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PECB ISO-IEC-42001-Lead-Auditor Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 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
  • Fundamental audit concepts and principles: This section of the exam measures the skills of a Lead Auditor and outlines essential audit concepts such as evidence collection, impartiality, objectivity, and ethical conduct. It introduces the core principles that form the foundation of a reliable and consistent auditing process.
Topic 4
  • Fundamental principles and concepts of an AI management system: This section of the exam measures the skills of an AI Compliance Officer and covers the basic principles of artificial intelligence, including ethical use, trustworthiness, and transparency. It introduces the purpose and importance of having an AI management system in place for responsible AI governance.

PECB ISO/IEC 42001:2023Artificial Intelligence Management System Lead Auditor Exam Sample Questions (Q80-Q85):NEW QUESTION # 80
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 the population 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 expertisein 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:
During the stage 2 audit, the certification body and the company assigned the roles of technical experts. Is this acceptable?
Answer: A
Explanation:
It isacceptableif thecertification body and auditee agreeon the technical experts' roles.
* ISO/IEC 17021-1:2015 Clause 9.1.9states:"The role and involvement of technical experts must be planned and agreed between the certification body and auditee prior to their participation."
* TheLead Auditor Manualreinforces:"Technical experts provide specialized knowledge, but their roles must be coordinated through mutual agreement between certification bodies and auditees." Reference:ISO/IEC 17021-1:2015 Clause 9.1.9; ISO/IEC 42001:2023 Clause 9.2.2.

NEW QUESTION # 81
During the audit planning phase, what is the primary activity an auditor should focus on?
Answer: A
Explanation:
During theaudit planning phase, the auditor's key responsibility is toprepare audit plans, checklists, and resource allocationsto ensure an effective and efficient audit.
According toISO 19011:2018 - Clause 6.4.1, planning includes preparing the audit plan, defining the audit schedule, and ensuring that required documents, tools, and team members are ready.
ThePECB Lead Auditor Guide - Domain 4further emphasizes preparing tailoredaudit checklistsbased on ISO/IEC 42001 clauses and relevant organizational processes.
Reference: ISO 19011:2018 - Clause 6.4.1 (Planning the audit)
PECB Lead Auditor Guide - Domain 4: "Audit Planning Activities and Tools"

NEW QUESTION # 82
Scenario 7 (continued):
Scenario 7: ICure, headquartered in Bratislava, is a medical institution known for its use of the latest technologies in medical practices. Ithas introduced groundbreaking Al-driven diagnostics and treatment planning tools that have fundamentally transformed patient care.
ICure has integrated a robust artificial intelligence management system AIMS to manage its Al systems effectively. This holisticmanagement framework ensures that ICure's Al applications are not only developed but also deployed and maintained to adhere to the highest industry standards, thereby enhancing efficiency and reliability.
ICure has initiated a comprehensive auditing process to validate its AIMS's effectiveness in alignment with ISO/IEC 42001. The stage 1audit involved an on-site evaluation by the audit team. The team evaluated the site-specific conditions, interacted with ICure's personnel, observed the deployed technologies, and reviewed the operations that support the AIMS. Following these observations, the findings weredocumented and communicated to ICure. setting the stage for subsequent actions.
Unforeseen delays and resource allocation issues introduced a significant gap between the completion of stage
1 and the onset of stage2 audits. This interval, while unplanned, provided an opportunity for reflection and preparation for upcoming challenges.
After four months, the audit team initiated the stage 2 audit. They evaluated AIMS's compliance with ISO
/IEC 42001 requirements, payingspecial attention to the complexity of processes and their documentation. It was during this phase that a critical observation was made:
ICure had not fully considered the complexity of its processes and their interactions when determining the extent of documentedinformation. Essential processes related to Al model training, validation, and deployment were not documented accurately, hinderingeffective control and management of these critical activities. This issue was recorded as a minor nonconformity, signaling a need forenhanced control and management of these vital activities.
Simultaneously, the auditor evaluated the appropriateness and effectiveness of the "AIMS Insight Strategy," a procedure developed by ICure to determine the AIMS internal and external challenges. This examination identified specific areas for improvement, particularly in the way stakeholder input was integrated into the system. It highlighted how this could significantly enhance the contribution of relevant parties in strengthening the system's resilience and effectiveness.
The audit team determined the audit findings by taking into consideration the requirements of ICure, the previous audit records and conclusions, the accuracy, sufficiency, and appropriateness of evidence, the extent to which planned audit activities are realized and planned results achieved, the sample size, and the categorization of the audit findings. The audit team decided to first record all the requirements met; then they proceeded to record the nonconformities.
Based on the scenario above, answer the following question:
Question:
Based on Scenario 7, the audit team conducted a Stage 2 audit after a considerable time from Stage 1. Is this recommended?
Answer: C
Explanation:
Aminimal gapbetween Stage 1 and Stage 2 is strongly recommended.
* ISO/IEC 17021-1:2015 Clause 9.3.1.2states:"The interval between Stage 1 and Stage 2 should be short to avoid changes to system implementation or operating conditions."
* TheISO/IEC 42001 Lead Auditor Training Guiderecommendsa maximum gap of 90 days, preferably 2-3 weeks, to ensure continuity.
Reference:ISO/IEC 17021-1:2015 Clause 9.3.1.2; ISO/IEC 42001 Lead Auditor Guide Section 6 ("Audit Timing and Continuity").

