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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:
Apr 14, 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

Question:

Which of the following describes a joint audit?

Options:

A.

When two or more auditing organizations cooperate to audit a single auditee

B.

When two or more management systems are audited together at a single auditee

C.

When an internal audit and a third-party audit are conducted simultaneously

D.

When audits are conducted back-to-back for efficiency

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Question 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.

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

Question 3

Scenario 4: Finalogic leads the application of artificial intelligence in the financial services sector, which is used to improve risk assessment, fraud detection, and customer service. The company has implemented an artificial intelligence management system (AIMS) based on ISO/IEC 42001 to ensure operational quality, ethical AI use, regulatory compliance, and transparency, allowing for consistent oversight and structured governance.

This month, Finalogic is undergoing an audit to obtain certification against ISO/IEC 42001, a critical step in demonstrating its commitment to responsible AI. To evaluate Finalogic's conformity to the audit criteria, the audit team adopted a comprehensive, evidence-based approach. The gathered evidence ranged from analyses of unquantifiable information to analyses of samples related to determining the audit criteria—including internal reports generated by Finalogic's own AI system—which assert successful integration and compliance with the standard.

Additionally, presentations by the company’s AI team during the audit highlighted the system’s success in customer service enhancements and fraud detection, emphasizing improved efficiency, decision-making accuracy, and user trust. An evaluation report prepared by an independent third-party firm specializing in AI systems also provided an objective review of Finalogic's AIMS. It assessed the system's effectiveness, bias, and compliance through a thorough examination.

During the audit, the audit team applied the same level of effort and utilized the same techniques across all audit areas, regardless of their risk level. This strategy ensured a consistent and thorough evaluation of the AIMS, uncovering any latent weaknesses or inefficiencies that might otherwise go unnoticed.

Despite Finalogic's advanced AIMS and adherence to ISO/IEC 42001 for ethical AI practices, there remains a risk of AI algorithms inadvertently perpetuating bias or making inaccurate predictions due to unforeseen flaws in training data or algorithmic models. This could lead to unfair loan rejections or approvals, potentially causing financial losses or damaging the company’s reputation for fairness and accuracy in its financial services. By acknowledging these risks, Finalogic remains committed to refining its AI governance, implementing bias mitigation strategies, and enhancing transparency to uphold its reputation as a leader in AI-driven financial services.

What type of audit is Finalogic undergoing?

Options:

A.

First party

B.

Second party

C.

Third party

D.

Internal review