PECB - ISO-IEC-42001-LEAD-AUDITOR - PASS-SURE QUESTION ISO/IEC 42001:2023ARTIFICIAL INTELLIGENCE MANAGEMENT SYSTEM LEAD AUDITOR EXAM EXPLANATIONS

PECB - ISO-IEC-42001-Lead-Auditor - Pass-Sure Question ISO/IEC 42001:2023Artificial Intelligence Management System Lead Auditor Exam Explanations

PECB - ISO-IEC-42001-Lead-Auditor - Pass-Sure Question ISO/IEC 42001:2023Artificial Intelligence Management System Lead Auditor Exam Explanations

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PECB ISO/IEC 42001:2023Artificial Intelligence Management System Lead Auditor Exam Sample Questions (Q110-Q115):

NEW QUESTION # 110
Why is it important to have a clear and agreed audit scope?

  • A. To reduce the time required for the audit
  • B. To maintain confidentiality of audit findings
  • C. To ensure all aspects of the management system are audited
  • D. To prevent any legal liabilities

Answer: C

Explanation:
Aclear and agreed audit scopeensures that the audit willadequately cover all relevant areas of the AI Management Systemand that the audit team understands:
* Boundaries of the audit(departments, processes, AI systems)
* Objectives and criteria
* Whatmust be included or excluded
As perISO 19011:2018 - Clause 5.2, determining the audit scope is critical to ensuring theaudit is effective, relevant, and complete. Similarly, inISO/IEC 42001:2023 - Clause 9.2.1, the scope must be defined to evaluate the full effectiveness of the AIMS.
The PECB Lead Auditor Guide reinforces that without a clear scope, the audit risks missingcritical operational, ethical, or compliance-related areas.
Reference: ISO 19011:2018 - Clause 5.2 (Establishing the audit program) ISO/IEC 42001:2023 - Clause 9.2.1 (Internal audit planning) PECB Lead Auditor Guide - Domain 4: "Audit Scope and Objectives"


NEW QUESTION # 111
What among the below list of steps comes before the other ones in the management system audit process?

  • A. Conducting the opening meeting
  • B. Initiating the audit
  • C. Performing document review
  • D. Preparing the audit report

Answer: B

Explanation:
The first step in the audit process isInitiating the audit.
As perISO 19011:2018 - Clause 6.3, initiating the audit involves activities such asappointing the audit team
, defining theaudit scope and objectives, andcommunicating with the auditeeto set expectations.
After initiation, the auditor proceeds withdocument review, followed by theopening meeting, and then moves into audit execution and reporting.
Reference: ISO 19011:2018 - Clause 6.3 (Initiating the audit)
PECB Lead Auditor Guide - Domain 4: "Audit Lifecycle and Step-by-Step Process"


