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100% Pass 2025 PECB ISO-IEC-42001-Lead-Auditor: Authoritative ISO/IEC 42001:2023Artificial Intelligence Management System Lead Auditor Exam Pass Rate
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PECB ISO-IEC-42001-Lead-Auditor Exam Syllabus Topics:
Topic
Details
Topic 1
- Preparing an ISO
- IEC 42001 audit: This section of the exam measures the skills of a Lead Auditor and covers how to plan and prepare for an AI management system audit. It includes creating audit plans, selecting team members, and setting clear objectives to ensure a smooth audit process.
Topic 2
- Managing an ISO
- IEC 42001 audit program: This section of the exam measures the skills of an AI Compliance Officer and deals with overseeing an entire audit program. It involves managing multiple audits, tracking audit performance, and aligning audit outcomes with broader organizational goals related to AI governance.
Topic 3
- AI management system requirements: This section of the exam measures the skills of a Lead Auditor and focuses on understanding the key requirements outlined in ISO
- IEC 42001. It explains how organizations should structure their AI-related activities and processes to meet compliance standards effectively.
Topic 4
- Conducting an ISO
- IEC 42001 audit: This section of the exam measures the skills of a Lead Auditor and focuses on executing the audit according to ISO
- IEC 42001 guidelines. It includes collecting evidence, interviewing relevant staff, and evaluating compliance with the AI management system standards.
Topic 5
- Closing an ISO
- IEC 42001 audit: This section of the exam measures the skills of an AI Compliance Officer and explains how to complete the audit process. It includes reporting findings, managing nonconformities, and conducting follow-ups to ensure continuous improvement and compliance.
PECB ISO/IEC 42001:2023Artificial Intelligence Management System Lead Auditor Exam Sample Questions (Q51-Q56):
NEW QUESTION # 51
Which among the following is NOT a level of AI?
- A. Artificial Super Intelligence
- B. Artificial Machine Intelligence
- C. Artificial Narrow Intelligence
- D. Artificial General Intelligence
Answer: B
Explanation:
The levels of AI commonly referenced in bothISO/IEC 42001guidance 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 Intelligenceisnot a formally recognized leveland doesnot 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" arenon-standard or colloquialand not part of professional auditing or ISO frameworks.
NEW QUESTION # 52
Question:
During a combined audit, if an auditor identifies a finding linked to one criterion, should they consider its potential impact on corresponding or related criteria of other management systems?
- A. No, in such cases the auditor should always focus on the specific criterion identified
- B. Yes, the auditor should consider the other criteria only if the finding is deemed significant
- C. Yes, the auditor should consider the possible impact on the corresponding or similar criteria of the other management system
Answer: C
Explanation:
In acombined audit, auditors are required toconsider the implications of a finding across different but related management systems.
* ISO/IEC 17021-1:2015 Clause 9.2.2.2states:"Findings should be evaluated not only against the specific audit criteria but also their relevance to other applicable requirements in combined audits."
* TheLead Auditor Training Manualclarifies:"In combined audits, findings must be reviewed for their potential cross-system impacts to ensure full system-wide conformity." Reference:ISO/IEC 17021-1:2015 Clause 9.2.2.2; ISO/IEC 42001 Lead Auditor Guide, Combined Audit Considerations.
NEW QUESTION # 53
Scenario 3 (continued):
ArBank is a financial institution located in Brussels, Belgium, which offers a diverse range of banking and investment servicesto its clients. To ensure the continual improvement of its operations, ArBank has implemented a quality management system QMS based on ISO 9001 and an artificial intelligence management system AIMS based on the requirements of ISO/IEC
42001.
Audrey, an experienced auditor, led an internal audit focused on the AIMS within ArBank. She assessed the chatbots integrated into thebank's website and mobile app, analyzing communications using big data technology to identify potential noncompliance, fraud, orunethical conduct. Instead of relying solely on the information provided by the chatbots, Audrey sought out evidence that would eitherconfirm or challenge the validity of the data, ensuring her conclusions were based on reliable and accurate information. Her review ofselected chatbot interactions confirmed they met their intended purpose.
