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.

The levels of AI commonly referenced in both ISO/IEC 42001 guidance materials and AI governance literature include:

Artificial Narrow Intelligence (ANI) – Specialized in a single task

Artificial General Intelligence (AGI) – Human-level general problem-solving capability

Artificial Super Intelligence (ASI) – Hypothetical AI surpassing human intelligence

Artificial Machine Intelligence is not a formally recognized level and does not appear in ISO/IEC 42001, nor in PECB’s standard AI terminology.

The PECB Lead Auditor Guide defines the recognized levels under AI system classification and clarifies that terms like "Artificial Machine Intelligence" are non-standard or colloquial and not part of professional auditing or ISO frameworks.

The functional view of an AI system typically divides the system into:

Input Component

Processing Component

Output Component

The “processing component” is responsible for utilizing a trained model to process incoming data and generate outputs such as predictions, actions, or recommendations.

Option B refers to the training phase, which occurs before the processing stage.

Option C relates to governance or lifecycle management — not the system’s processing role.