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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 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 3	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 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.

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q64-Q69):

NEW QUESTION # 64
A shipping service based in the US is looking to expand its operations into the EU. It utilizes an in-house developed multimodal AI model that analyzes all personal data collected from shipping senders and recipients, and optimizes shipping routes and schedules based on this data.
As they expand into the EU, all of the following descriptions should be included in the technical documentation for their AI model EXCEPT?

A. A general description of the AI system.
B. A detailed description of the elements of the AI system and of the process for its development.
C. A description of the prioritization of the risks of deployment of the AI system.
D. A description of the appropriateness of the performance metrics for the specific AI system.

Answer: C

Explanation:
The EU AI Act outlines what must be included intechnical documentationfor high-risk systems. These requirements are designed to supportconformity assessment, transparency, and traceability.
From theAI Governance in Practice Report2025:
"It mandates drawing up technical documentation... must include a general description of the AI system, the intended purpose, and a detailed description of the elements and development process." (p. 34)
"Documentation... includes training, testing, evaluation procedures, andappropriateness of performance metrics." (p. 34-35) Therisk management systemis addressed separately through arisk management plan, not within the technical documentation itself.
Thus:
* A, C, and Dare explicitly required in thetechnical documentation.
* B, while important, is part of therisk management process, not a required section oftechnical documentation.

NEW QUESTION # 65
Which of the following is an obligation of an importer of high-risk AI systems under the EU AI Act?

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

Answer: C

Explanation:
Importers of high-risk AI systems into the EU havespecific responsibilitiesunder the EU AI Act. They arenot 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 theAI Governance in Practice Report 2024:
"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. 34-35) Thus:
* A. Provide technical documentation- done by theprovider.
* B. Affix the CE marking-provider'sresponsibility.
* C. Verify the Declaration of Conformity-importer obligation.
* D. Conduct a DPIA- relevant under data protection laws,not requiredunder the EU AI Act for importers.

NEW QUESTION # 66
WonderTemp, a temporary staffing company, terminated most of its employees after implementing a virtual assistant to help write emails, policies and marketing materials, and answer client questions. Three months later, WonderTemp learns that four of its biggest clients are not renewing their contracts because the work product from WonderTemp is full of inaccuracies. Based on these facts, what type(s) of harm has WonderTemp suffered as a result of their reliance on the virtual assistant?

A. Legal and regulatory harm.
B. Economic and reputational harm.
C. Disinformation and reportable harm.
D. Individual and societal harm.

Answer: B

NEW QUESTION # 67
What is the key feature of Graphical Processing Units (GPUs) that makes them well-suited to running Al applications?

A. GPUs can access memory quickly, resulting in lower latency than CPUs.
B. GPUs can run every task on a computer, making them more robust than CPUs.
C. The number of transistors on GPUs doubles every two years, making thechips smaller and lighter.
D. GPUs run many tasks concurrently, resulting in faster processing.

Answer: D

Explanation:
GPUs (Graphical Processing Units) are well-suited to running AI applications due to their ability to run many tasks concurrently, which significantly enhances processing speed. This parallel processing capability makes GPUs ideal for handling the large-scale computations required in AI and deep learning tasks. Reference: AIGP BODY OF KNOWLEDGE, which explains the importance of compute infrastructure in AI applications.

NEW QUESTION # 68
The framework set forth in the White House Blueprint for an AI Bill of Rights addresses all of the following EXCEPT:

A. Data privacy.
B. Human alternatives, consideration and fallback.
C. High-risk mitigation standards.
D. Safe and effective systems.

Answer: C

Explanation:
The White House's Blueprint for an AI Bill of Rights outlines five key principles to guide the design, use, and deployment of automated systems:
1. Safe and Effective Systems
2. Algorithmic Discrimination Protections
3. Data Privacy
4. Notice and Explanation
5. Human Alternatives, Consideration, and Fallback
It does not specifically include "High-risk mitigation standards" as a standalone principle. While the Blueprint emphasizes the importance of identifying and mitigating risks associated with automated systems, it does not explicitly label this as a separate principle.

NEW QUESTION # 69
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