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IAPP AIGP Practice Test Questions Answers

Exam Code: AIGP (Updated 215 Q&As with Explanation)
Exam Name: Artificial Intelligence Governance Professional
Last Update: 21-Sep-2026
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Questions Include:

  • Single Choice: 204 Q&A's
  • Multiple Choice: 11 Q&A's

  • AIGP Overview

    IAPP AIGP Exam Overview

    Category Details
    Exam Name IAPP Artificial Intelligence Governance Professional (AIGP)
    Exam Code AIGP
    Exam Duration 90 minutes
    Number of Questions 60 questions
    Question Format Multiple Choice
    Passing Score Typically 70% or above (may vary)
    Prerequisites - No formal prerequisites but knowledge of AI, data privacy, and governance practices is recommended
    Exam Topics - AI Governance Frameworks
      - AI Ethics and Accountability
      - Legal and Regulatory Considerations in AI Governance
      - Risk Management and AI Lifecycle
      - AI Policy Development and Compliance
      - Data Privacy and Security in AI
    Language English
    Exam Delivery Online (via Pearson VUE or IAPP certification portal)
    Validity 3 years (after passing, certification is valid for 3 years)

     

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    IAPP AIGP Exam Topics Breakdown

    Section Topics Covered Approximate Weight
    1. AI Governance Frameworks - Overview of AI governance models and frameworks 20-25%
      - Roles and responsibilities in AI governance  
    2. AI Ethics and Accountability - Ethical considerations in AI development 20-25%
      - Ensuring AI accountability, transparency, and fairness  
    3. Legal and Regulatory Considerations - Understanding legal and regulatory requirements in AI governance 15-20%
      - Compliance with global standards (e.g., GDPR, AI Act)  
    4. Risk Management and AI Lifecycle - Identifying and managing risks throughout the AI lifecycle 15-20%
      - Risk assessment techniques and mitigation strategies  
    5. AI Policy Development and Compliance - Creating AI policies, monitoring adherence, and enforcement 10-15%
    6. Data Privacy and Security in AI - Data protection techniques in AI projects 10-15%

     

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    IAPP AIGP Exam Dumps FAQs

    The IAPP AIGP exam assesses your knowledge and skills in governing the development, deployment, and management of AI systems responsibly and ethically. It covers core areas like AI ethics, risk management, legal and regulatory considerations, and best practices for ensuring trustworthy AI.

    There are no particular requisites for taking this exam. Only the exam candidates should have required knowledge on the content of the IAPP AIGP exam syllabus. They should also develop their hand-on exposure on the all topics.

    Key Areas Covered in the IAPP AIGP exam:

    • IAPP AIGP Exam Blueprint: The blueprint outlines the core knowledge areas and topics covered in the exam.
    • IAPP AIGP Training: Consider enrolling in the IAPP AIGP training program for comprehensive exam preparation.
    • Third-Party Resources: Explore reputable Solution2Pass or online courses offering practice tests, study guides, and additional resources aligned with the AIGP exam content.

    The format and duration of the AIGP exam might change, so consult the Solution2Pass IAPP Solution2Pass for the latest information. It's typically a computer-based exam lasting around 2.75 hours with a 15-minute break.

    IAPP typically doesn't disclose the specific passing score. Focus on understanding the core concepts of AI governance and responsible AI principles to increase your chances of success.

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    AIGP Questions and Answers

    Question # 1

    What is the technique to remove the effects of improperly used data from an ML system?

    A.

    Data cleansing.

    B.

    Model inversion.

    C.

    Data de-duplication.

    D.

    Model disgorgement.

    Question # 2

    All of the following are penalties and enforcements outlined in the EU Al Act EXCEPT?

    A.

    Fines for SMEs and startups will be proportionally capped.

    B.

    Rules on General Purpose Al will apply after 6 months as a specific provision.

    C.

    The Al Pact will act as a transitional bridge until the Regulations are fully enacted.

    D.

    Fines for violations of banned Al applications will be €35 million or 7% global annual turnover (whichever is higher).

