ISO-IEC-42001-LEAD-AUDITOR TESTDUMP & ISO-IEC-42001-LEAD-AUDITOR TEST REGISTRATION

ISO-IEC-42001-Lead-Auditor Testdump & ISO-IEC-42001-Lead-Auditor Test Registration

ISO-IEC-42001-Lead-Auditor Testdump & ISO-IEC-42001-Lead-Auditor Test Registration

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

TopicDetails
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
  • 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 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.

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ISO-IEC-42001-Lead-Auditor Testdump - Free PDF Quiz 2025 ISO-IEC-42001-Lead-Auditor: ISO/IEC 42001:2023Artificial Intelligence Management System Lead Auditor Exam First-grade Test Registration

You don't need to install any separate software or plugin to use it on your system to practice for your actual ISO/IEC 42001:2023Artificial Intelligence Management System Lead Auditor Exam (ISO-IEC-42001-Lead-Auditor) exam. PECB web-based practice software is supported by all well-known browsers like Chrome, Firefox, Opera, Internet Explorer, etc.

PECB ISO/IEC 42001:2023Artificial Intelligence Management System Lead Auditor Exam Sample Questions (Q111-Q116):

NEW QUESTION # 111
Which core element focuses on ensuring that the creators and operators of AI systems are responsible for the outcomes and impacts of those systems?

  • A. Accountability
  • B. Safety and Reliability
  • C. Fairness and Non-Discrimination
  • D. Privacy and Security

Answer: A

Explanation:
Accountabilityis the core principle that ensures individuals or organizations involved in thedesign, development, and deploymentof AI systems areresponsible for their outcomes, decisions, and impacts.
According toISO/IEC 42001:2023 - Clause 5.3andClause 6.1.2, accountability requires organizations to define roles and responsibilities, ensure that systems are monitored for risks, and establishescalation or remediation procedureswhen negative impacts occur.
ThePECB Lead Auditor Guide - Domain 1highlights accountability as a key requirement for maintaining trust, legal compliance, and ensuring AI systems operate under clear lines ofgovernance and oversight.


NEW QUESTION # 112
Question:
Which of the following does NOT constitute an appropriate technology requirement for virtualaudits between the auditee and audit team?

  • A. Performing pre-audit technical assessments
  • B. Ensuring contingency plans are available and communicated
  • C. Conducting a trial run of the audit process using the selected technology

Answer: C

Explanation:
While helpful,a trial run of the full auditis not a standardrequirementfor virtual audits.
* ISO/IEC 17021-1:2015 Clause 9.2.3.1requires virtual audit feasibility to be confirmed in advance - including connectivity, security, and data access - buttrial runs are optional, not mandated.
* ISO 19011:2018 Clause 6.4.5adds that"pre-audit assessments and contingency planning must be conducted for remote audits to ensure audit reliability." Reference:ISO/IEC 17021-1:2015 Clause 9.2.3.1; ISO 19011:2018 Clause 6.4.5.


NEW QUESTION # 113
Which core element emphasizes that AI systems should be designed to avoid bias and ensure fair treatment for all individuals?

  • A. Fairness and Non-Discrimination
  • B. Accountability
  • C. Transparency and Explainability
  • D. Human-Centered Design

Answer: A

Explanation:
The principle ofFairness and Non-Discriminationis one of the core ethical and governance pillars emphasized inISO/IEC 42001:2023, especially inClause 4.2 (Understanding the needs and expectations of interested parties)andClause 6.1 (Actions to address risks and opportunities)where ethical risks related to AI systems are assessed.
According to the standard and accompanying PECB training guide, fairness is defined as ensuring thatAI systems do not create or perpetuate bias, and that individuals and groups aretreated equitably, with measures in place to detect and mitigate discrimination. This is often embedded in risk assessments and operational controls when managing AI systems.
In ISO/IEC 42001, organizations are required to considerethical, legal, and societal impactsof their AI systems, andFairness and Non-Discriminationis a key tenet oftrustworthy AI.
Reference: ISO/IEC 42001:2023, Clauses 4.2, 6.1.2, and 8.2.3
PECB Lead Auditor Course Guide, Section on "Ethical Principles of AI," Subsection: Fairness and Non- Discrimination


NEW QUESTION # 114
Audit evidence must be:

  • A. Physical
  • B. Refutable
  • C. Structured
  • D. Verifiable

Answer: D

Explanation:
Audit evidencemust beobjective and verifiable, meaning that it can beconfirmed through observation, documentation, or reproducible results. This is a foundational principle of auditing as per:
* ISO 19011:2018 - Clause 3.8defines audit evidence as "records, statements of fact or other information which arerelevant to the audit criteria and verifiable."
* This principle is also emphasized in ISO/IEC 42001 during internal audits (Clause 9.2), ensuring that conclusions are based onfactual, traceable, and confirmabledata.
Verifiability ensures the credibility and reliability of audit findings, especially critical in evaluating AIMS due to the complexity and potential subjectivity of AI behaviors.
Reference: ISO 19011:2018 - Clause 3.8; Principle of evidence-based approach ISO/IEC 42001:2023 - Clause 9.2.2 (Internal audit process) PECB Lead Auditor Guide - Domain 3: "Audit Evidence and Findings"


NEW QUESTION # 115
A financial institution uses an AI system to approve loan applications. Recently, there have been complaints that the system disproportionately denies loans to applicants from certain minority groups.
Which core element should the institution prioritize to address these complaints?

  • A. Fairness and Non-Discrimination
  • B. Accountability
  • C. Transparency and Explainability
  • D. Privacy and Security

Answer: A

Explanation:
The most relevant core principle here isFairness and Non-Discrimination. This principle aims to ensure that AI systems do notcreate or perpetuate bias, especially in high-stakes decision-making areas such as financial services.
According toISO/IEC 42001:2023 - Clause 6.1.2andAnnex A (A.8.2.4), organizations must evaluate and manage risks related tobias, discrimination, and ethical implicationsof AI decisions.
In thePECB Lead Auditor Guide, Fairness is cited as critical in sectors likefinance, hiring, healthcare, and where decisions may adversely impact protected groups.


NEW QUESTION # 116
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