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Latest Real ISO-IEC-42001-Lead-Auditor Exam, Detail ISO-IEC-42001-Lead-Auditor Explanation

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PECB ISO-IEC-42001-Lead-Auditor Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 3

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.

Topic 4

Managing an ISO
IEC 42001 audit program: This section of the exam measures the skills of an AI Compliance Officer and deals with overseeing an entire audit program. It involves managing multiple audits, tracking audit performance, and aligning audit outcomes with broader organizational goals related to AI governance.

PECB ISO/IEC 42001:2023Artificial Intelligence Management System Lead Auditor Exam Sample Questions (Q104-Q109):

NEW QUESTION # 104
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 make AI operations understandable to users and stakeholders
D. To improve the speed of AI systems

Answer: C

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

NEW QUESTION # 105
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.

A. Expert systems
B. Machine learning tool
C. Autonomous systems
D. Inductive language programming

Answer: B

Explanation:
The scenario describes an AI tool that was "known for its ability to sift through vast amounts of data with unparalleled speed and accuracy" and "was also helpful in preparing hypotheses based on data." These characteristics align most closely with machine learning technologies.
Expert systems use rule-based logic and are not typically data-driven.
Inductive programming focuses on generating programs from examples, which was not part of this audit.
Autonomous systems make independent decisions in operational environments, which doesn't apply here.
Machine learning (a subdomain of AI) includes techniques for pattern detection, anomaly detection, and hypothesis generation from data - which matches Augustine's tool.
Reference:
ISO/IEC 22989:2022 - Artificial Intelligence Concepts and Terminology
ISO/IEC 42001:2023, Clause 6.1.3 - Use of AI tools in audit processes
PECB ISO/IEC 42001 Lead Auditor Guide, Annex A - Emerging Technologies in Audits Certainly! Below is the properly formatted response to Question No. 26, in accordance with your specifications.

NEW QUESTION # 106
Question:
Which statement most accurately characterizes semantic computing?

A. It aims to close the disparity between how computers process information and how humans interpret it
B. It emphasizes purely statistical data analysis
C. It focuses on integrating diverse computational techniques capable of handling imprecision, uncertainty, and partial truth when addressing intricate problems
D. It involves acquiring and processing knowledge through reasoning, learning, perception, and other cognitive processes

Answer: A

Explanation:
Semantic computingfocuses on bridging the gap between computer data processing and human understanding by embedding meaning (semantics) into data. ISO/IEC 42001 and related AI documents (such as ISO/IEC 22989) describe semantic computing as critical in enhancing AI system outputs' interpretability and relevance to human expectations.
Reference:ISO/IEC 22989:2022 Clause 6.7 (Semantic Computing Concepts).

NEW QUESTION # 107
What should the auditor assess to verify the establishment of an internal audit program?

A. Whether there's a systematic process for planning and maintaining an audit program
B. Whether the organization conducts audits in a random manner
C. Whether internal audits are only conducted post nonconformity findings
D. Whether the auditee has general audit objectives, criteria, and scope for all the previous and upcoming audits

Answer: A

Explanation:
To verify the establishment of an internal audit program, the auditor must ensure there is a documented and systematic approach for planning, conducting, and maintaining internal audits. ISO/IEC 42001:2023 (Clause
9.2) and ISO 19011:2018 emphasize the need for audit programs to be risk-based and consistently applied - not random or ad hoc.
While general objectives and scope are important, they must be part of a structured program and planning process, making Option B the most accurate.
Reference:
ISO/IEC 42001:2023, Clause 9.2 - Internal audit program
ISO 19011:2018, Clause 5.4 - Establishing and maintaining an audit program PECB ISO/IEC 42001 Lead Auditor Guide - Chapter: Internal Audit Program Requirements
===========

NEW QUESTION # 108
During a certification audit, the audit team reviewed the defined roles and responsibilities within the auditee and conducted interviews with key personnel. They also evaluated whether the roles and responsibilities were aligned with the AI policy and objectives, examined reporting mechanisms for concerns, and reviewed the reporting frequency and response time for AI-related matters. The implementation of which control of ISO
/IEC 42001 is being verified in this case?

A. A.6 External context and stakeholder engagement
B. A.4 Resources for AI systems
C. A.3 Internal organization
D. A.5 Assessing impacts of AI systems

Answer: C

Explanation:
Control A.3 in ISO/IEC 42001:2023 focuses on the internal organization of the AI management system. This includes establishing, assigning, and communicating roles and responsibilities related to the AI system's governance and operations, aligning responsibilities with the AI policy and objectives, and establishing mechanisms for raising concerns and tracking responses.
In this case, reviewing roles, responsibilities, reporting mechanisms, and response times directly relates to verifying the implementation of A.3 Internal organization.
Reference:
ISO/IEC 42001:2023, Annex A, Control A.3 - Internal Organization
PECB ISO/IEC 42001 Lead Auditor Study Guide - Annex A Control Descriptions
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NEW QUESTION # 109
......

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