NEW QUESTION # 112
Scenario 6 (continued):
Scenario 6: HappilyAI is a pioneering enterprise dedicated to developing and deploying artificial intelligence Al solutions tailored toenhance customer service experiences across various industries. The company offers innovative products like virtual assistants,predictive analytics tools, and personalized customer interaction platforms. As part of its commitment to operational excellence andinnovation, HappilyAI has implemented a robust Al management system AIMS to oversee its Al operations effectively. Currently.HappilyAI is undergoing a comprehensive audit process of its AIMS to evaluate its compliance with ISO/IEC 42001.
Under the leadership of Jess, the audit team began the audit process with meticulous planning and coordination, setting the groundworkfor the extensive on-site activities of the stage 1 audit. This initial phase was marked by a comprehensive documentation review. Theaudit scope encompassed a critical review of HappilyAI's core departments, including Research and Development (R&D), CustomerService, and Data Security, aiming to assess the conformity of HappilyAI's AIMS to the requirements of ISO/IEC 42001.
Afterward, Jess and the team conducted a formal opening meeting with HappilyAI to introduce the audit team and outline the auditactivities. The meeting set a collaborative tone for the subsequent phases, where the team engaged in information collection, executedaudit tests, identified findings, and prepared draft nonconformity reports while maintaining a strict quality review process.
In gathering evidence, the audit team employed a sampling method, which involved dividing thepopulation into homogeneous groups toensure a comprehensive and representative data collection by drawing samples from each segment. Furthermore, the team employedobservation to deepen their understanding of the Al management processes. They verified the availability of essential documentation,including Al-related policies, and evaluated the communication channels established for reporting incidents.
Additionally, they scrutinized specific monitoring tools designed to track the performance of data acquisition processes, ensuring thesetools effectively identify and respond to errors or anomalies. However, a notable challenge emerged as the team encountered a lack ofaccess to documented information that describes how tasks about AIMS are executed. In addition to this, the team identified a potentialnonconformity within the Sales Department. They decided not to record this as a nonconformity in the audit report but onlycommunicated it to the HappilyAI's representatives.
During the stage 2 audit, the certification body, in collaboration with HappilyAI, assigned the roles of technical experts within the auditteam. Recognized for their specialized knowledge and expertise in artificial intelligence and its applications, these technical experts aretasked with the thorough assessment of the AIMS framework to ensure its alignment with industry standards and best practices,focusing on areas such as data ethics, algorithmic transparency, and Al system security.
Question:
According to Scenario 6, which sampling method did the audit team use?

  • A. Random
  • B. Stratified
  • C. Systematic

Answer: B

Explanation:
The audit team used aStratified samplingmethod - dividing data or operations into different categories (e.
g., departments or functions) and sampling accordingly.
* ISO 19011:2018 Clause 6.5.5defines stratified sampling as:"Dividing the population into homogeneous subgroups and then taking samples from each subgroup."
* TheISO/IEC 42001 auditing practicesrecommend stratification for complex AI management systems with multiple departments.
Reference:ISO 19011:2018 Clause 6.5.5; ISO/IEC 42001:2023 Clause 9.2.2.


NEW QUESTION # 113
The process to assess the potential consequences for individuals or groups of individuals, or both, and societies that can result from the AI system throughout its life cycle is known as:

  • A. Documentation of AI Systems
  • B. AI System Risk Assessment
  • C. AI System Impact Assessment
  • D. None of the above

Answer: C

Explanation:
The correct term here isAI System Impact Assessment(AIIA), which is distinctly referenced inISO/IEC
42001:2023 - Clause 6.1.2as part of the organization's process to identify and assesspotential impactsof AI systems on stakeholders.
An AIIA is designed to evaluate theethical, societal, legal, and human rights implicationsof AI use. It supportstransparency, stakeholder trust, and ethical alignment.
WhileAI Risk Assessment(Clause 6.1.1) focuses more on organizational and system-level risks (e.g., technical, legal), theImpact Assessmentlooks atexternal consequences- especially forindividuals and groups.
Reference: ISO/IEC 42001:2023 - Clause 6.1.2 (AI impact identification and assessment) PECB Lead Auditor Guide - Domain 2: "Planning and Risk Assessment," Subsection: AI Impact Assessment


NEW QUESTION # 114
A company develops an AI-based health monitoring system that provides insights and recommendations to users. However, users have reported that they do not understand how the system arrives at its recommendations. Which core element should the company enhance to improve user trust and understanding?

  • A. Safety and Reliability
  • B. Transparency and Explainability
  • C. Fairness and Non-Discrimination
  • D. Human-Centered Design

Answer: B

Explanation:
The issue in this case revolves aroundusers not understanding the reasoning or logicbehind the AI- generated recommendations. The relevant core element isTransparency and Explainability.
According toISO/IEC 42001:2023 - Clause 6.1.2 and Clause 8.2.3, transparency refers to theclarity of processes, decisions, and data use, while explainability focuses on makingAI system outputs understandableto human users.
ThePECB Lead Auditor Guideidentifies this as a key factor in buildingtrust, usability, and ethical AI adoption, especially insensitive domainslike healthcare.


NEW QUESTION # 115
......

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