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[General] Latest PECB ISO-IEC-42001-Lead-Auditor Test Cost & ISO-IEC-42001-Lead-Audito

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【General】 Latest PECB ISO-IEC-42001-Lead-Auditor Test Cost & ISO-IEC-42001-Lead-Audito

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PECB ISO-IEC-42001-Lead-Auditor Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • Closing an ISO
  • IEC 42001 audit: This section of the exam measures the skills of an AI Compliance Officer and explains how to complete the audit process. It includes reporting findings, managing nonconformities, and conducting follow-ups to ensure continuous improvement and compliance.
Topic 5
  • 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.

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PECB ISO/IEC 42001:2023Artificial Intelligence Management System Lead Auditor Exam Sample Questions (Q154-Q159):NEW QUESTION # 154
Scenario 1 (continued):
To ensure the integrity of the AI system, Future Horizon Academy has implemented measures to ensure that training data remain isolated from data that could lead to harmful or undesirable outcomes. The institution adds significant data elements as metadata, transforms the data into a format usable by the AI system, and uses data from one or more trusted sources.
Committed to standardization and continual improvement, Future Horizon Academy decided to implement an artificial intelligence management system (AIMS) based on ISO/IEC 42001 that would help the institution increase operational efficiency, resulting in improved processes.
After having the AIMS in place for a year, the institution decided to apply for a certification audit to get certified against ISO/IEC 42001. Prior to the certification audit, the institution conducted an internal audit and management review to ensure that the AIMS aligns with the institution's own requirements and that the system is being maintained effectively.
Question:
Based on Scenario 1, which of the following processes regarding data did Future Horizon Academy NOT conduct?
  • A. Data acquisition
  • B. Data annotation
  • C. Data verification
  • D. Data augmentation
Answer: D
Explanation:
The scenario clearly mentions acquiring, transforming, and verifying data but doesnot mention data augmentation(the process of creating additional data samples). According to ISO/IEC 42001 Clause 8.3 (Data Management), data augmentation must be deliberately planned and documented, and it is not referenced here.Reference:ISO/IEC 42001:2023 Clause 8.3 (Operational Planning and Control).

NEW QUESTION # 155
An AI system is being developed to assist elderly people in their daily activities. The system needs to be intuitive and align with the needs and values of its users. Which core element of AI should guide the design and development of this AI system?
  • A. Accountability
  • B. Transparency and Explainability
  • C. Fairness and Non-Discrimination
  • D. Human-Centered Design
Answer: D
Explanation:
The correct guiding principle in this scenario isHuman-Centered Design. This principle is explicitly emphasized inISO/IEC 42001:2023, particularly in the context of aligning AI systems withhuman needs, values, and well-being.
Human-Centered Design ensures that the AI system is designed with afocus on users, particularly vulnerable populations like the elderly. The AI should be intuitive, inclusive, and usable while enhancing human capabilities.
In ISO/IEC 42001:2023:
* Clause 4.2 (Understanding the needs and expectations of interested parties)requires that systems consider stakeholders, particularly end users, when defining system requirements.
* Clause 6.1.2 (AI risk identification and assessment)andClause 8.2.3 (Operational planning and control)reinforce designing systems that respect and respond to human diversity and usability needs.
ThePECB Lead Auditor Guide - Domain 1lists Human-Centered Design as one of thefoundational AI principlesessential for promoting trust, accessibility, and adoption among users - especially those with specific assistance needs.

NEW QUESTION # 156
What among the below list of steps comes before the other ones in the management system audit process?
  • A. Initiating the audit
  • B. Performing document review
  • C. Preparing the audit report
  • D. Conducting the opening meeting
Answer: A
Explanation:
The first step in the audit process is Initiating the audit.
As per ISO 19011:2018 - Clause 6.3, initiating the audit involves activities such as appointing the audit team, defining the audit scope and objectives, and communicating with the auditee to set expectations.
After initiation, the auditor proceeds with document review, followed by the opening meeting, and then moves into audit execution and reporting.
Reference: ISO 19011:2018 - Clause 6.3 (Initiating the audit)
PECB Lead Auditor Guide - Domain 4: "Audit Lifecycle and Step-by-Step Process"

NEW QUESTION # 157
Scenario:
UrDesign, an interior design company, has recently decided to use machine learning for classification, regression tasks, and more complex tasks related to structured prediction.
Question:
What category of machine learning did UrDesign decide to use?
  • A. Reinforcement learning
  • B. Unsupervised machine learning
  • C. Supervised machine learning
  • D. Semi-supervised machine learning
Answer: C
Explanation:
Supervised machine learning involves learning from labeled data, where tasks include classification and regression-exactly matching the description given. ISO/IEC 22989:2022 (Clause 6.5) defines supervised learning accordingly.
Reference: ISO/IEC 22989:2022, Clause 6.5 (Machine Learning Categories).

NEW QUESTION # 158
Based on ISO/IEC 42001, which of the following is NOT one of the factors that an organization must consider when determining the risks and opportunities related to an AI system?
  • A. The domain and application context of the AI system
  • B. The intended use of the AI system
  • C. The specific algorithms used to develop the AI system
Answer: C
Explanation:
According to Clause 6.1.1 and 6.1.2 of ISO/IEC 42001:2023, when determining risks and opportunities, an organization must consider:
The intended use of the AI system
The domain (industry/field) and application context
External and internal issues
Stakeholder expectations and compliance obligations
However, the specific algorithms used (e.g., neural networks, decision trees, etc.) are not explicitly mandated as a factor for risk determination under these clauses. Algorithm selection may influence risk indirectly but is considered part of technical implementation, not a direct requirement under ISO/IEC 42001's risk-based planning.
Thus, Option C is the correct answer - it's not a primary or required factor listed in the standard's risk identification process.
Reference:
ISO/IEC 42001:2023, Clause 6.1.1 - Actions to address risks and opportunities ISO/IEC 42001:2023, Clause 6.1.2 - AI risk assessment PECB ISO/IEC 42001 Lead Auditor Guide, Chapter 6 - Risk-based approach to AI

NEW QUESTION # 159
......
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