment to apply governance principles under time pressure. That is precisely what structured, exam-aligned preparation is designed to develop.