AIGP Exam Questions 2026 – Real Practice Test with Verified Answers

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The practice questions for AIGP exam was last updated on 2026-05-25 .

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Question#1

Scenario:
A large multinational organization is rolling out a company-wide AI governance initiative. To build awareness and support adoption, they are evaluating different ways to train employees and stakeholders across departments, including legal, technical, marketing, and customer-facing roles.
Which of the following typical approaches is a large organization least likely to use to responsibly train stakeholders on AI terminology, strategy and governance?

A. Providing all technical employees education on AI development so they can retool and participate in the development of AI systems
B. Providing training on AI ethics, based on the extent to which the organization seeks to promote a responsible AI culture
C. Providing role-specific training, based on whether the organization uses a centralized, federated or decentralized governance model
D. Providing information and education to customers and users to understand the capabilities and limitations of the AI tools with which they interact

Explanation:
The correct answer is A. While educating technical staff is important, expecting all technical employees to be retooled as AI developers is unrealistic and not aligned with scalable governance practices.
From the AIGP ILT Guide:
"Training approaches should berole-specificand align with the individual's function and responsibilities... Organizations typically do not expect every technical role to participate in model development."
The AI Governance in Practice Report 2025 supports tailored approaches:
“Cross-functional training should be specific to the individual's role and exposure to AI risk... Role-based education supports scalability and comprehension.”
Thus, broad development training for all technical employees is the least practical and least likely approach.

Question#2

CASE STUDY
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 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 deploy 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.
All of the following are potential negative consequences created by using the AI tool to help make hiring decisions EXCEPT?

A. Automation bias
B. Candidate quality
C. Privacy violations
D. Disparate impacts

Explanation:
The correct answer is B. "Candidate quality" is not a negative consequence of using AI―rather, it is the intended benefit of using such tools (e.g., more efficient filtering of strong candidates).
From the AIGP ILT Guide:
“Automation bias, disparate impact, and privacy risks are well-documented concerns in AI-assisted hiring. These risks may arise when AI models replicate biases present in training data or obscure the decision logic.”
AI Governance in Practice Report 2025 (Bias and Fairness Section) also warns:
“Improper AI use in hiring can lead to disparate impact, where neutral criteria disproportionately disadvantage protected groups.”
Candidate quality is a goal, not a risk, making B the correct answer for what is not a negative outcome.

Question#3

A company developed Al technology that can analyze text, video, images and sound to tag content, including the names of animals, humans and objects.
What type of Al is this technology classified as?

A. Deductive inference.
B. Multi-modal model.
C. Transformative Al.
D. Expert system.

Explanation:
A multi-modal model is an AI system that can process and analyze multiple types of data, such as text, video, images, and sound. This type of AI integrates different data sources to enhance its understanding and decision-making capabilities. In the given scenario, the AI technology that tags content including names of animals, humans, and objects falls under this category.
Reference: AIGP BODY OF KNOWLEDGE, which outlines the capabilities and use cases of multi-modal models.

Question#4

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.
Which of the following measures should XYZ adopt to best mitigate its risk of reputational harm from using the Al tool?

A. Test the Al tool pre- and post-deployment.
B. Ensure the vendor assumes responsibility for all damages.
C. Direct the procurement team to select the most economical Al tool.
D. Continue to require XYZ's hiring personnel to manually screen all applicants.

Explanation:
To mitigate the risk of reputational harm from using an AI hiring tool, XYZ Corp should rigorously test the AI tool both before and after deployment. Pre-deployment testing ensures the tool works correctly and does not introduce bias or other issues. Post-deployment testing ensures the tool continues to operate as intended and adapts to any changes in data or usage patterns. This approach helps to identify and address potential issues proactively, thereby reducing the risk of reputational harm. Ensuring the vendor assumes responsibility for damages (B) does not address the root cause of potential issues, selecting the most economical tool (C) may compromise quality, and continuing manual screening (D) defeats the purpose of using the AI tool.

Question#5

Which of the following is an obligation of an importer of high-risk AI systems under the EU AI Act?

A. Provide technical documentation.
B. Affix the CE marking.
C. Verify the Declaration of Conformity.
D. Conduct a data protection impact assessment.

Explanation:
Importers of high-risk AI systems into the EU have specific responsibilities under the EU AI Act. They are not the parties responsible for affixing the CE marking or providing technical documentation ― but they must verify that these have been done by the provider.
From the AI Governance in Practice Report 2025:
“Importers must verify that the appropriate conformity assessment has been carried out, the technical documentation is available, and the CE marking has been affixed.” (p. 34C35)
Thus:
A. Provide technical documentation C done by the provider.
B. Affix the CE marking C provider's responsibility.
C. Verify the Declaration of Conformity C importer obligation.
D. Conduct a DPIA C relevant under data protection laws, not required under the EU AI Act for importers.

Disclaimer

This page is for educational and exam preparation reference only. It is not affiliated with IAPP, Artificial Intelligence Governance, or the official exam provider. Candidates should refer to official documentation and training for authoritative information.

Exam Code: AIGPQ & A:  199  Q&As Updated:  2026-05-25

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