IAPP AIGP Dumps - 100% Cover Real Exam Questions (Updated 204 Questions)
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NEW QUESTION # 115
In the context of AI governance, which of the following best describes the roles and responsibilities of a developer of a proprietary model? (Choose three.)
- A. Primary responsibility for ethical design.
- B. Joint responsibility for technical performance.
- C. Primary responsibility for ethical testing.
- D. Joint responsibility for record keeping.
- E. Primary responsibility for regulatory compliance.
Answer: A,C,E
NEW QUESTION # 116
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. Department of Homeland Security (DHS).
- B. National Institute of Standards and Technology (NIST).
- C. Office of Science and Technology Policy (OSTP).
- D. National Science and Technology Council (NSTC).
Answer: B
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 # 117
CASE STUDY
Please use the following answer the next question:
ABC Corp, is a leading insurance provider offering a range of coverage options to individuals. ABC has decided to utilize artificial intelligence to streamline and improve its customer acquisition and underwriting process, including the accuracy and efficiency of pricing policies.
ABC has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large language model ("LLM"). In particular, ABC 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 a human underwriter for final review.
ABC 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. ABC has 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, ABC realizes that the LLM declines a higher percentage of women's loan applications due primarily to women historically receiving lower salaries than men.
Which of the following is the most important reason to train the underwriters on the model prior to deployment?
- A. Toprovide a reminder of a right appeal.
- B. Toensure they provide transparency applicants on the model.
- C. Tosolicit on-going feedback on model performance.
- D. Toapply their own judgment to the initial assessment.
Answer: D
Explanation:
Training underwriters on the model prior to deployment is crucial so they can apply their own judgment to the initial assessment. While AI models can streamline the process, human judgment is still essential to catch nuances that the model might miss or to account for any biases or errors in the model's decision-making process.
Reference: The AIGP Body of Knowledge emphasizes the importance of human oversight in AI systems, particularly in high-stakes areas such as underwriting and loan approvals. Human underwriters can provide a critical review and ensure that the model's assessments are accurate and fair, integrating their expertise and understanding of complex cases.
NEW QUESTION # 118
What is the primary objective of continuous monitoring in the lifecycle of an AI tool?
- A. To periodically upgrade the AI tool's computational resources to maintain processing efficiency.
- B. To restrict the AI tool from accessing external data sources to maintain data privacy.
- C. To track and adjust the tool's performance in order to ensure that it meets its goals.
- D. To ensure that the AI tool's algorithm evolves independently to adapt to new data without human intervention.
Answer: C
Explanation:
Continuous monitoring aims to track and adjust the AI tool's performance over time to ensure it consistently meets intended goals and operates effectively.
NEW QUESTION # 119
CASE STUDY
Please use the following answer the next question:
XYZ Corp., a premier payroll services company that employs thousands of people globally, is embarking on a new hiring campaign and wants to implement policies and procedures to identify and retain the best talent. The new talent will help the company's product team expand its payroll offerings to companies in the healthcare and transportation sectors, including in Asia.
It has become time consuming and expensive for HR to review all resumes, and they are concerned that human reviewers might be susceptible to bias.
Address these concerns, the company is considering using a third-party Al tool to screen resumes and assist with hiring. They have been talking to several vendors about possibly obtaining a third-party Al-enabled hiring solution, as long as it would achieve its goals and comply with all applicable laws.
The organization has a large procurement team that is responsible for the contracting of technology solutions.
One of the procurement team's goals is to reduce costs, and it often prefers lower-cost solutions. Others within the company are responsible for integrating and deploying technology solutions into the organization's operations in a responsible, cost-effective manner.
The organization is aware of the risks presented by Al hiring tools and wants to mitigate them. It also questions how best to organize and train its existing personnel to use the Al hiring tool responsibly. Their concerns are heightened by the fact that relevant laws vary across jurisdictions and continue to change.
All of the following are potential negative consequences created by using the Al tool when making hiring decisions EXCEPT?
- A. Civil rights violations.
- B. Discriminatory treatment.
- C. Intellectual property infringement.
- D. Reputational harm.
