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IAPP AIGP Exam : IAPP Certified Artificial Intelligence Governance Professional

AIGP actual test
  • Exam Code: AIGP
  • Exam Name: IAPP Certified Artificial Intelligence Governance Professional
  • Updated: Oct 12, 2026
  • Q & A: 219 Questions and Answers
  • PDF Demo
  • PC Test Engine
  • Online Test Engine
  • Total Price: $59.99  

About IAPP AIGP Exam

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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 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 4
  • 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.

Reference: https://iapp.org/certify/aigp/

IAPP Certified Artificial Intelligence Governance Professional Sample Questions:

Question #1

All of the following are potential benefits of using private over public LLMs EXCEPT?

  • A. Reduction in time taken for data validation and verification.
  • B. Confirmation of security and confidentiality.
  • C. Reduction in possibility of hallucinated information.
  • D. Application for specific use cases within the enterprise.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #2

A US-based mortgage lender has purchased a chatbot. They plan to have the chatbot collect information from consumers who are interested in loans and offer the consumers 2-3 different options based on its current pricing and product offerings, which change frequently. This chatbot was initially developed and previously deployed by a Russian airline for booking flights.
The best option for the part of the process that generates the loan offers is?

  • A. Multimodal Generative AI.
  • B. Expert System.
  • C. Retrieval-Augmented Generation.
  • D. Quantum computing
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #3

Which stakeholder is responsible for lawful collection of data for the training of the foundational AI model?

  • A. The marketing agency's client.
  • B. The tech company.
  • C. The data aggregator.
  • D. The marketing agency.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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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 technology company has also addressed environmental concerns and societal harms.
Which of the following results would be considered biased outputs from this AI system EXCEPT?

  • A. The advertising text generated for female audiences focuses on color and style
  • B. The generated ads are sent to construction companies, not individual workers
  • C. The images of female workers are hyper-sexualized
  • D. The content generated for minority construction workers is insufficient
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #5

CASE STUDY
Please use the following to answer the next question:
You have recently assumed the role of AI Governance leader for a California-based medical technology company. The organization primarily serves hospitals and has recently expanded to include walk-in clinics located within local pharmacies.
The company's core business focuses on diagnostic assistance powered by a large language model LLM and back-office process optimization using Agentic AI, including chatbots, medical record request handling, scheduling and billing.
In preparation for its next round of funding, the board has asked you to prepare an AI Risk report to demonstrate to investors how the company is addressing AI-related risks. In preparing the report you learn that last year the company generated 30 million dollars in gross revenue across the US, EU, India, and South Korea and that vendors are engaged for various activities, including model testing and providing third-party AI solutions for chatbots.
Which of the following best exemplifies human oversight capabilities you should enable under the relevant AI laws?

  • A. The tool manual requires that all physicians are required to undergo specific training regarding how to interpret the AI's output, and understand its limitations.
  • B. The tool requires a medical doctor to approve a diagnosis before the diagnosis is entered into the patient's medical record.
  • C. The agentic tool that helps schedule appointments and refill prescriptions leverages Retrieval-Augmented Generation RAG to confirm there are no medication contraindications before refilling.
  • D. The company has established an AI governance team within each of its departments who are specifically required to evaluate the performance metrics, including anomalies, to ensure the AI tool is operating correctly.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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