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IAPP AIGP Exam Overview:

Certification Vendor:IAPP (International Association of Privacy Professionals)
Exam Name:IAPP Certified Artificial Intelligence Governance Professional Exam
Exam Number:AIGP
Available Languages:English
Certificate Validity Period:2 years
Exam Format:Multiple-choice, Scenario-based
Related Certifications:CIPP
CIPT
CIPM
Passing Score:300 (scaled score out of 500)
Exam Duration:165 (including 15-minute optional break)
Real Exam Qty:100
Exam Price:USD 649 (members) / USD 799 (non-members)
Recommended Training:Official AIGP Body of Knowledge & Study Guide
IAPP Training & Resources
Exam Registration:Pearson VUE Scheduling
IAPP Official Registration
Sample Questions:IAPP AIGP Sample Questions
Exam Way:Online remote proctored or in-person at Pearson VUE test centers
Pre Condition:No formal prerequisites; open to all professionals
Official Syllabus URL:https://iapp.org/certify/aigp

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IAPP AIGP Exam Syllabus Topics:

TopicDetails
Topic 1
  • Understanding How to Govern AI Development: This section of the exam measures the skills of AI project managers and covers the governance responsibilities involved in designing, building, training, testing, and maintaining AI models. It emphasizes defining the business context, performing impact assessments, applying relevant laws and best practices, and managing risks during model development. The domain also includes establishing data governance for training and testing, ensuring data quality and provenance, and documenting processes for compliance. Additionally, it focuses on preparing models for release, continuous monitoring, maintenance, incident management, and transparent disclosures to stakeholders.
Topic 2
  • Understanding How Laws, Standards, and Frameworks Apply to AI: This section of the exam measures skills of compliance officers and covers the application of existing and emerging legal requirements to AI systems. It explores how data privacy laws, intellectual property, non-discrimination, consumer protection, and product liability laws impact AI. The domain also examines the main elements of the EU AI Act, such as risk classification and requirements for different AI risk levels, as well as enforcement mechanisms. Furthermore, it addresses the key industry standards and frameworks, including OECD principles, NIST AI Risk Management Framework, and ISO AI standards, guiding organizations in trustworthy and compliant AI implementation.
Topic 3
  • Understanding How to Govern AI Deployment and Use: This section of the exam measures skills of technology deployment leads and covers the responsibilities associated with selecting, deploying, and using AI models in a responsible manner. It includes evaluating key factors and risks before deployment, understanding different model types and deployment options, and ensuring ongoing monitoring and maintenance. The domain applies to both proprietary and third-party AI models, emphasizing the importance of transparency, ethical considerations, and continuous oversight throughout the model’s operational life.
Topic 4
  • Understanding the Foundations of AI Governance: This section of the exam measures skills of AI governance professionals and covers the core concepts of AI governance, including what AI is, why governance is needed, and the risks and unique characteristics associated with AI. It also addresses the establishment and communication of organizational expectations for AI governance, such as defining roles, fostering cross-functional collaboration, and delivering training on AI strategies. Additionally, it focuses on developing policies and procedures that ensure oversight and accountability throughout the AI lifecycle, including managing third-party risks and updating privacy and security practices.

IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q85-Q90):

NEW QUESTION # 85
Cloud-based deployment of AI often has which of the following advantages?

Answer: D

Explanation:
Cloud-based AI deployment simplifies scaling resources up or down on demand, providing flexibility and efficiency.


NEW QUESTION # 86
CASE STUDY
Please use the following to answer the next question:
XYZ Corp., a premier payroll services company that employs thousands of people globally, is embarking on a new hiring campaign and wants to implement policies and procedures to identify and retain the best talent. The new talent will help the company's product team expand its payroll offerings to companies in the healthcare and transportation sectors, including in Asia.
It has become time consuming and expensive for HR to review all resumes, and they are concerned that human reviewers might be susceptible to bias.
To address these concerns, the company is considering using a third-party AI tool to screen resumes and assist with hiring. They have been talking to several vendors about possibly obtaining a third-party AI-enabled hiring solution, as long as it would achieve its goals and comply with all applicable laws.
The organization has a large procurement team that is responsible for the contracting of technology solutions. One of the procurement team's goals is to reduce costs, and it often prefers lower-cost solutions. Others within the company deploy technology solutions into the organization's operations in a responsible, cost-effective manner.
The organization is aware of the risks presented by AI hiring tools and wants to mitigate them. It also questions how best to organize and train its existing personnel to use the AI hiring tool responsibly. Their concerns are heightened by the fact that relevant laws vary across jurisdictions and continue to change.
The frameworks that would be most appropriate for XYZ's governance needs would be the NIST AI Risk Management Framework and:

Answer: C

Explanation:
The IEEE Ethical System Design Risk Management Framework (IEEE 7000-21) complements the NIST AI Risk Management Framework by addressing ethical considerations in AI system design, fitting XYZ Corp's governance needs for responsible AI hiring tool use.


NEW QUESTION # 87
Scenario:
A distributor operating in the EU is responsible for selling imported high-risk AI systems to businesses. The distributor wants to ensure they fulfill all applicable obligations under the EU AI Act.
All of the following are obligations of a distributor of high-risk AI systems under the EU AI Act EXCEPT?

Answer: A

Explanation:
The correct answer isC.Registration in the EU databaseis an obligation ofprovidersof high-risk AI systems- not distributors.
From the AIGP ILT Guide - Roles & Obligations Module:
"Distributors must verify CE marking, ensure instructions for use are provided, inform authorities of risks, and take corrective action when necessary. However, registration duties in the EU database lie with the provider." Also from the AI Governance in Practice Report2025:
"The AI Act differentiates responsibilities for developers, providers, importers, and distributors. Only providers of high-risk systems are obligated to register their systems in the EU AI Database." Distributors focus onverification and communication, not formal registration.


NEW QUESTION # 88
Why is it important that conformity requirements are satisfied before an AI system is released into production?

Answer: A

Explanation:
Conformity assessmentsare a core requirement under theEU AI Actfor high-risk systems and serve to confirm that the AI meetsregulatory, safety, and ethical standardsbefore it is put into production.
From theAI Governance in Practice Report2025:
"Conformity assessments... ensure that systems comply with legal requirements, safety criteria, and intended purpose before being placed on the market." (p. 34)
"They are a critical step to demonstrate safety and trustworthiness in AI deployment." (p. 35)


NEW QUESTION # 89
A company subject to GDPR is building its governance framework for how it will collect data to be used for training of AI models. The most important thing the company can do to ensure GDPR compliance is:

Answer: B

Explanation:
Minimizing the amount of personal data used in training supports GDPR's data minimization principle, reducing privacy risks and improving compliance.


NEW QUESTION # 90
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