NEW QUESTION # 83
Did OptiFlow comply with ISO/IEC 42001 requirements when establishing its AI objectives? Refer to Scenario 2.
Scenario 2: OptiFlow is a logistics company located in New Delhi, India. The company has enhanced its operational efficiency and customer service by integrating AI across various domains, including route optimization, inventory management, and customer support. Recognizing the importance of AI in its operations, OptiFlow decided to implement an Artificial Intelligence Management System (AIMS) based on ISO/IEC 42001 to oversee and optimize the use of AI technologies.
To address Clauses 4.1 and 4.2 of the standard, OptiFlow identified and analyzed internal and external issues and needs and expectations of interested parties. During this phase, it identified specific risks and opportunities related to AI deployment, considering the system's domain, application context, intended use, and internal and external environments. Central to this initiative was the establishment and maintenance of AI risk criteria, a foundational step that facilitated comprehensive AI risk assessments, effective risk treatment strategies, and precise evaluations of risk impacts. This implementation aimed to meet AIMS's objectives, minimize adverse effects, and promote continuous improvement. OptiFlow also planned and integrated strategies to address risks and opportunities into AIMS's processes and assessed their effectiveness.
OptiFlow set measurable AI objectives aligned with its AI policy across all organizational levels, ensuring they met applicable requirements and matched the company's vision. The company placed strong emphasis on the monitoring and communication of these objectives, ensuring they were updated annually or as needed to reflect changes in technology, market demands, or internal processes. It also documented the objectives, making them accessible across the company.
To guarantee a structured and consistent AI risk assessment process, OptiFlow emphasized alignment with its AI policy and objectives. The process included ensuring consistency and comparability, identifying, analyzing, and evaluating AI risks.
OptiFlow prioritizes its AIMS by allocating the necessary resources for its comprehensive development and continuous enhancement. The company carefully defines the competencies needed for personnel affecting AI performance, ensuring a high level of expertise and innovation.
OptiFlow also manages effective internal and external communications about its AIMS, aligning with ISO
/IEC 42001 requirements by maintaining and controlling all required documented information. This documentation is meticulously identified, described, and updated to ensure its relevance and accessibility.
Through these strategic efforts, OptiFlow upholds a commitment to excellence and leadership in AI management practices.
To comply with Clause 9 of ISO/IEC 42001, the company determined what needs to be monitored and measured in the AIMS. It planned, established, implemented, and maintained an audit program, reviewed the AIMS at planned intervals, documented review results, and initiated a continuous feedback mechanism from all interested parties to identify areas of improvement and innovation within the AIMS
Answer: A
Explanation:
ISO/IEC 42001:2023 Clause 6.2 requires organizations to:
* Establish AI objectives that are measurable and aligned with the AI policy.
* Ensure objectives are monitored, communicated, and updated as appropriate.
* Take into account applicable requirements, risks, opportunities, and system changes.
In the scenario:
* OptiFlow defined measurable AI objectives aligned with the AI policy.
* Objectives were updated annually or as needed - satisfying the "as appropriate" update condition.
* The company ensured communication and accessibility of objectives across the organization.
Option A is incorrect - the standard does not mandate biannual updates.
Option C is also incorrect - although environmental impact may be considered depending on organizational context, it is not mandated for all AI objectives.
Reference:
* ISO/IEC 42001:2023, Clause 6.2 - AI objectives and planning
* PECB ISO/IEC 42001 Lead Auditor Study Guide, Chapter 6.2
===========

NEW QUESTION # 84
What is the right series of AI system lifecycle?
Answer: A
Explanation:
The correct lifecycle sequence for an AI system as outlined inISO/IEC 42001:2023and supporting lifecycle methodologies (such as those influenced by ISO/IEC/IEEE 15288 and ISO/IEC TR 24028) is:
* System Requirements & Specification Finalization
* System Design & Development
* System Verification & Validation
* System Deployment
* System Operation & Monitoring
This lifecycle ensures that all AI systems are planned, built, tested, and monitored effectively to address functional, ethical, and risk management objectives.
The standard encourages applying astructured lifecycle approachto ensure that AI systems meet organizational goals and stakeholder expectations throughout their operational period.
Reference: ISO/IEC 42001:2023 - Clause 8.2.2 (AI system lifecycle requirements) PECB Lead Auditor Guide - Domain 1: Section on "AI Lifecycle Phases and Management" Also aligned with ISO/IEC TR 24028:2020 - Overview of trustworthiness in AI

NEW QUESTION # 85
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