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PECB ISO-IEC-42001-Lead-Auditor Exam With Confidence Using Practice Dumps

Exam Code:
ISO-IEC-42001-Lead-Auditor
Exam Name:
ISO/IEC 42001:2023 Artificial Intelligence Management System Lead Auditor Exam
Vendor:
Questions:
198
Last Updated:
Aug 23, 2026
Exam Status:
Stable
PECB ISO-IEC-42001-Lead-Auditor

ISO-IEC-42001-Lead-Auditor: AI management system (AIMS) Exam 2025 Study Guide Pdf and Test Engine

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ISO/IEC 42001:2023 Artificial Intelligence Management System Lead Auditor Exam Questions and Answers

Question 1

An audit team member is tasked with evaluating a sophisticated AI system used for autonomous driving. They lack the necessary expertise but proceed without consulting a specialist. Which principle is being neglected in this scenario?

Options:

A.

Confidentiality

B.

Independence

C.

Integrity

D.

Due Professional Care

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Question 2

Scenario 6 (continued):

Scenario 6: HappilyAI is a pioneering enterprise dedicated to developing and deploying artificial intelligence Al solutions tailored to enhance 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 and innovation, 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 groundwork for the extensive on-site activities of the stage 1 audit. This initial phase was marked by a comprehensive documentation review. The audit scope encompassed a critical review of HappilyAI's core departments, including Research and Development (R&D), Customer Service, 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 audit activities. The meeting set a collaborative tone for the subsequent phases, where the team engaged in information collection, executed audit 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 to ensure a comprehensive and representative data collection by drawing samples from each segment. Furthermore, the team employed observation 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 these tools effectively identify and respond to errors or anomalies. However, a notable challenge emerged as the team encountered a lack of access to documented information that describes how tasks about AIMS are executed. In addition to this, the team identified a potential nonconformity within the Sales Department. They decided not to record this as a nonconformity in the audit report but only communicated 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 audit team. Recognized for their specialized knowledge and expertise in artificial intelligence and its applications, these technical experts are tasked 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:

Which observation types did the audit team use to enhance their understanding of the AI management processes?

Options:

A.

Qualitative and quantitative

B.

Statistical and methodical

C.

General and detailed

Question 3

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.

Which of the following requirements of Clause 6.1.2 AI risk assessment did OptiFlow NOT consider?

Options:

A.

Documentation

B.

Cost minimization

C.

AI risk treatment