PECB ISO/IEC 42001:2023 Artificial Intelligence Management System Lead Auditor ISO-IEC-42001-Lead-Auditor Dumps in PDF

Free PECB ISO-IEC-42001-Lead-Auditor Real Questions (page: 1)

[Fundamental Principles and Concepts of an AI Management System] Which core element emphasizes that AI systems should be designed to avoid bias and ensure fair treatment for all individuals?

  1. Transparency and Explainability
  2. Fairness and Non-Discrimination
  3. Accountability
  4. Human-Centered Design

Answer(s): B



[Fundamental Principles and Concepts of an AI Management System] A retail company wants to implement a system that can predict customer buying behavior based on their browsing history and past purchases.
Which AI concept would be most suitable for developing this predictive system?

  1. Natural Language Processing (NLP)
  2. Computer Vision
  3. Machine Learning (ML)
  4. Deep Learning (DL)

Answer(s): C



[Fundamental Principles and Concepts of an AI Management System] An AI system is being developed to assist elderly people in their daily activities. The system needs to be intuitive and align with the needs and values of its users.
Which core element of AI should guide the design and development of this AI system?

  1. Fairness and Non-Discrimination
  2. Transparency and Explainability
  3. Accountability
  4. Human-Centered Design

Answer(s): D



[Fundamental Principles and Concepts of an AI Management System] A social media platform wants to automatically detect and remove inappropriate content from images and videos uploaded by users.
Which AI concept is most appropriate for this task?

  1. Natural Language Processing (NLP)
  2. Computer Vision
  3. Machine Learning (ML)
  4. Deep Learning (DL)

Answer(s): B



[Conducting an ISO/IEC 42001 Audit]
Which phase involves the collection of objective evidence through interviews, observations, and examination of documents?

  1. Conducting the audit
  2. Audit planning
  3. Audit follow-up
  4. Preparing the audit report

Answer(s): A



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AI Tutor Explanation
8/3/2026 4:40:02 AM

Question 2:
For Question 2, the correct concept is C) Machine Learning (ML).

  • Reason: Predicting future buying behavior from browsing history and past purchases is a predictive analytics task best handled by ML, which learns patterns from historical data.
  • Why not NLP or Computer Vision: NLP is for text data; Computer Vision is for images/videos; neither directly fits predicting customer behavior from structured user data.
  • About Deep Learning: DL is a subset of ML, useful for very large or unstructured data; but for typical retail prediction with structured data, general ML approaches are more appropriate and interpretable.

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