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PECB ISO-IEC-42001-Lead-Auditor Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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.
Topic 3	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.

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PECB ISO/IEC 42001:2023Artificial Intelligence Management System Lead Auditor Exam Sample Questions (Q180-Q185):

NEW QUESTION # 180
Question:
While preparing for an AIMS audit, a technology company faced an issue: the auditor lacked a required security clearance for accessing sensitive information related to government contracts.
The company requested a replacement auditor. Is this acceptable?

A. Yes, the auditor not holding the security clearance required by the auditee is a valid reason to request the replacement of the auditor
B. No, the auditee can request the replacement of the auditor only if the auditor is in a conflict of interest situation
C. No, the auditee can request the replacement of the auditor only if the auditor has audited the company in the past

Answer: A

Explanation:
It isacceptablefor an auditee to request a change if the assigned auditorlacks necessary security clearancesto perform the audit properly.
* ISO/IEC 17021-1:2015 Clause 5.2.2requires that auditors must have appropriate competence, including security requirements, for sensitive audits.
* TheLead Auditor Trainingspecifies:"Auditee organizations have the right to request a replacement of auditors if competence (including security clearance) is insufficient for audit scope requirements." Reference:ISO/IEC 17021-1:2015 Clause 5.2.2; ISO/IEC 42001 Lead Auditor Guide Chapter 5 ("Auditor Competence and Replacement").

NEW QUESTION # 181
What type of audit evidence did Augustine gather when he collected management review records? Refer to scenario 3.
Scenario 3: Heala specializes in developing Al-driven solutions for the healthcare sector. With a keen focus on leveraging Al to revolutionize patient care, diagnostics, and treatment planning, the company has implemented an artificial intelligence management system AIMS based on ISO/IEC 42001. After a year of having the AIMS in place, the company decided to apply for a certification audit.
It contracted a local certification body, who established the audit team and assigned the audit team leader.
Augustine, the designated audit team leader, has a wide
range of skills relevant to various auditing domains. His proficiency encompasses audit principles, processes, and methods, as well as standards for management systems and additional references. Furthermore, he is knowledgeable about the Heala's context and relevant statutory and regulatory requirements.
Augustine first gathered management review records, interested party feedback logs, and revision histories for Heala's AIMS. This crucial step laid the groundwork for a deeper investigation, which included conducting comprehensive interviews with key personnel to understand how feedback from interested parties directly influenced updates to the AIMS and its strategic direction. Augustine's thorough evaluation process aimed to verify Heala's commitment to integrating the needs and expectations of interested parties, a critical requirement of ISO/IEC 42001.
Augustine also integrated a sophisticated Al tool to analyze large datasets for patterns and anomalies, and thus have a more informed and data driven audit process.
This Al solution, known for its ability to sift through vast amounts of data with unparalleled speed and accuracy, enabled Augustine to identify irregularities and trends that would have been nearly impossible to detect through manual methods. The tool was also helpful in preparing hypotheses based on data.
During the audit. Augustine failed to fully consider Heala's critical processes, expectations, the complexity of audit tasks, and necessary resources beforehand. This oversight compromised the audit integrity and reliability, reflecting a significant deviation from the diligence and informed judgment expected of auditors.

A. Documentary
B. Confirmative
C. Observational
D. Mathematical

Answer: A

Explanation:
Audit evidence can be classified into different types, including documentary, oral, observational, and physical. According to ISO 19011:2018 (Guidelines for Auditing Management Systems), which is referenced in ISO/IEC 42001:2023 for audit practice, "Documented information (such as policies, procedures, reports, records)" is considered documentary evidence.
In the scenario, Augustine collected:
Management review records
Feedback logs
Revision histories
All of these are written or electronic records and fall under documentary evidence.
Reference:
ISO 19011:2018, Clause 3.8 - Audit Evidence
ISO/IEC 42001:2023, Clause 9.2 - Internal audit evidence requirements
PECB ISO/IEC 42001 Lead Auditor Study Guide, Chapter: Types of audit evidence

NEW QUESTION # 182
Scenario: NeuraGen, founded by a team of AI experts and data scientists, has gained attention for its advanced use of artificial intelligence. It specializes in developing personalized learning platforms powered by AI algorithms. MindMeld, its innovative product, is an educational platform that uses machine learning and stands out by learning from both labeled and unlabeled data during its training process. This approach allows MindMeld to use a wide range of educational content and personalize learning experiences with exceptional accuracy. Furthermore, MindMeld employs an advanced AI system capable of handling a wide variety of tasks, consistently delivering a satisfactory level of performance. This approach improves the effectiveness of educational materials and adapts to different learners' needs.
NeuraGen skillfully handles data management and AI system development, particularly for MindMeld.
Initially, NeuraGen sources data from a diverse array of origins, examining patterns, relationships, trends, and anomalies. This data is then refined and formatted for compatibility with MindMeld, ensuring that any irrelevant or extraneous information is systematically eliminated. Following this, values are adjusted to a unified scale to facilitate mathematical comparability. A crucial step in this process is the rigorous removal of all personally identifiable information (PII) to protect individual privacy. Finally, the data is subjected to quality checks to assess its completeness, identify any potential bias, and evaluate other factors that could impact the platform's efficacy and reliability.
NeuraGen has implemented an advanced artificial intelligence management system (AIMS) based on ISO
/IEC 42001 to support its efforts in AI-driven education. This system provides a framework for managing the life cycle of AI projects, ensuring that development and deployment are guided by ethical standards and best practices.
NeuraGen's top management is key to running the AIMS effectively. Applying an international standard that specifically provides guidance for the highest level of company leadership on governing the effective use of AI, they embed ethical principles such as fairness, transparency, and accountability directly into their strategic operations and decision-making processes.
While the company excels in ensuring fairness, transparency, reliability, safety, and privacy in its AI applications, actively preventing bias, fostering a clear understanding of AI decisions, guaranteeing system dependability, and protecting user data, it struggles to clearly define who is responsible for the development, deployment, and outcomes of its AI systems. Consequently, it becomes difficult to determine responsibility when issues arise, which undermines trust and accountability, both critical for the integrity and success of AI initiatives.
What type of machine learning does MindMeld utilize?

