PECB ISO-IEC-42001-Lead-Auditor Exam With Confidence Using Practice Dumps

Machine Learning (ML) is the most suitable AI concept in this scenario. ML focuses on developing algorithms that can learn from structured or unstructured data and make predictions based on historical patterns.

In this case, analyzing customer browsing history and purchase records falls directly under supervised learning, a subcategory of ML, which is typically used for predictive modeling in retail (such as next-best-offer, product recommendation, or demand forecasting).

According to the PECB Lead Auditor Study Guide (Domain 1), ML is specifically referenced as the core technique for prediction systems, user behavior modeling, and data-driven decision-making systems.

Though Deep Learning (DL) is a subset of ML, it is often used for more complex pattern recognition tasks such as image or speech recognition, which is not explicitly required here.

Materiality is not a one-time evaluation but an ongoing judgment throughout the audit process. It is assessed continually to determine the significance of audit findings in the context of the audit objectives.

According to ISO 19011:2018, auditors should consider the relevance and materiality of information when identifying audit findings. Materiality can change based on evidence found in different phases such as planning, on-site audit, and reporting.

Annex B of ISO/IEC 42001:2023 provides detailed guidance on the integration of AIMS with other management systems. It supports harmonization with existing systems, such as:

ISO/IEC 27001 (Information Security Management System)

ISO 22301 (Business Continuity Management System)

ISO 9001 (Quality Management System)

Annex B promotes the use of a high-level structure (HLS), aligned terminology, and a risk-based approach to enable integrated planning, unified documentation, and cohesive objectives across systems.

Option B (Annex C) relates to additional implementation guidance for AI-specific controls.

Option C (Annex D) does not exist in ISO/IEC 42001.