Answer: C
Explanation:
The potential negative consequences of using an AI tool in hiring include reputational harm (A), civil rights violations (B), and discriminatory treatment (C). These issues stem from biases in the AI system or its misuse, which can lead to unfair hiring practices and legal liabilities. Intellectual property infringement (D) is not a typical consequence of using AI in hiring, as it relates to the unauthorized use of protected intellectual property, which is not directly relevant to the hiring process or the potential biases within AI tools.
NEW QUESTION # 120
Scenario:
An enterprise is evaluating multiple third-party generative AI tools to integrate into its platform. As part of its AI governance policy, it is assessing the most effective methods to reduce risks related to bias, data misuse, and liability when using third-party solutions.
All of the following are commonly adopted processes and policies in reducing potential risks introduced by third-party AI tools or applications EXCEPT:
- A. Allowing publicly available information and personally identifiable information (PII) to be incorporated into the prompt
- B. Including clauses in the procurement agreement for buyers of generative AI tools to put certain liabilities on the tool supplier
- C. Requiring new use cases of the generative AI tools or applications to be reviewed and approved by the generative AI governance body
- D. Requiring an independent third-party bias audit for third-party generative AI tools
Answer: A
Explanation:
The correct answer is B. Allowing PII to be freely entered into prompts without safeguards is considered a major privacy and security risk and is not a responsible governance practice.
From the AIGP ILT Guide - Generative AI & Third-Party Risk Management:
"Use of personal or sensitive information in AI prompts can result in unintended exposure, regulatory breaches, and downstream liability." The AI Governance in Practice Report 2024 highlights:
"PII should be minimized or protected by design. Prompt engineering should prevent entry of personally identifiable data unless legally and technically safeguarded." A, C, and D are established best practices under responsible AI procurement and use.
NEW QUESTION # 121
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.
Each of the following steps would support fairness testing by the compliance team during the first month in production EXCEPT:
- A. Identifying if additional training data should be collected for specific demographic groups.
- B. Validating a similar level of decision-making across different demographic groups.
- C. Providing the applicants with information about the model capabilities and limitations.
- D. Using tools to help understand factors that may account for differences in decision-making.
Answer: C
Explanation:
Providing applicants with information about model capabilities is important for transparency but does not directly support fairness testing, which focuses on evaluating and mitigating bias in decision-making.
NEW QUESTION # 122
What is the technique to remove the effects of improperly used data from an ML system?
- A. Model inversion.
- B. Model disgorgement.
- C. Data de-duplication.
- D. Data cleansing.
Answer: B
Explanation:
Model disgorgement is the technique used to remove the influence of improperly used or problematic data from a trained machine learning model.
NEW QUESTION # 123
Which of the following would be the least likely step for an organization to take when designing an integrated compliance strategy for responsible Al?
- A. Launching a survey to understand the concerns and interests of potentially impacted stakeholders.
- B. Employing a new software platform to modernize existing compliance processes across the organization.
- C. Conducting an assessment of existing compliance programs to determine overlaps and integration points.
- D. Consulting experts to consider the ethical principles underpinning the use of Al within the organization.
Answer: B
Explanation:
When designing an integrated compliance strategy for responsible AI, the least likely step would be employing a new software platform to modernize existing compliance processes. While modernizing compliance processes is beneficial, it is not as directly related to the strategic integration of ethical principles and stakeholder concerns. More critical steps include conducting assessments of existing compliance programs to identify overlaps and integration points, consulting experts on ethical principles, and launching surveys to understand stakeholder concerns. These steps ensure that the compliance strategy is comprehensive and aligned with responsible AI principles. Reference: AIGP Body of Knowledge on AI Governance and Compliance Integration.
NEW QUESTION # 124
You are a privacy program manager at a large e-commerce company that uses an AI tool to deliver personalized product recommendations based on visitors' personal information that has been collected from the company website, the chatbot and public data the company has scraped from social media.
A user submits a data access request under an applicable US state privacy law, specifically seeking a copy of their personal data, including information used to create their profile for product recommendations.
What is the most challenging aspect of managing this request?
- A. Some of the visitor's data is synthetic data that the company does not have to provide to the data subject.
