In 2026, a question bank is only as good as the team behind it. LatestCram pairs 219 verified IAPP Certified Artificial Intelligence Governance Professional practice questions with round-the-clock staff and immediate renewal delivery.
IAPP AIGP Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: AI Risk Management and Impact Assessment | - Risk identification and mitigation
|
| Topic 2: Foundations of AI Systems and Governance | - AI system concepts, lifecycle, and terminology
|
| Topic 3: Regulatory and Legal Frameworks for AI | - Global AI governance regulations
|
| Topic 4: AI Lifecycle Governance Implementation | - Operational governance controls
|
What AIGP Candidates Ask
The package includes 219 practice questions for the AIGP exam, all verified and arranged in a well-balanced mix of difficulty to support progressive study.
- Regulatory and Legal Frameworks for AI ()
- Foundations of AI Systems and Governance ()
- AI Risk Management and Impact Assessment ()
Let the topic weights guide how you split your study hours.
The IAPP Certified Artificial Intelligence Governance Professional questions are spread across a well-proportioned range of difficulty, from fundamentals to challenging items. That distribution lets you build confidence session by session, and by the time the real test approaches, you have already faced everything it can reasonably throw at you.
The AIGP exam contains 100 (85 scored + ~15 unscored pilot questions) questions within 165 minutes minutes. Rehearsing under the same limit on the LatestCram simulator builds calm, practiced pacing.
IAPP Official AIGP Training and Resources: Visit official page
AIGP Practice Exam (Official IAPP Store): Visit official page
Official IAPP AIGP Exam Registration: register for AIGP
Pearson VUE Scheduling Portal (via IAPP account): register for AIGP
To pass AIGP you need 300 (scaled score out of 100–500), and the official exam fee is USD 799 (non-member) / USD 649 (IAPP member). Fixing both numbers early keeps your practice target concrete.
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IAPP Certified Artificial Intelligence Governance Professional Sample Questions:
CASE STUDY
Please use the following answer the next question:
A mid-size US healthcare network has decided to develop an Al solution to detect a type of cancer that is most likely arise in adults. Specifically, the healthcare network intends to create a recognition algorithm that will perform an initial review of all imaging and then route records a radiologist for secondary review pursuant agreed-upon criteria (e.g., a confidence score below a threshold).
To date, the healthcare network has taken the following steps: defined its Al ethical principles: conducted discovery to identify the intended uses and success criteria for the system: established an Al governance committee; assembled a broad, crossfunctional team with clear roles and responsibilities; and created policies and procedures to document standards, workflows, timelines and risk thresholds during the project.
The healthcare network intends to retain a cloud provider to host the solution and a consulting firm to help develop the algorithm using the healthcare network's existing data and de-identified data that is licensed from a large US clinical research partner.
Which stakeholder group is most important in selecting the specific type of algorithm?
- A. The healthcare network's Al governance committee.
- B. The healthcare network'sdata science team.
- C. The consulting firm.
- D. The cloud provider.
Correct Answer: B 🗳️
Which of the following is a subcategory of Al and machine learning that uses labeled datasets to train algorithms?
- A. Supervised learning.
- B. Segmentation.
- C. Expert systems.
- D. Generative Al.
Correct Answer: A 🗳️
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Which of the following steps occurs in the design phase of the Al life cycle?
- A. Data augmentation.
- B. Performance evaluation.
- C. Risk impact estimation.
- D. Model explainability.
Correct Answer: C 🗳️
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
Which of the following compliance related controls within an organization is most easily adapted to identify AI risks?
- A. Transfer risk assessments.
- B. Penetration testing.
- C. Privacy impact assessments.
- D. Privacy training.
Correct Answer: C 🗳️
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
Which model is best for efficiency and agility, and tailored for lower-resource settings?
- A. Supervised learning model.
- B. Small language model.
- C. Multimodal model.
- D. Generative language model.
Correct Answer: B 🗳️
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
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