A. Unsupervised machine learning
B. Semi-supervised
C. Reinforcement learning

Answer: B

Explanation:
MindMeld learns from both labeled and unlabeled data, which is the defining characteristic of semi- supervised learning. Semi-supervised learning leverages a small amount of labeled data along with a larger set of unlabeled data to improve learning efficiency and accuracy. This contrasts with reinforcement learning, which relies on feedback via rewards and punishments, and unsupervised learning, which uses only unlabeled data.
ISO/IEC 42001:2023 requires organizations to understand and manage the AI lifecycle, including clear identification of the AI methods used to ensure fairness, transparency, and reliability (Clause 4.2, Clause 5.4).
Semi-supervised learning supports these goals by allowing effective use of data while managing privacy risks such as PII removal.
Reference:ISO/IEC 42001:2023, Clause 4.2 - Understanding the AI system and its requirementsISO/IEC
42001:2023, Clause 5.4 - Data management and privacyArtificial Intelligence Management System Lead Auditor Guide, Section 7.3.1

NEW QUESTION # 183
Based on Scenario 6, which aspect of assigning roles and responsibilities to the audit team is incorrect?
Scenario 6: AfrinovAl, based in Nairobi, Kenya, develops Al tools to improve agriculture in Africa. The company uses Al to address challenges faced by African farmers, offering tools for analyzing satellite images to monitor crop health, predicting pest and disease outbreaks, and automating irrigation to use water more efficiently.
AfrinovAl has implemented an artificial intelligence management system AIMS based on ISO/IEC 42001, reflecting its commitment to ethical and effective management practices in its Al solutions.
AfrinovAl is undergoing a certification audit to obtain certification against ISO/IEC 42001. Samuel, an expert in Al technologies and management systems, is heading the audit team. Before initiating the audit process, Samuel reviewed and approved the audit plan, which served as a basis for the agreement between the certification body and the auditee.
During the stage 1 audit, the audit team focused on a detailed evaluation of AfrinovAI's documented information, critically assessing both their format and content.
Samuel held a meeting with his team to prepare for the stage 2 audit. During this meeting, responsibilities were allocated among team members, assigning specific processes, functions, sites, areas, or activities based on each auditor's expertise and the audit requirements. He also assigned auditing roles to technical experts to leverage their specialized knowledge in specific areas.
In the stage 2 audit, Samuel and his team held an opening meeting during which Samuel explained how the audit activities will be undertaken. AfrinovAI's also participated in the meeting. Afterward, the audit team conducted on-site activities to closely inspect the physical locations of the audited processes. The interviewed individuals from the auditee's personnel regarding the AIMS and observed some of the operations of the auditee. They also used sampling and technical verification to assess the implementation of Al-related controls, verify compliance with established procedures, and identify any gaps in adherence to the AIMS requirements. They skipped the review of documented information related to the AIMS since some documents had already been reviewed during the stage 1 audit. This comprehensive approach ensured a thorough evaluation of AfrinovAI's AIMS against the ISO/IEC 42001.

A. Assigning team members based on their expertise
B. Assigning auditing roles to technical experts
C. Not including guides during the assignment of roles and responsibilities
D. Assigning functions based on audit scope

Answer: C

Explanation:
According to ISO 19011:2018, Clause 6.2.2 and ISO/IEC 17021-1:2015, the audit team leader should ensure that all roles and responsibilities are defined, including the need for guides or observers, especially in complex audits or when technical support is necessary.
Guides are individuals appointed by the auditee to assist the audit team - for example, to facilitate access, communication, or clarification. Not considering the inclusion of guides in the role assignment process may result in inefficiencies during the audit, especially in cross-functional or technical environments.
Reference:
ISO 19011:2018, Clause 6.2.2 - Assigning Responsibilities
ISO/IEC 17021-1:2015, Clause 9.1.6 - Use of guides and technical experts PECB ISO/IEC 42001 Lead Auditor Guide - Section: Team Coordination and Role Assignment Certainly! Below is the response to Question No. 50 from Scenario 6, presented in the required format with a detailed explanation and appropriate references.
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NEW QUESTION # 184
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. Yes, the auditor should consider the possible impact on the corresponding or similar criteria of the other management system
B. No, in such cases the auditor should always focus on the specific criterion identified
C. Yes, the auditor should consider the other criteria only if the finding is deemed significant

Answer: A

Explanation:
In combined audits (e.g., when ISO/IEC 42001 is audited alongside ISO/IEC 27001, ISO 9001, etc.), findings in one management system may affect others. ISO 19011:2018 Clause 5.5.5 recommends that auditors take a holistic view and evaluate how a finding in one standard may influence conformity with another standard - especially where there are shared or overlapping requirements (e.g., risk management, data governance, etc.).
This approach supports better integration, reduces duplication, and ensures comprehensive risk mitigation across systems.
Reference:
ISO 19011:2018 Clause 5.5.5 - Conducting audits of integrated management systems ISO/IEC 42001:2023 Clause 6.1 - Context and integration with other standards Below are Questions 71 to 74 formatted in your requested structure according to ISO/IEC 42001:2023 Artificial Intelligence Management System Lead Auditor guidelines. Each question includes the correct answer and a detailed explanation referencing the standard.
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NEW QUESTION # 185
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