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ISO-IEC-42001-Lead-Auditor Exam Engine, ISO-IEC-42001-Lead-Auditor Reliable Exam Simulations

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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

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.

PECB ISO/IEC 42001:2023Artificial Intelligence Management System Lead Auditor Exam Sample Questions (Q10-Q15):

NEW QUESTION # 10
What is the main goal of the 'Transparency and Explainability' core element in AI?

A. To reduce the cost of AI development
B. To ensure AI systems are user-friendly
C. To improve the speed of AI systems
D. To make AI operations understandable to users and stakeholders

Answer: D

Explanation:
The principle ofTransparency and Explainabilityis designed to ensure thatusers and stakeholders can understand how AI systems function, how decisions are made, and what data is used.
ISO/IEC 42001:2023 emphasizes that transparency enablestraceability, clarity of design choices, and auditability, while explainability provides insights intohow outputs are generated, especially for high-risk or critical applications.
In practical terms, this principle supports:
* Buildingtrustin AI systems
* Ensuringregulatory compliance
* Facilitatinginformed decision-making
Reference: ISO/IEC 42001:2023 - Clause 6.1.2 (AI risk identification), and 8.2.3 (Operational planning and control) PECB Lead Auditor Guide - Domain 1: "Transparency and Explainability" as a core ethical value of AI

NEW QUESTION # 11
What type of evidence is an external audit report?

A. Technical
B. Analytical
C. Physical
D. Confirmative

Answer: D

Explanation:
Anexternal audit reportis a form ofconfirmative evidence, as it providesthird-party verificationor validation of conformance to specified criteria.
According to the PECB Lead Auditor Guide - Domain 3,confirmative evidenceincludesdocuments like certifications, prior audit results, regulatory reports, and third-party assessments.
Such evidence supports or corroborates the auditor's findings and helps build confidence in the audit conclusions - especially when reviewingAI systems that may require external validation for ethical or technical robustness.
Reference: PECB Lead Auditor Guide - Domain 3: "Types of Audit Evidence," Table: Types of Evidence (confirmative vs physical vs analytical) ISO 19011:2018 - Clause 6.4.5 (Collecting information), which recognizes external records as valid sources of evidence

NEW QUESTION # 12
The certification body did not include all departments covered by the AIMS scope in the audit scope. Is this acceptable? Refer to Scenario 5.
Scenario 5: Alterhealth is a mid-sized technology firm based in Toronto. Canada. It develops Al systems for healthcare providers, focusing on improving patient care, optimizing hospital workflows, and analyzing healthcare data for insights that can improve health outcomes.
To ensure responsible and effective use of Al in its
operations, Alterhealth 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 to obtain certification against ISO/IEC 42001.
The company contracted a certification body to conduct the audit, who assembled the audit team and appointed the audit team leader. The audit team leader had conducted a certification audit at Alterhealth in the past. The top management of Alterhealth decided to reject the appointment of this auditor because they believed that they would not receive added value from the audit. In response, the certification body appointed Jonathan, an independent auditor with no prior engagements with Alterhealth, as the new audit team leader. Jonathan's introduction marked the beginning of a collaborative process aimed at evaluating the conformity of the AIMS to ISO/IEC 42001 requirements.
The certification body determined the audit scope, which included only specific departments essential to the integration and application of Al, such as the Al Research, Machine Learning Applications, and Al Ethics and Compliance Departments, and did not cover all of the departments covered by the AIMS scope. Meanwhile, Alterhealth determined the audit time, setting the necessary time frame for planning and conducting a thorough and effective review to ensure all aspects of the AIMS within the selected departments were meticulously reviewed.
Afterward, Jonathan received a detailed offer from the certification body, outlining his role and including information related to the audit, such as the audit's duration, team members, their responsibilities, the limits to the audit engagement, and their salary compensation. With a clear mandate, Jonathan was tasked with a multitude of responsibilities: defining the audit objectives and criteria, planning the audit process, identifying and addressing audit risks, managing communication with Alterhealth, overseeing the audit team, and ensuring a smooth and conflict free execution.
With Jonathan's leadership and a well-defined audit framework in place, the certification audit proceeded with a structured and objective evaluation of Alterhealth's AIMS.

A. No, the audit scope must include all of the auditee's departments part of the AIMS scope
B. No, the audit scope must cover all of the auditee's departments regardless of whether they are included in the AIMS scope
C. Yes, the audit scope does not necessarily include all of the auditee's departments covered by the AIMS scope
D. Yes, if it is a Stage 1 audit only

Answer: A

Explanation:
According to ISO/IEC 17021-1:2015 and ISO/IEC 42001:2023, the audit scope for a certification audit must fully align with the scope of the management system (in this case, the AIMS). If certain departments are included in the AIMS scope, they must be part of the certification audit scope.
In Scenario 5, it is stated: "The certification body determined the audit scope... and did not cover all of the departments covered by the AIMS scope." This is not acceptable, as omitting departments within the declared AIMS scope can result in an incomplete and non-representative audit, violating ISO 17021-1 guidance.
Reference:
ISO/IEC 17021-1:2015, Clause 9.1.2 - Audit scope must be consistent with certification scope ISO/IEC 42001:2023, Clause 4.3 - Determining the scope of the AIMS PECB ISO/IEC 42001 Lead Auditor Study Guide - Chapter: Audit Scope and Planning
-

NEW QUESTION # 13
Which control in Annex A of ISO 42001:2023 focuses on the need for stakeholder engagement in AI system development?

A. Stakeholder Consultation
B. Data Management
C. Continuous Improvement
D. Risk Assessment

Answer: A

Explanation:
Annex A - Control A.5.2.2: Stakeholder Consultationexplicitly requires organizations toconsult with relevant stakeholders(such as users, impacted communities, regulators, etc.) during the development and operation of AI systems.
This control emphasizes the importance of engaging stakeholders toidentify expectations, values, ethical concerns, and social impact risksassociated with the AI system.
Stakeholder engagement supports transparency, ethical alignment, and social acceptability of AI solutions.

NEW QUESTION # 14
A healthcare provider wants to develop a system that can analyze medical images, such as X-rays and MRIs, to assist doctors in diagnosing diseases. Which AI concept is most relevant for this application?

A. Computer Vision
B. Natural Language Processing (NLP)
C. Machine Learning (ML)
D. Deep Learning (DL)

Answer: A

Explanation:
The AI concept most relevant for analyzingvisual data like X-rays and MRIsisComputer Vision. This field focuses on enabling machines tounderstand and interpret image and video data.
As outlined in thePECB Lead Auditor Guide - Domain 1, Computer Vision is specifically applied in medical imaging, object detection, facial recognition, and other tasks requiring interpretation of visual content.
WhileDeep Learningmay be used as an underlying technique (e.g., convolutional neural networks), Computer Visionis the broader and correct domain applicable to the question.
Reference: PECB Lead Auditor Guide - Domain 1: "AI Technologies and Use Cases" ISO/IEC 42001:2023 - Clause 8.2.3 (Selecting suitable AI approaches based on purpose and data types)

NEW QUESTION # 15
......

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