ISO-IEC-42001-Lead-Auditor PDF Dumps Sep 27, 2026 Recently Updated Questions [Q116-Q131]

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ISO-IEC-42001-Lead-Auditor PDF Dumps | Sep 27, 2026 Recently Updated Questions

ISO-IEC-42001-Lead-Auditor Exam Questions – Valid ISO-IEC-42001-Lead-Auditor Dumps Pdf

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
  • 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 3
  • 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.
Topic 4
  • Preparing an ISO
  • IEC 42001 audit: This section of the exam measures the skills of a Lead Auditor and covers how to plan and prepare for an AI management system audit. It includes creating audit plans, selecting team members, and setting clear objectives to ensure a smooth audit process.

 

Q116. Scenario 5 (continued):
Scenario 5: Aizoia, located in Washington, DC, has revolutionized data analytics, software development, and consulting by using advanced Al algorithms. Central to its success is an Al platform adept at deciphering complex datasets for enhanced insights. To ensure that its Al systems operate effectively and responsibly, Aizoia has established an artificial intelligence management system AIMS based on ISO/IEC 42001 and is now undergoing a certification audit to verify the AIMS’s effectiveness and compliance with ISO/IEC 42001.
Robert, one of the certification body’s full-time employees with extensive experience in auditing, was appointed as the audit team leader despite not receiving an official offer for the role. Understanding the critical importance of assembling an audit team with diverse skills and knowledge, the certification body selected competent individuals to form the audit team. The certification body appointed a team of seven members to conduct the audit after considering the specific conditions of the audit mission and the required competencies.
Initially, the certification body, in cooperation with Aizoia, defined the extent and boundaries of the audit, specifying the sites (whether physical or virtual), organizational units, and the activities for review. Once the scope, processes, methods, and team composition had been defined, the certification body provided the audit team leader with extensive information, including the audit objectives and documented details on the scope, processes, methods, and team compositions.
Additionally, the certification body shared contact details of the auditee, including locations, time frames, and the duration of the audit activities to be conducted. The team leader also received information needed for evaluating and addressing identified risks and opportunities for the achievement of the audit objectives.
Before starting the audit, Robert wrote an engagement letter, introducing himself to Aizoia and outlining plans for scheduling initial contact. The initial contact aimed to confirm the communication channels, establish the audit team’s authority to conduct the audit, and summarize the audit’s key aspects, such as objectives, scope, criteria, methods, and team composition. During this first meeting, Robert emphasized the need for access to essential information that would help to conduct the audit.
Moreover, audit logistics, such as scheduling, access, health and safety arrangements, observer attendance, and the need for guides or interpreters, were thoroughly planned. The meeting also addressed areas of interest or concern, preemptively resolving potential issues and finalizing any matters related to the audit team composition.
As the audit progressed, Robert recognized the complexity of Aizoia’s operations, leading him to conclude that a review of its Al-related data governance practices was essential for compliance with ISO/IEC 42001.
He discussed this need with Aizoia’s management, proposing an expanded audit scope. After careful consideration, they agreed to conduct a thorough review of the Al data governance practices, but there was no mutual decision to officially change the audit scope. Consequently. Robert decided to proceed with the audit based on the original scope, adhering to the initial audit plan, and documented the conversation and decision accordingly.
Based on the scenario above, answer the following question:
Question:
Based on Scenario 5, did the certification body provide all the necessary information to conduct the audit to the audit team leader?

 
 
 

Q117. 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?

 
 
 

Q118. Which core element emphasizes that AI systems should be designed to avoid bias and ensure fair treatment for all individuals?

 
 
 
 

Q119. Which statement regarding the confidentiality of documented information related to or collected from the auditee is NOT accurate?

 
 
 
 

Q120. What does ISO 19011 provide?

 
 
 
 