- B. The data subject's data is structured data that can be searched, compiled and reviewed only by an automated tool.
- C. The data subject is not entitled to receive a copy of their data because some of it was scraped from public sources.
- D. Some of the data subject's data is unstructured data and you cannot untangle it from the other data, including information about other individuals.
Answer: D
Explanation:
Unstructured data that cannot be easily separated from information about other individuals makes fulfilling the data access request complex while ensuring privacy for others.
NEW QUESTION # 125
You are an engineer that developed an Al-based ad recommendation tool.
Which of the following should be monitored to evaluate the tool's effectiveness?
- A. GPU performance, to evaluate the tool's robustness.
- B. Algorithmic patterns, to show the model has a high degree of accuracy.
- C. Input data, to ensure the ads are reaching the target audience.
- D. Output data, assess the delta between the prediction and actual ad clicks.
Answer: D
Explanation:
To evaluate the effectiveness of an AI-based ad recommendation tool, the most relevant metric is the output data, specifically assessing the delta between the prediction and actual ad clicks. This metric directly measures the tool's accuracy and effectiveness in making accurate recommendations that lead to user engagement. While monitoring algorithmic patterns and input data can provide insights into the model's behavior and targeting accuracy, and GPU performance can indicate the robustness and efficiency of the tool, the primary indicator of effectiveness for an ad recommendation tool is how well it predicts actual ad clicks.
Reference: AIGP BODY OF KNOWLEDGE, sections on AI performance metrics and evaluation methods.
NEW QUESTION # 126
According to the EU AI Act, which of the following non-compliance examples could lead to fines of up to €15 million or three percent of their annual total worldwide turnover in the preceding financial year (whichever is higher)?
- A. In case of the supply of misleading information to notified bodies in reply to a request.
- B. In case of a breach of AI Act prohibition by the Union institutions, bodies, offices and agencies.
- C. In case of AI Act prohibitions.
- D. In case of breach of a provider's obligations for high risk AI systems.
Answer: D
Explanation:
The EU AI Act sets the €15 million / 3% of global turnover penalty tier for breaches of provider obligations for high-risk AI systems, such as failing to implement required risk management, data governance, monitoring, or documentation controls.
NEW QUESTION # 127
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 # 128
CASE STUDY
Please use the following answer the next question:
ABC Corp, is a leading insurance provider offering a range of coverage options to individuals. ABC has decided to utilize artificial intelligence to streamline and improve its customer acquisition and underwriting process, including the accuracy and efficiency of pricing policies.
ABC has engaged a cloud provider to utilize and fine-tune its pre-trained, general purpose large language model ("LLM"). In particular, ABC 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 tA. human underwriter for final review.
ABC 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. ABC has 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, ABC realizes that the LLM declines a higher percentage of women's loan applications due primarily to women historically receiving lower salaries than men.
The best approach to enable a customer who wants information on the Al model's parameters for underwriting purposes is to provide?
- A. A transparency notice.
- B. An opt-out mechanism.
- C. Customer service support.
- D. Detailed terms of service.
Answer: A
Explanation:
The best approach to enable a customer who wants information on the AI model's parameters for underwriting purposes is to provide a transparency notice. This notice should explain the nature of the AI system, how it uses customer data, and the decision-making process it follows. Providing a transparency notice is crucial for maintaining trust and compliance with regulatory requirements regarding the transparency and accountability of AI systems.
Reference: According to the AIGP Body of Knowledge, transparency in AI systems is essential to ensure that stakeholders, including customers, understand how their data is being used and how decisions are made. This aligns with ethical principles of AI governance, ensuring that customers are informed and can make knowledgeable decisions regarding their interactions with AI systems.
NEW QUESTION # 129
A hospital implements an AI system to assist doctors in diagnosing diseases based on historical patient data. Which one of the following model types best describes this system?
- A. Inference.
- B. Statistical.
- C. Probabilistic.
- D. Deterministic.
Answer: C
Explanation:
The AI system uses historical patient data to assess probabilities and uncertainties in diagnosing diseases, which aligns with a probabilistic model.
