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IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q82-Q87):

NEW QUESTION # 82
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.
During the first month when the company monitors the model for bias, it is most important to:

A. Continue disparity testing.
B. Analyze the quality of the training and testing data.
C. Document the results of final decisions made by the human underwriter.
D. Provide regular awareness training.

Answer: A

Explanation:
During initial production monitoring, the most important action is to continue disparity testing to detect and quantify whether the model is producing biased outcomes across protected groups.
This directly aligns with the goal of evaluating fairness, accuracy, and reliability, enabling the organization to identify and respond to discriminatory patterns early.

NEW QUESTION # 83
MULTI-SELECT
Please select 3 of the 5 options below. No partial credit will be given.
What are the roles and responsibilities of deployers of a proprietary model?

A. Regulatory compliance.
B. System documentation.
C. Ethical design.
D. Technical performance.
E. Ethical testing.

Answer: A,D,E

Explanation:
Deployers of proprietary models arenot responsible for design, but they are accountable for how the system performsin their context of use, including ensuring ethical behavior, performance, and legal compliance.
From theAI Governance in Practice Report 2024:
"Deployers of AI systems must take reasonable steps to ensure that systems are used ethically, perform safely, and align with applicable laws and standards." (p. 11-12)
"Operational governance... includes performance monitoring protocols, incident management plans, and regulatory oversight." (p. 12) Thus:
* #A. Ethical testing- Required to mitigate misuse and unintended harms.
* #B. Ethical design- Belongs todevelopers/providers, not deployers.
* #C. Technical performance- Deployers must ensure that AI performs as expected.
* #D. System documentation- This is theprovider'sobligation.
* #E. Regulatory compliance- Deployers must ensure system use complies with applicable laws.

NEW QUESTION # 84
A Canadian company is developing an AI solution to evaluate candidates in the course of job interviews. Before offering the AI solution in the EU market, the company must take all of the following steps EXCEPT:

A. Engage a third-party auditor to perform a bias audit.
B. Draw up technical documentation and instructions for use.
C. Establish a risk and quality management system.
D. Register the AI solution in a public EU database.

Answer: A

Explanation:
While bias audits are important, the EU AI Act does not mandate engaging a third-party auditor; registration, risk management systems, and technical documentation are required.

NEW QUESTION # 85
After initially deploying a third-party AI model, you learn the developer has released a new version. As deployer of this third-party model, what should you do?

A. Audit the model.
B. Retrain the model.
C. Communicate necessary updates to your users.
D. Seek input from data scientists.

Answer: A

Explanation:
When a third-party developer releases a new model version, the deployer must first audit the updated model to determine whether the changes introduce new risks, alter performance, or affect compliance obligations before considering deployment or communicating updates.

NEW QUESTION # 86
A UK company has designed a facial recognition model to support border control.
The EU AI Act would apply to the model in all of the following situations EXCEPT if?

A. The model is deployed at UK border checkpoints.
B. The model is deployed at an EU border checkpoint.
C. The model was trained by an EU company.
D. The model was released under an open source license.

Answer: A

Explanation:
TheEU AI Actapplies extraterritorially, meaning it affects entitiesoutside the EUwhen their AI systemsimpact individuals within the EU. However, it doesnotapply to systems that are developed, sold, or usedentirely outside of the EU-such as in theUK, unless they affect the EU market or individuals.
From theAI Governance in Practice Report2025:
"The act imposes regulatory obligations... depending on their capabilities, reach and computing power, certain GPAI systems are considered to present systemic risk and attract broadly similar obligations to those applicable to high-risk AI systems." (p. 7)
"The EU AI Act is the world's first comprehensive AI regulation... requirements apply to providers, deployers, importers, and distributors of AI systems when such systems are placed on the EU market." (p. 7-8) Thus:
* A. Open source releasedoes not exclude applicability if deployed in the EU.
* B. Deployment at an EU borderclearly invokes jurisdiction.
* D. Training by an EU companycreates jurisdictional links.
* C. Deployment only at UK checkpoints, withno EU use or impact, isoutside scope.

NEW QUESTION # 87
......

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Josh Wilson Josh Wilson

Biography

Unparalleled AIGP Dump - Pass AIGP Exam

AIGP Exam Cram | AIGP Valid Test Guide

IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q82-Q87):

IAPP AIGP IAPP Certified Artificial Intelligence Governance Professional Questions - With 25% Discount Offer [2026]

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