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IAPP AIGP Exam Syllabus Topics:

Section	Objectives
Topic 1: Regulatory and Legal Frameworks for AI	- Global AI governance regulations 1. NIST AI Risk Management Framework 2. EU AI Act principles
Topic 2: AI Lifecycle Governance Implementation	- Operational governance controls 1. Model development oversight 2. Deployment and monitoring controls
Topic 3: Foundations of AI Systems and Governance	- Governance principles and accountability 1. Responsible AI principles 2. Organizational governance roles - AI system concepts, lifecycle, and terminology 1. AI definitions and taxonomy 2. AI system lifecycle overview
Topic 4: AI Risk Management and Impact Assessment	- Risk identification and mitigation 1. Bias, fairness, and transparency risks 2. AI risk categories and classification

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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q27-Q32):

NEW QUESTION # 27
What is the key feature of Graphical Processing Units (GPUs) that makes them well-suited to running AI applications?

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

Answer: B

Explanation:
GPUs excel at parallel processing, enabling them to run many tasks concurrently, which speeds up AI computations significantly compared to CPUs.

NEW QUESTION # 28
A bank is aiming to comply with ISO/IEC 42005:2025, and is studying how to adopt the standard in light of a new AI customer service system that it would like to implement.
In addition to the risk management process the bank already has in place to assess the risks of any potential new systems, which of the following actions is the most effective in adopting the ISO/IEC 42005:2025 standard?

A. Adding AI risks to the risk register and continuing to leverage the existing risk management process.
B. Instructing AI developers to perform an AI impact assessment before development in addition to the existing risk management process.
C. Collecting information on the AI system ' s performance to document additional AI risks.
D. Defining a standalone AI impact assessment procedure to supplement the existing risk management process.

Answer: A

Explanation:
The correct answer is B because ISO/IEC 42005 emphasizes integrating AI risk management into existing enterprise risk management frameworks rather than creating siloed or duplicative processes. Effective AI governance requires embedding AI-specific risks into established governance structures such as risk registers, controls, and monitoring systems. This ensures consistency, scalability, and alignment with organizational risk practices. Options C and D introduce parallel or fragmented processes, which contradict the principle of integrated governance and may create inefficiencies or gaps. Option A focuses only on data collection and does not address governance integration. The AI Governance in Practice Report highlights that organizations should incorporate AI risks into broader enterprise risk management and maintain unified risk registers to ensure visibility, accountability, and coordinated mitigation across the organization.

NEW QUESTION # 29
CASE STUDY
Please use the following to answer the next question:
A leading insurance provider that offers a range of coverage options to individuals has decided to utilize AI to streamline and improve its customer acquisition and underwriting process, including the accuracy and efficiency of pricing policies. The company has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large language model ("LLM").
The company intends to use its historical customer data - including applications, policies and claims - and proprietary pricing and risk strategies to provide an initial qualification assessment of potential customers, which would then be routed to a human underwriter for final review.
The company and the cloud provider have completed training and testing the LLM, performed a readiness assessment, and made the decision to deploy the LLM into production. They have designated an internal compliance team to monitor the model during the first month, specifically to evaluate the accuracy, fairness and reliability of its output.
After the first month in production, the company realizes that the LLM declines a higher percentage of women's applications.
What is the best strategy to mitigate the bias uncovered in the loan applications?

A. Delete all gender-based data in the data set.
B. Retrain the model with data that reflects demographic parity.
C. Document all instances of bias in the data set.
D. Procure a third-party statistical bias assessment tool.

Answer: B

Explanation:
Retraining the model with data that reflects demographic parity helps reduce bias by balancing representation and mitigating unfair disparities in model outcomes.

NEW QUESTION # 30
Which type of existing assessment could best be leveraged to create an Al impact assessment?

A. An environmental impact assessment.
B. A safety impact assessment.
C. A security impact assessment.
D. A privacy impact assessment.

Answer: D

Explanation:
A privacy impact assessment (PIA) can be effectively leveraged to create an AI impact assessment. A PIA evaluates the potential privacy risks associated with the use of personal data and helps in implementing measures to mitigate those risks. Since AI systems often involve processing large amounts of personal data, the principles and methodologies of a PIA are highly applicable and can be extended to assess broader impacts, including ethical, social, and legal implications of AI. Reference: AIGP Body of Knowledge on Impact Assessments.

NEW QUESTION # 31
Pursuant to the White House Executive Order of November 2023, who is responsible for creating guidelines to conduct red-teaming tests of Al systems?

A. National Science and Technology Council (NSTC).
B. Department of Homeland Security (DHS).
C. Office of Science and Technology Policy (OSTP).
D. National Institute of Standards and Technology (NIST).

Answer: D

Explanation:
The White House Executive Order of November 2023 designates the National Institute of Standards and Technology (NIST) as the responsible body for creating guidelines to conduct red-teaming tests of AI systems. NIST is tasked with developing and providing standards and frameworks to ensure the security, reliability, and ethical deployment of AI systems, including conducting rigorous red-teaming exercises to identify vulnerabilities and assess risks in AI systems.
Reference: AIGP BODY OF KNOWLEDGE, sections on AI governance and regulatory frameworks, and the White House Executive Order of November 2023.

NEW QUESTION # 32
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