NEW QUESTION # 130
To assist its internal recruiters with filtering job applications, a company decides to develop in- house an AI model for the screening and ranking of job applicants' resumes. Which of the following is a unique issue this company might face compared to using a third-party AI service?
- A. The company needs to invest in technical expertise to deploy and maintain its AI model.
- B. The company has less control over the decisions made by its AI model.
- C. The company is solely responsible for compliance with relevant regulations and standards of its AI model.
- D. The company needs to spend more money to deploy and maintain its AI model.
Answer: C
Explanation:
When developing an AI model in-house, the company bears sole responsibility for ensuring compliance with relevant regulations and standards, unlike when using third-party services where some responsibility may be shared.
NEW QUESTION # 131
Scenario:
Business A provides grammar and writing assistance tools and licenses a generative AI model from Business B to enhance its offerings. Business A is concerned that the AI model might produce inappropriate or toxic content and wants to implement governance processes to prevent this.
Which of the following governance processes should Business A take tobest protect its usersagainst potentially inappropriate text?
- A. Business A should establish a user reporting feature that allows users to flag toxic or obscene text, and report any incidents to Business B
- B. Business A should ask Business B for detailed documentation on the generative AI model's training data and whether it contained toxic or obscene sources
- C. Business A should test that the AI model performs as expected and meets their minimum requirements for filtering toxic or obscene text
- D. Business A should fine-tune the AI model on user-generated text that has been verified to be appropriate
Answer: C
Explanation:
The correct answer isB. According to responsible AI practices,pre-deployment testingto ensurethe model behaves as expected and aligns with organizational requirements is critical.
From the AIGP ILT Guide:
"Testing for unacceptable outcomes such as toxicity, discrimination, or hallucinations should be included in the AI governance life cycle, particularly during development and prior to deployment." Also emphasized in the AI Governance in Practice Report2025:
"Organizations must verify legal and regulatory compliance, monitor performance, and mitigate risksprior to deployment." Testing the model tomeet safety and appropriateness standardsis more proactive and preventive than relying solely on user reporting or requesting documentation.
NEW QUESTION # 132
Scenario:
An organization is building a compliance program to ensure responsible AI deployment. It aims to align operations with AI risk frameworks and mitigate legal, ethical, and operational risks, while still promoting innovation.
Which of the following would be theleast likelystep for an organization to take when designing an integrated compliance strategy for responsible AI?
- A. Meeting with and obtaining approval from senior management
- B. Launching a survey to understand the concerns and interests of potentially impacted stakeholders
- C. Employing a new software platform to modernize existing compliance processes across the organization
- D. Consulting experts to consider the ethical principles underpinning the use of AI within the organization
Answer: C
Explanation:
The correct answer isD. While modernization through software may support efficiency, it isnot a foundational or essential componentof designing an integrated strategy.
From the AI Governance in Practice Report2025:
"Integrated strategies rely on senior management support, ethical reviews, and stakeholder engagement... The use of tools and platforms may come later as an operational enhancement." Also confirmed in AIGP Body of Knowledge:
"Key components of a governance framework include leadership buy-in, ethical analysis, and stakeholder input. Tools are supporting elements-not strategic drivers."
NEW QUESTION # 133
All of the following are obligations of a distributor of high risk systems under the EU AI Act EXCEPT:
- A. Verification of CE marking.
- B. Communication with national authorities.
- C. Registration in EU Database.
- D. Corrective actions.
Answer: C
Explanation:
Registration in the EU database is an obligation of the provider, not the distributor. Distributors handle CE-mark verification, corrective actions, and communication with authorities, but they do not register high-risk systems in the EU database.
NEW QUESTION # 134
What is the most significant risk of deploying an AI model that can create realistic images and videos?
- A. Security breaches.
- B. Output cannot be protected.
- C. Downstream harms.
- D. Copyright infringement.
Answer: C
Explanation:
The greatest risk from AI systems generatingrealistic synthetic mediaisdownstream harm, such asdeepfakes, misinformation, reputational damage, and erosion of trust.
From theAI Governance in Practice Report2025:
"With generative AI, downstream harms such as deception, reputational damage, misinformation, and manipulation can emerge even if original use was lawful." (p. 55-56)
NEW QUESTION # 135
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