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Pass Guaranteed 2026 AIGP: IAPP Certified Artificial Intelligence Governance Professional Unparalleled Exam Vce Format

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Our IAPP Certified Artificial Intelligence Governance Professional (AIGP) practice exam simulator mirrors the IAPP Certified Artificial Intelligence Governance Professional (AIGP) exam experience, so you know what to anticipate on IAPP Certified Artificial Intelligence Governance Professional (AIGP) certification exam day. Our IAPP Certified Artificial Intelligence Governance Professional (AIGP) practice test software features various question styles and levels, so you can customize your IAPP AIGP exam questions preparation to meet your needs.

IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q151-Q156):

NEW QUESTION # 151
Which model is best for efficiency and agility, and tailored for lower-resource settings?

A. Generative language model.
B. Supervised learning model.
C. Small language model.
D. Multimodal model.

Answer: C

Explanation:
Small language models (SLMs)arelightweight, requireless compute, and arebetter suited to low-resource or edge environments, making them ideal for agility and efficiency.
From general AI best practices:
"SLMs can be deployed in environments with limited computing power, ensuring lower cost and faster integration in constrained contexts." (aligned with industry-wide AI deployment strategies)

NEW QUESTION # 152
Which of the following use cases would be best served by a non-AI solution?

A. A non-profit wants to develop a social media presence.
OB. An e-commerce provider wants to make personalized recommendations.
B. A customer service agency wants automate answers to common questions.
C. A business analyst wants to forecast future cost overruns and underruns.

Answer: A

Explanation:
Developing a social media presence for a non-profit is best served by non-AI solutions. This task primarily involves content creation, community engagement, and strategic planning, which are effectively managed by human expertise and traditional marketing tools. AI is more suitable for tasks requiring automation, large-scale data analysis, and personalized recommendations, such as e-commerce personalization, forecasting cost overruns, or automating customer service responses. Reference: AIGP Body of Knowledge on AI Use Cases and Applications.

NEW QUESTION # 153
An Al system that maintains its level of performance within defined acceptable limits despite real world or adversarial conditions would be described as?

A. Reliable.
B. Robust.
C. Reinforced.
D. Resilient.

Answer: D

Explanation:
An AI system that maintains its level of performance within defined acceptable limits despite real-world or adversarial conditions is described as resilient. Resilience in AI refers to the system's ability to withstand and recover from unexpected challenges, such as cyber-attacks, hardware failures, or unusual input data. This characteristic ensures that the AI system can continue to function effectively and reliably in various conditions, maintaining performance and integrity. Robustness, on the other hand, focuses on the system's strength against errors, while reliability ensures consistent performance over time. Resilience combines these aspects with the capacity to adapt and recover.

NEW QUESTION # 154
Scenario:
A distributor operating in the EU is responsible for selling imported high-risk AI systems to businesses. The distributor wants to ensure they fulfill all applicable obligations under the EU AI Act.
All of the following are obligations of a distributor of high-risk AI systems under the EU AI Act EXCEPT?

A. Verification of CE marking
B. Communication with national authorities
C. Corrective actions
D. Registration in EU Database

Answer: D

Explanation:
The correct answer is C. Registration in the EU database is an obligation of providers of high-risk AI systems-not distributors.
From the AIGP ILT Guide - Roles & Obligations Module:
"Distributors must verify CE marking, ensure instructions for use are provided, inform authorities of risks, and take corrective action when necessary. However, registration duties in the EU database lie with the provider." Also from the AI Governance in Practice Report 2024:
"The AI Act differentiates responsibilities for developers, providers, importers, and distributors. Only providers of high-risk systems are obligated to register their systems in the EU AI Database." Distributors focus on verification and communication, not formal registration.

NEW QUESTION # 155
Scenario:
A company using AI for resume screening understands the risks of algorithmic bias and the evolving legal requirements across jurisdictions. It wants to implement the right governance controls to prevent reputational damage from misuse of the AI hiring tool.
Which of the following measures should the company adopt to best mitigate its risk of reputational harm from using the AI tool?

A. Require the procurement and deployment teams to agree upon the AI tool
B. Ensure the vendor provides indemnification for the AI tool
C. Continue to require the company's hiring personnel to manually screen all applicants
D. Test the AI tool pre- and post-deployment

Answer: D

Explanation:
The correct answer is A. Pre- and post-deployment testing ensures bias, accuracy, and fairness are evaluated and corrected as needed, which is essential for reputational risk mitigation.
From the AIGP Body of Knowledge:
"Testing AI systems before and after deployment is critical to ensure performance, fairness, and compliance.
Failing to do so may result in reputational damage and legal exposure." AI Governance in Practice Report 2024 (Bias/Fairness and Risk Sections):
"System impact assessments, testing, and post-deployment monitoring are necessary to identify and mitigate risks... This supports both compliance and public trust." Testing is proactive, unlike indemnification (which transfers risk after damage), or requiring manual review (which defeats automation).

NEW QUESTION # 156
......

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