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  1. Home
  2. PECB Certification
  3. ISO-IEC-42001-Lead-Auditor Exam
  4. PECB.ISO-IEC-42001-Lead-Auditor.v2025-06-28.q54 Dumps
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Question 21

During an audit, the auditor uncovers sensitive data regarding the AI system's algorithms and their decision-making processes. Which principle must the auditor adhere to when handling this information?

Correct Answer: C
The correct principle isConfidentiality.
ISO 19011:2018 - Clause 4(e)states that auditors mustrespect the confidentiality of informationacquired during the audit and use it only for audit purposes. This includessensitive or proprietary data, such as AI algorithms, models, and proprietary decision logic.
ThePECB Lead Auditor Guide - Domain 3reinforces that anyinternal or sensitive company information discovered must besafeguarded and never disclosedwithout authorization.
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Question 22

Question:
Which of the following does NOT represent the purpose of managing and maintaining auditprogram records?

Correct Answer: C
Thepurpose of maintaining audit recordsis to demonstrate effective management of the audit program, ensure information security, and show evidence of conformity - not directly to evaluate auditor competence.
* ISO/IEC 19011:2018 Clause 5.5.6states:"Audit records provide evidence of the implementation of the audit program and must address confidentiality and security considerations."
* Auditor competence evaluation is managed separately undercompetence management processes(ISO
/IEC 17021-1:2015 Clause 7.2).
Reference:ISO/IEC 19011:2018 Clause 5.5.6; ISO/IEC 17021-1:2015 Clause 7.2.
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Question 23

What is the main goal of the 'Transparency and Explainability' core element in AI?

Correct Answer: D
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
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Question 24

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?

Correct Answer: C
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.
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Question 25

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:

Correct Answer: B
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
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