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| Certification Vendor: | IAPP (International Association of Privacy Professionals) |
|---|---|
| Exam Name: | IAPP Certified Artificial Intelligence Governance Professional (AIGP) Exam |
| Exam Number: | AIGP |
| Exam Price: | USD 799 (non-member) / USD 649 (IAPP member) |
| Passing Score: | 300 (scaled score out of 100–500) |
| Exam Format: | Single-select, Multiple-choice, Scenario-based questions, Multi-select |
| Related Certifications: | CIPT CIPP/US CIPP/E CIPM |
| Available Languages: | English |
| Exam Duration: | 165 minutes |
| Real Exam Qty: | 100 (85 scored + ~15 unscored pilot questions) |
| Certificate Validity Period: | 2 years |
| Recommended Training: | IAPP Official AIGP Training and Resources AIGP Practice Exam (Official IAPP Store) |
| Exam Registration: | Official IAPP AIGP Exam Registration Pearson VUE Scheduling Portal (via IAPP account) |
| Sample Questions: | IAPP AIGP Sample Questions |
| Exam Way: | Computer-based exam delivered via Pearson VUE (test center or online proctored OnVUE) |
| Pre Condition: | None |
| Official Syllabus URL: | https://iapp.org/certify/aigp |
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NEW QUESTION # 98
All of the following are elements of establishing a global Al governance infrastructure EXCEPT?
Answer: C
Explanation:
Establishing a global AI governance infrastructure involves several key elements, including providing training to foster a culture that promotes ethical behavior, creating policies and procedures to manage third-party risk, and understanding differences in norms across countries. While publicly disclosing ethical principles can enhance transparency and trust, it is not a core element necessary for the establishment of a governance infrastructure. The focus is more on internal processes and structures rather than public disclosure. Reference:
AIGP Body of Knowledge on AI Governance and Infrastructure.
NEW QUESTION # 99
You asked a generative AI 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 AI 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 AI tool is an example of what is commonly called:
Answer: A
Explanation:
The AI generating incorrect or fabricated information, like nonexistent restaurants, is referred to as hallucination.
NEW QUESTION # 100
CASE STUDY
Please use the following to answer the next question:
You have recently assumed the role of AI Governance leader for a California-based medical technology company. The organization primarily serves hospitals and has recently expanded to include walk-in clinics located within local pharmacies.
The company's core business focuses on diagnostic assistance powered by a large language model LLM and back-office process optimization using Agentic AI, including chatbots, medical record request handling, scheduling and billing.
In preparation for its next round of funding, the board has asked you to prepare an AI Risk report to demonstrate to investors how the company is addressing AI-related risks. In preparing the report you learn that last year the company generated 30 million dollars in gross revenue across the US, EU, India, and South Korea and that vendors are engaged for various activities, including model testing and providing third-party AI solutions for chatbots.
Which of the following best exemplifies human oversight capabilities you should enable under the relevant AI laws?
Answer: D
Explanation:
The correct answer is A because it directly demonstrates meaningful human oversight over AI-generated outcomes, which is a key requirement in AI governance frameworks and regulations such as the EU AI Act. Human oversight requires that a qualified human can review, intervene, and override AI decisions before they produce legal or significant real-world effects. In high-risk contexts like healthcare diagnostics, governance frameworks emphasize "human-in-the-loop" controls to prevent harm and ensure accountability. Option A ensures a licensed medical professional validates the AI output before it is finalized, aligning with safety, accountability, and risk mitigation principles. Other options describe training, system design, or monitoring, which are important governance measures but do not constitute direct oversight of individual AI decisions at the point of impact, making them insufficient under strict regulatory expectations.
NEW QUESTION # 101
A bank is aiming to comply with ISO/IEC 42005:2025, and is studying how to adopt the standard in light of a new AI customer service system that it would like to implement.
In addition to the risk management process the bank already has in place to assess the risks of any potential new systems, which of the following actions is the most effective in adopting the ISO/IEC 42005:2025 standard?
Answer: B
Explanation:
The correct answer is B because ISO/IEC 42005 emphasizes integrating AI risk management into existing enterprise risk management frameworks rather than creating siloed or duplicative processes. Effective AI governance requires embedding AI-specific risks into established governance structures such as risk registers, controls, and monitoring systems. This ensures consistency, scalability, and alignment with organizational risk practices. Options C and D introduce parallel or fragmented processes, which contradict the principle of integrated governance and may create inefficiencies or gaps. Option A focuses only on data collection and does not address governance integration. The AI Governance in Practice Report highlights that organizations should incorporate AI risks into broader enterprise risk management and maintain unified risk registers to ensure visibility, accountability, and coordinated mitigation across the organization.
NEW QUESTION # 102
Retraining an LLM can be necessary for all of the following reasons EXCEPT:
Answer: B
Explanation:
Retraining focuses on adapting the model to data changes or specific use cases, but it does not directly ensure interpretability of predictions, which involves different methods.
NEW QUESTION # 103
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