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Trustworthy ISO-IEC-42001-Lead-Auditor Pdf | Reliable ISO-IEC-42001-Lead-Auditor Test Tutorial

Trustworthy ISO-IEC-42001-Lead-Auditor Pdf | Reliable ISO-IEC-42001-Lead-Auditor Test Tutorial

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PECB ISO/IEC 42001:2023Artificial Intelligence Management System Lead Auditor Exam Sample Questions (Q117-Q122):

NEW QUESTION # 117
Question:
Can ISO/IEC 42001 be integrated into an integrated management system (IMS) with ISO/IEC 27001 and ISO
9001?

  • A. No, since they do not have a similar standard structure
  • B. Yes, but only under special organizational approval
  • C. Yes, because they share a similar standard structure
  • D. No, because each management system should be implemented separately

Answer: C

Explanation:
ISO/IEC 42001 follows theHigh-Level Structure (HLS)(Annex SL) used by ISO management system standards such as ISO/IEC 27001 and ISO 9001. This structural alignment allows for easy integration into a unified management system, facilitating shared documentation, policies, audits, and continual improvement processes.
Reference:ISO/IEC 42001:2023 Introduction, Clause 0.3; ISO Directives Part 1, Annex SL.


NEW QUESTION # 118
Scenario 4 (continued):
BioNovaPharm, a German biopharmaceutical company, has implemented an artificial intelligence management system AIMSbased on ISO/IEC 42001 to optimize various aspects of drug discovery, including analyzing extensive biological data, identifying potentialdrug candidates, and streamlining clinical trial processes. After having the AIMS in place for over a year, the company contracted acertification body and is now undergoing an AIMS audit to obtain certification against ISO/IEC 42001.
Adopting a risk-based approach, the audit team focused on risk throughout their activities. The level of detail outlined in the audit plancorresponded to the scope and complexity of the audit. The team employed a ranking system for detailed audit procedures, prioritizingthose with the highest risk.
Once the stage 1 audit began, the audit team started reviewing the auditee's documented information. To assess whether BioNovaPharmcomplies with the legal and regulatory requirements related to incident communication, the audit team examined evidence provided bythe company's external legal office. The evidence confirmed that BioNovaPharm applies the requirements of the EU Al Act, whichmandates that providers of high-risk Al systems report serious incidents to relevant authorities.
Following the completion of the stage 1 audit, John, an audit team member, documented the stage 1 audit outputs, including theobservations of the audit team that could result in nonconformities during the on-site audit. However, the audit team leader, Emma, whowas overseeing the audit activities, observed that John failed to document significant observations related to the lack of transparency inthe Al decision-making processes of BioNovaPharm. Considering that Emma observed John's lack of competence in undertaking some audit activities, a disciplinary note was recorded for John.
Question:
Which of the following AI applications for auditing did the audit team employ?

  • A. Augmented analysis
  • B. Automated planning
  • C. Automated data validation
  • D. Augmented audit interviews

Answer: C

Explanation:
The audit team usedAutomated Data Validationby using AI to gather and validate external digital data (e.g., drug development information).
* ISO/IEC 42001 Clause 9.2.2 allows the use ofautomated methodsto collect and validate information, provided that the reliability and integrity of such systems are ensured.
* TheLead Auditor Course Guideexplains:"Automated data validation tools help auditors improve evidence collection efficiency by cross-referencing multiple datasets with minimal manual intervention." Reference:ISO/IEC 42001:2023 Clause 9.2.2; Lead Auditor Guide Module 5 ("Use of Automated Tools in Audits").


NEW QUESTION # 119
Which step involves reviewing documents and records relevant to the audit scope?

  • A. Closing meeting
  • B. Document review
  • C. Audit follow-up
  • D. Audit reporting

Answer: B

Explanation:
TheDocument Reviewstep is a key part of audit preparation where auditors evaluate relevantdocuments, records, policies, and proceduresto understand the structure and implementation of the AI Management System.
As perISO 19011:2018 - Clause 6.4.3, document review helps auditorsfamiliarize themselves with the management system, identify potential areas of concern, and refine the audit plan.
In AI audits (such as AIMS under ISO/IEC 42001), this may include reviewingAI governance policies, data governance procedures, impact assessments, or model documentation.


NEW QUESTION # 120
Question:
During the annual ISO/IEC 42001 audit at a financial company, the auditor selected and analyzed a sample of
5 out of 25 follow-up nonconformity reports to assess whether the company adheres to its follow-up process.
What type of evidence did the auditor gather?

  • A. Observational
  • B. Qualitative
  • C. Semi-quantitative
  • D. Quantitative

Answer: D

Explanation:
The auditor gatheredQuantitative evidence.
* Quantitative evidenceis defined as evidence that is measurable and based on numbers or statistical sampling.
* ISO 19011:2018 Clause 6.5.5states:"Quantitative audit evidence is numerical or measurable and collected through sampling, measurements, or observations."
* Sampling nonconformity reports to check process adherence clearly falls underquantitative evidence.
Reference:ISO 19011:2018 Clause 6.5.5; ISO/IEC 42001:2023 Clause 9.2.2.


NEW QUESTION # 121
What is the main goal of the 'Transparency and Explainability' core element in AI?

  • A. To improve the speed of AI systems
  • B. To make AI operations understandable to users and stakeholders
  • C. To ensure AI systems are user-friendly
  • D. To reduce the cost of AI development

Answer: B

Explanation:
The principle ofTransparency and Explainabilityis designed to ensure thatusers and stakeholders can understand how AI systems function, how decisions are made, and what data is used.
ISO/IEC 42001:2023 emphasizes that transparency enablestraceability, clarity of design choices, and auditability, while explainability provides insights intohow outputs are generated, especially for high-risk or critical applications.
In practical terms, this principle supports:
* Buildingtrustin AI systems
* Ensuringregulatory compliance
* Facilitatinginformed decision-making
Reference: ISO/IEC 42001:2023 - Clause 6.1.2 (AI risk identification), and 8.2.3 (Operational planning and control) PECB Lead Auditor Guide - Domain 1: "Transparency and Explainability" as a core ethical value of AI


NEW QUESTION # 122
......

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