The Best AIGP Exam Study Material Premium Files and Preparation Tool (Jul-2026) [Q63-Q77]

The Best AIGP Exam Study Material Premium Files and Preparation Tool (Jul-2026)

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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
Related Certifications: CIPP
CIPM
CIPT
Certificate Validity Period: 2 years
Exam Duration: 165 (including 15-minute optional break)
Available Languages: English
Exam Format: Multiple-choice, Scenario-based
Exam Price: USD 649 (members) / USD 799 (non-members)
Real Exam Qty: 100
Passing Score: 300 (scaled score out of 500)
Recommended Training: Official AIGP Body of Knowledge & Study Guide
IAPP Training & Resources
Exam Registration: IAPP Official Registration
Pearson VUE Scheduling
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

 

NEW QUESTION 63
In procuring an AI system from a vendor, which of the following would be important to include in a contract to enable proper oversight and auditing of the system?

 
 
 
 

NEW QUESTION 64
Which of the following would be the least likely step for an organization to take when designing an integrated compliance strategy for responsible Al?

 
 
 
 

NEW QUESTION 65
Which of the following Al uses is best described as human-centric?

 
 
 
 

NEW QUESTION 66
The best practice to manage third-party risk associated with AI systems is to create and implement policies that:

 
 
 
 

NEW QUESTION 67
Pursuant to the White House Executive Order of November 2023, who is responsible for creating guidelines to conduct red-teaming tests of Al systems?

 
 
 
 

NEW QUESTION 68
What is the most important reason for documenting risks when developing an AI system?

 
 
 
 

NEW QUESTION 69
Why is it important that conformity requirements are satisfied before an AI system is released into production?

 
 
 
 

NEW QUESTION 70
Scenario:
An organization is developing a powerful general-purpose AI (GPAI) model that has systemic impact. The compliance team is assessing what legal obligations apply under the EU AI Act.
Under the EU AI Act, which of the following compliance actions appliesonly to General Purpose AI models with systemic risk?

 
 
 
 

NEW QUESTION 71
Which of the following best defines an “AI model”?

 
 
 
 

NEW QUESTION 72
What is the primary reason the EU is considering updates to its Product Liability Directive?

 
 
 
 

NEW QUESTION 73
All of the following may be copyright risks from teachers using generative AI to create course content EXCEPT?

 
 
 
 

NEW QUESTION 74
During the first month when the company monitors the model for bias, it is most important to?

 
 
 
 

NEW QUESTION 75
Scenario:
A European AI technology company was found to be non-compliant with certain provisions of the EU AI Act.
The regulator is considering penalties under the enforcement provisions of the regulation.
According to the EU AI Act, which of the following non-compliance examples could lead to fines of up to €
15 million or 3% of annual worldwide turnover (whichever is higher)?

 
 
 
 

NEW QUESTION 76
CASE STUDY
Please use the following 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.
Address these concerns, the company is considering using a third-party Al tool to screen resumes and assist with hiring. They have been talking to several vendors about possibly obtaining a third-party Al-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 are responsible for integrating and deploying technology solutions into the organization’s operations in a responsible, cost-effective manner.
The organization is aware of the risks presented by Al hiring tools and wants to mitigate them. It also questions how best to organize and train its existing personnel to use the Al 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 Al Risk Management Framework and?

 
 
 
 

NEW QUESTION 77
According to the Singapore Model Al Governance Framework, all of the following are recommended measures to promote the responsible use of Al EXCEPT?

 
 
 
 

IAPP AIGP Exam Syllabus Topics:

Topic Details
Topic 1
  • 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.
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 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.

 

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[UPDATED] IAPP AIGP Certification Exam Questions [Q44-Q68]

[UPDATED] IAPP AIGP Certification Exam Questions

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IAPP AIGP Exam Syllabus Topics:

Topic Details
Topic 1
  • Understanding the Foundations of Artificial Intelligence: This topic defines AI and machine learning. It also provides an overview of the different types of AI systems and their use cases.
Topic 2
  • Understanding How Current Laws Apply to AI Systems: It focuses on laws that govern the use of artificial intelligence.
Topic 3
  • Understanding the AI Development Life Cycle: The topic outlines the context in which AI risks are managed.
Topic 4
  • Understanding the Existing and Emerging AI Laws and Standards: This topic discusses global AI-specific laws such as the EU AI Act and Canada’s Bill C-27.

 

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