For the specific context of ArBank's operations, Audrey utilized an Al system to assess the efficiency of the bank's digital infrastructure,focusing on tasks critical to the Finance Department. This Al system was able to analyze the functionality of chatbots integrated intoArBank's website and mobile app to determine if it adheres to ISO/IEC 42001 requirements and internal policies governing customerservice in the banking sector.
In addition, Audrey conducted a deeper assessment of the bank's AIMS. Her evaluation included observing different stages of the AIMSlife cycle, from development to deployment, to ensure that roles and responsibilities were clearly defined and aligned with ArBank'soperational goals. She also evaluated the tools used to monitor and measure the performance of the AIMS.
Audrey continued the audit process by auditing ArBank's outsourced operations. Upon checking the contractual agreements between thetwo parties, Audrey decided that there was no need to gather audit evidence regarding the contractual agreement. She reviewed thecompany's processes for monitoring the quality of outsourced operations, determined whether appropriate governance processes are inplace with regard to the engagement of outsourced persons or organizations, and reviewed and evaluated the company's plans in case ofexpected or unexpected termination of the outsourcing agreement.
Based on the scenario above, answer the following question:
Question:
Based on Scenario 3, which of the following AI technologies did Audrey employ to assess the efficiency of the bank's digital infrastructure?
- A. Artificial neural networks
- B. An autonomous system
- C. Semantic algorithms
- D. An expert system
Answer: A
Explanation:
Audrey usedArtificial Neural Networks (ANNs).
Artificial neural networks are AI technologies capable of pattern recognition, data classification, and anomaly detection in large datasets, which is essential when assessing chatbot performance.
* ISO/IEC 22989:2022 Clause 6.6states:"ANNs are AI systems inspired by biological neural networks, useful for analyzing structured and unstructured data."
* ISO/IEC 42001 indirectly refers to using appropriate AI systems for monitoring and assessing AI performance in Clause 8.1 (Operational Controls).
Reference:ISO/IEC 22989:2022 Clause 6.6; ISO/IEC 42001:2023 Clause 8.1 (Operational Controls).
NEW QUESTION # 54
Which control in Annex A of ISO 42001:2023 focuses on the need for stakeholder engagement in AI system development?
- A. Continuous Improvement
- B. Risk Assessment
- C. Stakeholder Consultation
- D. Data Management
Answer: C
Explanation:
Annex A - Control A.5.2.2: Stakeholder Consultationexplicitly requires organizations toconsult with relevant stakeholders(such as users, impacted communities, regulators, etc.) during the development and operation of AI systems.
This control emphasizes the importance of engaging stakeholders toidentify expectations, values, ethical concerns, and social impact risksassociated with the AI system.
Stakeholder engagement supports transparency, ethical alignment, and social acceptability of AI solutions.
Reference: ISO/IEC 42001:2023 - Annex A, Control A.5.2.2 (Stakeholder Consultation) PECB Lead Auditor Guide - Domain 2: "Governance and Control Requirements for Ethical AI"
NEW QUESTION # 55
Question:
Which of the following standards emphasizes the importance of conducting AI system impact assessments to evaluate the potential effects on individuals and societies affected by the AI system?
- A. ISO/IEC 42006
- B. ISO/IEC 22989
- C. ISO/IEC 27001
- D. ISO/IEC 42005
Answer: B
Explanation:
ISO/IEC 22989:2022 (Information technology - Artificial intelligence concepts and terminology) defines the necessity for AI system impact assessments, particularly in evaluating the societal and individual implications. While ISO/IEC 42001 mentions risk assessment, ISO/IEC 22989 focuses more on the conceptual need for impact assessments.
Reference: ISO/IEC 22989:2022, Clauses 6.1 and 6.3 (Impact and Risk Considerations).
NEW QUESTION # 56
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