PECB · ISO42001LA
PECB Certified ISO/IEC 42001 Lead Auditor Practice Tests
Validates the skills to plan, manage, and lead audits of an Artificial Intelligence Management System (AIMS) conforming to ISO/IEC 42001. Covers the complete audit lifecycle from preparation through closure and ongoing audit program management.
Exam Details
Practice Questions
120
≈ 1 practice exams
Duration
180 minutes
Passing Score
70%
Difficulty
ProfessionalLast Updated
Oct 2026
Topics Covered
AI Management System (AIMS) FundamentalsISO/IEC 42001 RequirementsFundamental Audit Concepts and PrinciplesPreparing an AuditConducting an AuditClosing an AuditManaging an Audit Program
PECB Certified ISO/IEC 42001 Lead Auditor Practice Exam Preparation
Use this ISO42001LA practice exam to prepare for PECB Certified ISO/IEC 42001 Lead Auditor with realistic questions, detailed explanations, and focused study modes. The practice bank includes 120 questions for PECB ISO42001LA, so you can review the exam steadily instead of relying on one long cram session.
As you practice, pay extra attention to recurring topics such as AI Management System (AIMS) Fundamentals, ISO/IEC 42001 Requirements, Fundamental Audit Concepts and Principles, Preparing an Audit, and Conducting an Audit. Start with short sessions to identify weak areas, then move into timed quizzes once your accuracy is consistent.
The explanations are written for candidates preparing for PECB certification questions and reviewing how the concepts apply in practice. Use the free preview first, then unlock the full question bank when you are ready to build a complete study routine.
Sample Questions
5 sample questions with answers and explanations. The full bank has 120 questions, enough for 1 full-length practice exams.
Preview — answers shown1. An auditor reviews a model that analyzes unlabeled data to discover hidden structures or patterns, such as clustering. Which machine learning paradigm is being used? (Select one!)
AReinforcement Learning
BUnsupervised Learning
CDeep Learning
DSupervised Learning
Explanation
Unsupervised Learning analyzes unlabeled data to discover hidden structures or patterns, such as clustering. Supervised Learning requires labeled training data with expected outputs. Reinforcement Learning learns through rewards and penalties in an environment. Deep Learning is an architecture, not a learning paradigm defined by data labeling.
2. The audit team is reviewing the organization's risk management approach. Which standard provides guidance on AI-specific risk management, extending the principles of ISO 31000 to the AI context? (Select one!)
AISO/IEC 5338:2023
BISO/IEC 42006:2025
CISO/IEC 22989:2022
DISO/IEC 23894:2023
Explanation
ISO/IEC 23894:2023 provides guidance on AI-specific risk management. It extends the general risk management principles of ISO 31000 to address the unique uncertainties and risks associated with AI systems. ISO/IEC 22989 covers terminology, ISO/IEC 5338 covers life cycle processes, and ISO/IEC 42006 covers requirements for certification bodies.
3. A candidate is studying the relationship between ISO/IEC 42001 and other standards. Which standard provides the AI concepts and terminology that serve as the reference for definitions used within ISO/IEC 42001? (Select one!)
AISO/IEC 42005:2025
BISO/IEC 22989:2022
CISO/IEC 5338:2023
DISO/IEC 23894:2023
Explanation
ISO/IEC 22989:2022 provides the fundamental concepts and terminology for artificial intelligence and is the normative reference for definitions used in ISO/IEC 42001. ISO/IEC 23894 provides guidance on AI risk management, ISO/IEC 5338 defines AI system life cycle processes, and ISO/IEC 42005 provides guidance on AI system impact assessments.
4. During an audit, the auditor observes that the organization has implemented 38 controls from Annex A. The auditor needs to verify if these controls are aligned with the correct number of control objectives. How many control objectives are defined in Annex A of ISO/IEC 42001? (Select one!)
A5
B38
C9
D12
Explanation
Annex A of ISO/IEC 42001 contains 38 controls organized under 9 control objectives. The number 38 refers to the total count of controls, not the objectives. The numbers 5 and 12 are incorrect counts for this specific standard. Confusing the number of controls with the number of objectives is a common error; the objectives are the high-level categories (A.2 through A.10) under which the controls are grouped.
5. A candidate is studying the normative structure of ISO/IEC 42001:2023. They need to identify which clauses contain the mandatory requirements for an AI Management System. Which range of clauses should they focus on? (Select one!)
AClauses 4 through 10
BAnnexes A through D
CClauses 11 through 15
DClauses 1 through 3
Explanation
The mandatory requirements for an AI Management System in ISO/IEC 42001 are contained exclusively in Clauses 4 through 10. Clauses 1 through 3 cover scope, normative references, and terms and definitions, which are not requirements themselves. Annexes A through D provide controls and guidance but are not the primary normative clauses for the management system structure. Clauses 11 through 15 do not exist in the standard's structure.
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