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The dumps for AIGP exam was last updated on Dec 27,2025 .

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Question#1

After completing model testing and validation, which of the following is the most important step that an organization takes prior to deploying the model into production?

A. Perform a readiness assessment.

B. Define a model-validation methodology.

C. Document maintenance teams and processes.

D. Identify known edge cases to monitor post-deployment.

Explanation:
After completing model testing and validation, the most important step prior to deploying the model into production is to perform a readiness assessment. This assessment ensures that the model is fully prepared for deployment, addressing any potential issues related to infrastructure, performance, security, and compliance. It verifies that the model meets all necessary criteria for a successful launch. Other steps, such as defining a model-validation methodology, documenting maintenance teams and processes, and identifying known edge cases, are also important but come secondary to confirming overall readiness.
Reference: AIGP Body of Knowledge on Deployment Readiness.

Question#2

CASE STUDY
Please use the following answer the next question:
A mid-size US healthcare network has decided to develop an Al solution to detect a type of cancer that is most likely arise in adults. Specifically, the healthcare network intends to create a recognition algorithm that will perform an initial review of all imaging and then route records a radiologist for secondary review pursuant agreed-upon criteria (e.g., a confidence score below a threshold). To date, the healthcare network has taken the following steps: defined its Al ethical principles:
conducted discovery to identify the intended uses and success criteria for the system: established an Al governance committee; assembled a broad, crossfunctional team with clear roles and responsibilities; and created policies and procedures to document standards, workflows, timelines and risk thresholds during the project.
The healthcare network intends to retain a cloud provider to host the solution and a consulting firm to help develop the algorithm using the healthcare network's existing data and de-identified data that is licensed from a large US clinical research partner.
In the design phase, which of the following steps is most important in gathering the data from the clinical research partner?

A. Perform a privacy impact assessment.

B. Combine only anonymized data.

C. Segregate the data sets.

D. Review the terms of use.

Explanation:
Reviewing the terms of use is essential when gathering data from a clinical research partner. This step ensures that the healthcare network complies with all legal and contractual obligations related to data usage. It addresses data ownership, usage limitations, consent requirements, and privacy obligations, which are critical to maintaining ethical standards and avoiding legal repercussions. This review helps ensure that the data is used in a manner consistent with the agreements made and the regulatory environment, which is fundamental for lawful and ethical AI development.
Reference: AIGP Body of Knowledge on Legal and Regulatory Considerations.

Question#3

You asked a generative Al tool to recommend new restaurants to explore in Boston, Massachusetts that have a specialty Italian dish made in a traditional fashion without spinach and wine. The generative Al tool recommended five restaurants for you to visit.
After looking up the restaurants, you discovered one restaurant did not exist and two others did not have the dish.
This information provided by the generative Al tool is an example of what is commonly called?

A. Prompt injection.

B. Model collapse.

C. Hallucination.

D. Overfitting.

Explanation:
In the context of AI, particularly generative models, "hallucination" refers to the generation of outputs that are not based on the training data and are factually incorrect or non-existent. The scenario described involves the generative AI tool providing incorrect and non-existent information about restaurants, which fits the definition of hallucination.
Reference: AIGP BODY OF KNOWLEDGE and various AI literature discussing the limitations and challenges of generative AI models.

Question#4

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

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

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

C. Focusing on Al technical design and post-deployment monitoring.

D. Balancing Al innovation with ethical considerations.

Explanation:
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#5

Each of the following actors are typically engaged in the Al development life cycle EXCEPT?

A. Data architects.

B. Government regulators.

C. Socio-cultural and technical experts.

D. Legal and privacy governance experts.

Explanation:
Typically, actors involved in the AI development life cycle include data architects (who design the data frameworks), socio-cultural and technical experts (who ensure the AI system is socio-culturally aware and technically sound), and legal and privacy governance experts (who handle the legal and privacy aspects). Government regulators, while important, are not directly engaged in the development process but rather oversee and regulate the industry.
Reference: AIGP BODY OF KNOWLEDGE and AI development frameworks.

Exam Code: AIGP Q & A: 169 Q&As Updated: Dec 27,2025

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Exam Code: AIGP
Q & A: 169 Q&As
Updated: Dec 27,2025

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