Q121. Scenario 4:
BioNovaPharm, a German biopharmaceutical company, has implemented an artificial intelligence management system AIMSbased on ISO/IEC 42001 to optimize various aspects of drug discovery, including analyzing extensive biological data, identifying potentialdrug candidates, and streamlining clinical trial processes. After having the AIMS in place for over a year, the company contracted acertification body and is now undergoing an AIMS audit to obtain certification against ISO/IEC 42001.
Adopting a risk-based approach, the audit team focused on risk throughout their activities. The level of detail outlined in the audit plancorresponded to the scope and complexity of the audit. The team employed a ranking system for detailed audit procedures, prioritizingthose with the highest risk.
Once the stage 1 audit began, the audit team started reviewing the auditee’s documented information. To assess whether BioNovaPharmcomplies with the legal and regulatory requirements related to incident communication, the audit team examined evidence provided bythe company’s external legal office. The evidence confirmed that BioNovaPharm applies the requirements of the EU Al Act, whichmandates that providers of high-risk Al systems report serious incidents to relevant authorities.
Following the completion of the stage 1 audit, John, an audit team member, documented the stage 1 audit outputs, including theobservations of the audit team that could result in nonconformities during the on-site audit. However, the audit team leader, Emma, whowas overseeing the audit activities, observed that John failed to document significant observations related to the lack oftransparency inthe Al decision-making processes of BioNovaPharm. Considering that Emma observed John’s lack of competence in undertaking some audit activities, a disciplinary note was recorded for John.
Question:
What type of evidence did the audit team obtain to assess BioNovaPharm’s compliance with legal and regulatory incident reporting requirements?

 
 
 
 

Q122. How are auditors expected to handle conflicts of interest during an audit?

 
 
 
 

Q123. Which among the following is NOT a core element of AIMS?

 
 
 
 

Q124. A social media platform wants to automatically detect and remove inappropriate content from images and videos uploaded by users. Which AI concept is most appropriate for this task?

 
 
 
 

Q125. Scenario 8 (continued):
Scenario 8:
Scenario 8: InnovateSoft, headquartered in Berlin, Germany, is a software development company known for its innovative solutions andcommitment to excellence. It specializes in custom software solutions, development, design, testing, maintenance, and consulting,covering both mobile apps and web development.
Recently, the company underwent an audit to evaluate the effectiveness and compliance of its artificial intelligence management system AIMS against ISO/IEC 42001.
The audit team engaged with the auditee to discuss their findings and observations during the audit’s final phases. After evaluating theevidence, the audit team presented their audit findings to InnovateSoft, highlighting the identified nonconformities.
Upon receiving the audit findings, InnovateSoft accepted the conclusions but expressed concerns about some findings inaccuratelyreflecting the efficiency of their software development processes. In response, the company provided new evidence and additionalinformation to alter the audit conclusions for a couple of minor nonconformities identified. After thorough consideration, the audit teamleader clarified that the new evidence did not significantly alter the core conclusions drawn for the nonconformities. Therefore, thecertification body issued a certification recommendation conditional upon the filing of corrective action plans without a prior visit.
InnovateSoft accepted the decision of the certification body. The top management of the company also sought suggestions from theaudit team on resolving the identified nonconformities. The audit team leader offered solutions to address the issues, fostering acollaborative effort between the auditors and InnovateSoft.During the closing meeting, the audit team covered key topics to enhance transparency. They clarified to InnovateSoft that the auditevidence was based on a sample, acknowledging the inherent uncertainty. The method and time frame of reporting and grading findingswere discussed to provide a structured overview of nonconformities. The certification body’s process for handling nonconformities,including potential consequences, guided InnovateSoft on corrective actions. The time frame for presenting a plan for correction was communicated, emphasizing urgency. Insights into the certification body’s post-audit activities were provided, ensuring ongoing support.
Lastly, the audit team briefed InnovateSoft on complaint and appeal handling.
InnovateSoft submitted the action plans for each nonconformity separately, describing only the detected issues and the correctiveactions planned to address the detected nonconformities. However, the submission slightly exceeded the specified period of 45 days setby the certification body, arriving three days later.
InnovateSoft explained this by attributing the delay to unexpected challengesencountered during the compilation of the action plans.
InnovateSoft submitted corrective action plans for nonconformities three days past the certification body’s deadline of 45 days.
Question:
Based on Scenario 8, is InnovateSoft eligible for certification?

 
 
 

Q126. Audit evidence must be:

 
 
 
 

Q127. 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.

 
 
 
 

Q128. An auditor is reviewing an AI system used for hiring processes at a tech company and discovers that the system disproportionately rejects candidates from certain ethnic backgrounds. The auditor previously consulted for this company on diversity strategies. Which management system auditing principle (as per ISO 19011) is at risk of being compromised in this scenario?

 
 
 
 

Q129. What is the purpose of conducting an opening meeting in the audit process?

 
 
 
 

Q130. Question:
During an audit, the auditor employed data analytic technology to identify anomalies and unusualpatterns in the decision-making processes of an AI system used by a financial institution to approve or reject loan applications. Which data analytic technology did the auditor use?

 
 
 
 

Q131. Based on scenario 3, which of the following AI technologies did Augustine utilize to analyze large datasets?
Refer to the fourth paragraph.
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.

 
 
 
 

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