Pass Guaranteed Quiz 2025 IAPP Latest AIGP: IAPP Certified Artificial Intelligence Governance Professional Simulation Questions

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AIGP Simulation Questions & 100% Latest AIGP Official Cert Guide Library - IAPP Certified Artificial Intelligence Governance Professional

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IAPP AIGP Exam Syllabus Topics:

Topic	Details
Topic 1	Understanding How Current Laws Apply to AI Systems: It focuses on laws that govern the use of artificial intelligence.
Topic 2	Understanding the AI Development Life Cycle: The topic outlines the context in which AI risks are managed.
Topic 3	Implementing Responsible AI Governance and Risk Management: It explains the collaboration of major AI stakeholders in a layered approach.

IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q78-Q83):

NEW QUESTION # 78
What is the main purpose of accountability structures under the Govern function of the NIST Al Risk Management Framework?

A. To establish diverse, equitable and inclusive processes.
B. To enable and encourage participation by external stakeholders.
C. To determine responsibility for allocating budgetary resources.
D. To empower and train appropriate cross-functional teams.

Answer: D

Explanation:
The NIST AI Risk Management Framework's Govern function emphasizes the importance of establishing accountability structures that empower and train cross-functional teams. This is crucial because cross- functional teams bring diverse perspectives and expertise, which are essential for effective AI governance and risk management. Training these teams ensures that they are well-equipped to handle their responsibilities and can make informed decisions that align with the organization's AI principles and ethical standards. Reference:
NIST AI Risk Management Framework documentation, Govern function section.

NEW QUESTION # 79
To maintain fairness in a deployed system, it is most important to?

A. Protect against loss of personal data in the model.
B. Optimize computational resources and data to ensure efficiency and scalability.
C. Monitor for data drift that may affect performance and accuracy.
D. Detect anomalies outside established metrics that require new training data.

Answer: C

NEW QUESTION # 80
What is the main purpose of accountability structures under the Govern function of the NIST Al Risk Management Framework?

A. To establish diverse, equitable and inclusive processes.
B. To enable and encourage participation by external stakeholders.
C. To determine responsibility for allocating budgetary resources.
D. To empower and train appropriate cross-functional teams.

Answer: D

Explanation:
The NIST AI Risk Management Framework's Govern function emphasizes the importance of establishing accountability structures that empower and train cross-functional teams. This is crucial because cross-functional teams bring diverse perspectives and expertise, which are essential for effective AI governance and risk management. Training these teams ensures that they are well-equipped to handle their responsibilities and can make informed decisions that align with the organization's AI principles and ethical standards. Reference: NIST AI Risk Management Framework documentation, Govern function section.

NEW QUESTION # 81
Which of the following is a subcategory of Al and machine learning that uses labeled datasets to train algorithms?

A. Generative Al.
B. Supervised learning.
C. Segmentation.
D. Expert systems.

Answer: B

Explanation:
Supervised learning is a subcategory of AI and machine learning where labeled datasets are used to train algorithms. This process involves feeding the algorithm a dataset where the input-output pairs are known, allowing the algorithm to learn and make predictions or decisions based on new, unseen data. Reference:
AIGP BODY OF KNOWLEDGE, which describes supervised learning as a model trained on labeled data (e.g., text recognition, detecting spam in emails).

NEW QUESTION # 82
Scenario:
A large multinational organization is rolling out a company-wide AI governance initiative. To build awareness and support adoption, they are evaluating different ways to train employees and stakeholders across departments, including legal, technical, marketing, and customer-facing roles.
Which of the following typical approaches is a large organization least likely to use to responsibly train stakeholders on AI terminology, strategy and governance?

A. Providing role-specific training, based on whether the organization uses a centralized, federated or decentralized governance model
B. Providing all technical employees education on AI development so they can retool and participate in the development of AI systems
C. Providing information and education to customers and users to understand the capabilities and limitations of the AI tools with which they interact
D. Providing training on AI ethics, based on the extent to which the organization seeks to promote a responsible AI culture

Answer: B

Explanation:
The correct answer is A. While educating technical staff is important, expecting all technical employees to be retooled as AI developers is unrealistic and not aligned with scalable governance practices.
From the AIGP ILT Guide:
"Training approaches should be role-specific and align with the individual's function and responsibilities...
Organizations typically do not expect every technical role to participate in model development." The AI Governance in Practice Report 2024 supports tailored approaches:
"Cross-functional training should be specific to the individual's role and exposure to AI risk... Role-based education supports scalability and comprehension." Thus, broad development training for all technical employees is the least practical and least likely approach.

NEW QUESTION # 83
......

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Pass Guaranteed Quiz 2025 IAPP Latest AIGP: IAPP Certified Artificial Intelligence Governance Professional Simulation Questions

AIGP Simulation Questions & 100% Latest AIGP Official Cert Guide Library - IAPP Certified Artificial Intelligence Governance Professional

IAPP AIGP Exam Syllabus Topics:

IAPP Certified Artificial Intelligence Governance Professional Sample Questions (Q78-Q83):

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