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시험준비에가장좋은AIGP덤프최신덤프공부

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IAPP AIGP 시험요강:

주제
소개

주제 1

Understanding the AI Development Life Cycle: The topic outlines the context in which AI risks are managed.

주제 2

Understanding How Current Laws Apply to AI Systems: It focuses on laws that govern the use of artificial intelligence.

주제 3

Understanding the Existing and Emerging AI Laws and Standards: This topic discusses global AI-specific laws such as the EU AI Act and Canada’s Bill C-27.

주제 4

Understanding the Foundations of Artificial Intelligence: This topic defines AI and machine learning. It also provides an overview of the different types of AI systems and their use cases.

주제 5

Understanding AI Impacts and Responsible AI Principles: This topic identifies different risks that that ungoverned AI systems. The topic also describes features and principles that are essential for trustworthy and ethical AI.

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AIGP시험응시, AIGP합격보장 가능 덤프문제

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최신 Artificial Intelligence Governance AIGP 무료샘플문제 (Q123-Q128):

질문 # 123
A U.S. mortgage company developed an Al platform that was trained using anonymized details from mortgage applications, including the applicant's education, employment and demographic information, as well as from subsequent payment or default information. The Al platform will be used automatically grant or deny new mortgage applications, depending on whether the platform views an applicant as presenting a likely risk of default.
Which of the following laws is NOT relevant to this use case?

A. Fair Credit Reporting Act.
B. Title VII of the Civil Rights Act of 1964.
C. Equal Credit Opportunity Act.
D. Fair Housing Act.

정답：B

설명：
The U.S. mortgage company's AI platform relates to housing and credit, making the Fair Housing Act (A), Fair Credit Reporting Act (B), and Equal Credit Opportunity Act (C) relevant. Title VII of the Civil Rights Act of 1964 deals with employment discrimination and is not directly relevant to the mortgage application context (D).

질문 # 124
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 was trained by an EU company.
B. The model was released under an open source license.
C. The model is deployed at an EU border checkpoint.
D. The model is deployed at UK border checkpoints.

정답：D

설명：
TheEU AI Actapplies extraterritorially, meaning it affects entitiesoutside the EUwhen their AI systems impact individuals within the EU. However, it doesnotapply to systems that are developed, sold, or used entirely outside of the EU-such as in theUK, unless they affect the EU market or individuals.
From theAI Governance in Practice Report 2024:
"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.

질문 # 125
The OECD's Ethical Al Governance Framework is a self-regulation model that proposes to prevent societal harms by?

A. Balancing Al innovation with ethical considerations.
B. Establishing explain ability criteria to responsibly source and use data to train Al systems.
C. Defining requirements specific to each industry sector and high-risk Al domain.
D. Focusing on Al technical design and post-deployment monitoring.

정답：A

설명：
The OECD's Ethical AI Governance Framework aims to ensure that AI development and deployment are carried out ethically while fostering innovation. The framework includes principles like transparency, accountability, and human rights protections to prevent societal harm. It does not focus solely on technical design or post-deployment monitoring (C), nor does it establish industry-specific requirements (B). While explainability is important, the primary goal is to balance innovation with ethical considerations (D).

질문 # 126
What is the most important reason to document the results of AI testing?

A. To create a verifiable audit trail.
B. To identify areas for red-teaming focus.
C. To limit the need for future testing cycles.
D. To support post-deployment maintenance.

정답：A

설명：
Testing results need to bedocumented thoroughlyto ensuretraceability, accountability, and compliance.
This is central to enabling audits, investigations, or regulatory inquiries into the system's development and performance.
From theAI Governance in Practice Report 2024:
"Documentation and recordkeeping are essential components... to demonstrate AI system compliance, trace system behavior, and support audits and conformity assessments." (p. 34-35)
"Maintaining audit trails across development and deployment enables transparency and accountability." (p.
12)
* AandBare benefits, but not theprimary governance justification.
* D- Limiting future testing is not a recommended goal.

질문 # 127
Which of the following is a subcategory of Al and machine learning that uses labeled datasets to train algorithms?

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

정답：B

설명：
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).

질문 # 128
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