    Question # 3

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

    A.

    To ensure the visual design is fit-for-purpose.

    B.

    To ensure the AI system is easy for end-users to operate.

    C.

    To guarantee interoperability of the AI system across multiple platforms and environments.

    D.

    To comply with legal and regulatory standards, ensuring the AI system is safe and trustworthy.

    Question # 4

    CASE STUDY

    A global marketing agency is adapting a large language model ( " LLM " ) to generate content for an upcoming marketing campaign for a client ' s new product: a hard hat designed for construction workers of any gender to better protect them from head injuries.

    The marketing agency is accessing the LLM through an application programming interface ( " API " ) developed by a third-party technology company. They want to generate text to be used for targeted advertising communications that highlight the benefits of the hard hat to potential purchasers. Both the marketing agency and the technology company have taken reasonable steps to address Al governance.

    The marketing company has:

    •           Entered into a contract with the technology company with suitable representations and warranties.

    •           Completed an impact assessment on the LLM for this intended use.

    •           Built technical guidance on how to measure and mitigate bias in the LLM.

    •           Enabled technical aspects of transparency, explainability, robustness and privacy.

    •           Followed applicable regulatory requirements.

    •           Created specific legal statements and disclosures regarding the use of the Al on its client ' s advertising.

    The technology company has:

    •           Provided guidance and resources to developers to address environmental concerns.

    •           Build technical guidance on how to measure and mitigate bias in the LLM.

    •           Provided tools and resources to measure bias specific to the LLM.

    •           Enabled technical aspects of transparency, explainability, robustness and privacy.

    •           Mapped and mitigated potential societal harms and large-scale impacts.

    •           Followed applicable regulatory requirements and industry standards.

    •           Created specific legal statements and disclosures regarding the LLM. including with respect to IP and rights to data.

    The marketing company and its tech provider have taken reasonable steps to govern the AI’s use, including legal disclosures, impact assessments, and bias mitigation. However, the company wants to takeone more stepto improve governance and reduce risks related to ongoing oversight and accountability.

    While the marketing agency took steps to mitigate its risks, the best additional step would be to:

    A.

    Negotiate an intellectual property indemnity from the technology company

    B.

    Evaluate the use of AI in the marketing industry to identify best practices

    C.

    Engage a third party to lead the procurement selection process

    D.

    Establish a governance committee to oversee the project

    Question # 5

    CASE STUDY

    Please use the following answer the next question:

    A local police department in the United States procured an Al system to monitor and analyze social media feeds, online marketplaces and other sources of public information to detect evidence of illegal activities (e.g., sale of drugs or stolen goods). The Al system works by surveilling the publicsites in order to identify individuals that are likely to have committed a crime. It cross-references the individuals against data maintained by law enforcement and then assigns a percentage score of the likelihood of criminal activity based on certain factors like previous criminal history, location, time, race and gender.

    The police department retained a third-party consultant assist in the procurement process, specifically to evaluate two finalists. Each of the vendors provided information about their system ' s accuracy rates, the diversity of their training data and how their system works. The consultant determined that the first vendor’s system has a higher accuracy rate and based on this information, recommended this vendor to the police department.

    The police department chose the first vendor and implemented its Al system. As part of the implementation, the department and consultant created a usage policy for the system, which includes training police officers on how the system works and how to incorporate it into their investigation process.

    The police department has now been using the Al system for a year. An internal review has found that every time the system scored a likelihood of criminal activity at or above 90%, the police investigation subsequently confirmed that the individual had, in fact, committed a crime. Based on these results, the police department wants to forego investigations for cases where the Al system gives a score of at least 90% and proceed directly with an arrest.

    When notifying an accused perpetrator, what additional information should a police officer provide about the use of the Al system?

    A.

    Information about the accuracy of the Al system.

    B.

    Information about how the accused can oppose the charges.

    C.

    Information about the composition of the training data of the system.

    D.

    Information about how the individual was identified by the Al system.

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