IAPP AIGP Exam Questions Instant Access - No Installation Required

Question 1

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?

ARetrieval-Augmented Generation.

BMultimodal Generative AI.

CExpert System.

DQuantum computing

Answer : C

Offeringloan products based on current offerings and rulesrequires a system that can followexplicit business logic, not generate open-ended content. Anexpert system, which is a rules-based AI that uses ''if-then'' logic, is ideal here.

From the AI governance context:

''Rule-based AI systems are often preferred when decisions must adhere to precise regulatory or financial criteria.'' (aligned with AI best practices in regulated sectors)

A . RAGis used to integrate external knowledge---not suitable for structured, rule-based logic.

B . Multimodal modelshandle varied input types---not needed here.

D . Quantum computingis not yet practical or relevant for this business use case.

Question 2

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

AReduction in time taken for data validation and verification.

BConfirmation of security and confidentiality.

CReduction in possibility of hallucinated information.

DApplication for specific use cases within the enterprise.

Answer : A

Private LLMs offer advantages likecustomizability,reduced hallucination,confidentiality, andalignment with enterprise-specific tasks, but theydo not inherently reduce the time or effortneeded fordata validation or verification--- which remains an essential step regardless of model privacy.

From the AI risk and quality sections:

''Ensuring the quality of the data... is highly contextual and must be validated regardless of the model's deployment environment.'' (p. 17)

B, C, Dare legitimate benefits of private LLMs.

Ais incorrect --- validation still requires time and resources.

Question 3

The OECD's Ethical Al Governance Framework is a self-regulation model that proposes to prevent societal harms by?

AEstablishing explain ability criteria to responsibly source and use data to train Al systems.

BDefining requirements specific to each industry sector and high-risk Al domain.

CFocusing on Al technical design and post-deployment monitoring.

DBalancing Al innovation with ethical considerations.

Answer : D

The OECD's Ethical AI Governance Framework aims to ensure that AI development and deployment are carried out ethically while fostering innovation. The framework includes principles like transparency, accountability, and human rights protections to prevent societal harm. It does not focus solely on technical design or post-deployment monitoring (C), nor does it establish industry-specific requirements (B). While explainability is important, the primary goal is to balance innovation with ethical considerations (D).

Question 4

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

AFines for SMEs and startups will be proportionally capped.

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

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

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

Answer : C

The EU AI Act outlines specific penalties and enforcement mechanisms to ensure compliance with its regulations. Among these, fines for violations of banned AI applications can be as high as 35 million or 7% of the global annual turnover of the offending organization, whichever is higher. Proportional caps on fines are applied to SMEs and startups to ensure fairness. General Purpose AI rules are to apply after a 6-month period as a specific provision to ensure that stakeholders have adequate time to comply. However, there is no provision for an 'AI Pact' acting as a transitional bridge until the regulations are fully enacted, making option C the correct answer.

Question 5

Which of the following is NOT a common type of machine learning?

ADeep learning.

BCognitive learning.

CUnsupervised learning.

DReinforcement learning.

Answer : B

The common types of machine learning include supervised learning, unsupervised learning, reinforcement learning, and deep learning. Cognitive learning is not a type of machine learning; rather, it is a term often associated with the broader field of cognitive science and psychology. Reference: AIGP BODY OF KNOWLEDGE and standard AI/ML literature.

Question 6

All of the following issues are unique for proprietary AI model deployments EXCEPT?

AThe acquisition of training data.

BThe cost of AI chips.

CThe potential for bias.

DThe necessity of performing conformity assessments.

Answer : C

Biasis a common risk acrossboth proprietary and open-source models, andnot uniqueto proprietary deployments. All AI systems --- regardless of origin --- require evaluation for fairness, accuracy, and representativeness.

From theAI Governance in Practice Report 2025:

''Bias, discrimination and fairness challenges are present in both open and closed models, regardless of how the model is sourced.'' (p. 41)

Question 7

During the first month when the company monitors the model for bias, it is most important to?

AContinue disparity testing.

BProvide regular awareness training.

CAnalyze the quality of the training and testing data.

DDocument the results of final decisions made by the human underwriter.

Answer : A

Theinitial deployment phaseof an AI model is critical forpost-deployment monitoring. When tracking forbias, the most important task is tocontinue disparity testingto determine whether outputs differ across protected groups.

From theAI Governance in Practice Report 2025:

''Performance monitoring protocols... should include mechanisms to assess and measure disparities in outcomes across different demographic groups.'' (p. 12)

''Bias may not be evident during pre-deployment testing but can emerge in real-world use.'' (p. 41)

B . Awareness trainingis helpful, but not a technical bias mitigation activity.

C . Analyzing training datais apre-deploymenttask.

D . Documenting human decisionsmay support auditability but doesn't detect bias in AI outputs.

IAPP Artificial Intelligence Governance Professional AIGP Exam Questions