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IAPP AIGP 認定試験の出題範囲:
| トピック | 出題範囲 |
|---|
| トピック 1 | - Understanding the Foundations of AI Governance: This section of the exam measures skills of AI governance professionals and covers the core concepts of AI governance, including what AI is, why governance is needed, and the risks and unique characteristics associated with AI. It also addresses the establishment and communication of organizational expectations for AI governance, such as defining roles, fostering cross-functional collaboration, and delivering training on AI strategies. Additionally, it focuses on developing policies and procedures that ensure oversight and accountability throughout the AI lifecycle, including managing third-party risks and updating privacy and security practices.
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| トピック 2 | - Understanding How to Govern AI Deployment and Use: This section of the exam measures skills of technology deployment leads and covers the responsibilities associated with selecting, deploying, and using AI models in a responsible manner. It includes evaluating key factors and risks before deployment, understanding different model types and deployment options, and ensuring ongoing monitoring and maintenance. The domain applies to both proprietary and third-party AI models, emphasizing the importance of transparency, ethical considerations, and continuous oversight throughout the model’s operational life.
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| トピック 3 | - Understanding How to Govern AI Development: This section of the exam measures the skills of AI project managers and covers the governance responsibilities involved in designing, building, training, testing, and maintaining AI models. It emphasizes defining the business context, performing impact assessments, applying relevant laws and best practices, and managing risks during model development. The domain also includes establishing data governance for training and testing, ensuring data quality and provenance, and documenting processes for compliance. Additionally, it focuses on preparing models for release, continuous monitoring, maintenance, incident management, and transparent disclosures to stakeholders.
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| トピック 4 | - Understanding How Laws, Standards, and Frameworks Apply to AI: This section of the exam measures skills of compliance officers and covers the application of existing and emerging legal requirements to AI systems. It explores how data privacy laws, intellectual property, non-discrimination, consumer protection, and product liability laws impact AI. The domain also examines the main elements of the EU AI Act, such as risk classification and requirements for different AI risk levels, as well as enforcement mechanisms. Furthermore, it addresses the key industry standards and frameworks, including OECD principles, NIST AI Risk Management Framework, and ISO AI standards, guiding organizations in trustworthy and compliant AI implementation.
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IAPPのAIGPの実際のテストのオンラインバージョンを使用すると非常に便利です。 オンライン版の利便性を実感すれば、多くの問題の解決に役立ちます。 MogiExam教材のAIGPオンライン版の利便性は、主に次の側面に反映されています。一方で、オンライン版は機器に限定されません。 AIGPテスト準備のオンラインバージョンは、電話、コンピューターなどを含むすべての電子機器に適用されます。 一方、AIGP学習資料のオンライン版を使用することに決めた場合、WLANネットワークがないことを心配する必要はありません。
IAPP Certified Artificial Intelligence Governance Professional 認定 AIGP 試験問題 (Q90-Q95):
質問 # 90
Your organization is searching for a new way to help accurately forecast sales predictions by various types of customers. Which of the following is the best type of model to choose if your organization wants to customize the model and avoid lock-in?
- A. A free large language model.
- B. A proprietary generative AI model.
- C. A classic machine learning model.
- D. A subscription-based, multimodal model.
正解:C
解説:
A classic machine learning model offers full customization, transparency, and portability, allowing the organization to tailor training data, model architecture, and deployment without dependence on a proprietary vendor, thereby avoiding lock-in.
質問 # 91
CASE STUDY
Please use the following answer the next question:
XYZ Corp., a premier payroll services company that employs thousands of people globally, is embarking on a new hiring campaign and wants to implement policies and procedures to identify and retain the best talent. The new talent will help the company's product team expand its payroll offerings to companies in the healthcare and transportation sectors, including in Asia.
It has become time consuming and expensive for HR to review all resumes, and they are concerned that human reviewers might be susceptible to bias.
Address these concerns, the company is considering using a third-party Al tool to screen resumes and assist with hiring. They have been talking to several vendors about possibly obtaining a third-party Al-enabled hiring solution, as long as it would achieve its goals and comply with all applicable laws.
The organization has a large procurement team that is responsible for the contracting of technology solutions. One of the procurement team's goals is to reduce costs, and it often prefers lower-cost solutions. Others within the company are responsible for integrating and deploying technology solutions into the organization's operations in a responsible, cost-effective manner.
The organization is aware of the risks presented by Al hiring tools and wants to mitigate them. It also questions how best to organize and train its existing personnel to use the Al hiring tool responsibly. Their concerns are heightened by the fact that relevant laws vary across jurisdictions and continue to change.
The frameworks that would be most appropriate for XYZ's governance needs would be the NIST Al Risk Management Framework and?
- A. IEEE Ethical System Design Risk Management Framework (IEEE 7000-21).
- B. Human Rights, Democracy, and Rule of Law Impact Assessment (HUDERIA).
- C. NIST Information Security Risk (NIST SP 800-39).
- D. NIST Cyber Security Risk Management Framework (CSF 2.0).
正解:A
解説:
The IEEE Ethical System Design Risk Management Framework (IEEE 7000-21) would be most appropriate for XYZ Corp's governance needs in addition to the NIST AI Risk Management Framework. The IEEE framework specifically addresses ethical concerns during system design, which is crucial for ensuring the responsible use of AI in hiring. It complements the NIST framework by focusing on ethical risk management, aligning well with XYZ Corp's goals of deploying AI responsibly and mitigating associated risks.
質問 # 92
What is the key feature of Graphical Processing Units (GPUs) that makes them well-suited to running Al applications?
- A. GPUs run many tasks concurrently, resulting in faster processing.
- B. The number of transistors on GPUs doubles every two years, making thechips smaller and lighter.
- C. GPUs can run every task on a computer, making them more robust than CPUs.
- D. GPUs can access memory quickly, resulting in lower latency than CPUs.
正解:A
解説:
GPUs (Graphical Processing Units) are well-suited to running AI applications due to their ability to run many tasks concurrently, which significantly enhances processing speed. This parallel processing capability makes GPUs ideal for handling the large-scale computations required in AI and deep learning tasks. Reference: AIGP BODY OF KNOWLEDGE, which explains the importance of compute infrastructure in AI applications.
質問 # 93
Which of the following use cases would be best served by a non-AI solution?
- A. A customer service agency wants to automate answers to common questions.
- B. A non-profit wants to develop a social media presence.
- C. A business analyst wants to develop advertising campaigns.
- D. An e-commerce provider wants to make personalized recommendations.
正解:B
解説:
The correct answer is A because developing a social media presence typically does not require AI and can be effectively achieved through traditional digital marketing strategies, content planning, and manual engagement. AI governance principles emphasize that organizations should first determine whether AI is necessary or proportionate to the problem being solved. Using AI where simpler, deterministic, or human- driven solutions suffice can introduce unnecessary complexity, cost, and risk. In contrast, options B, C, and D involve tasks such as campaign optimization, personalization, and automation, which benefit significantly from AI capabilities like pattern recognition, predictive analytics, and natural language processing.
Responsible AI governance encourages a "fit-for-purpose" approach, ensuring AI is only deployed when it provides clear added value over non-AI alternatives.
質問 # 94
The main purpose of NIST's Assessing Risks and Impacts of AI (ARIA) program is to:
- A. Provide a suite of resources to manage risks.
- B. Promote interoperability across AI systems.
- C. Pilot new standards for AI red-teaming.
- D. Offer a regulatory sandbox for risk reporting.
正解:A
解説:
NIST's ARIA program is designed to provide organizations with practical resources, guidance, and methodologies to assess and manage the risks and impacts of AI systems.
質問 # 95
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