PASS PECB ISO-IEC-42001-LEAD-AUDITOR EXAM EASILY WITH QUESTIONS AND ANSWERS

Pass PECB ISO-IEC-42001-Lead-Auditor Exam Easily With Questions And Answers

Pass PECB ISO-IEC-42001-Lead-Auditor Exam Easily With Questions And Answers

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PECB ISO/IEC 42001:2023Artificial Intelligence Management System Lead Auditor Exam Sample Questions (Q34-Q39):

NEW QUESTION # 34
How does ISO 19011 recommend auditors select audit criteria?

  • A. By choosing criteria that are easiest to measure
  • B. Based on the organization's industry reputation
  • C. According to the requirements of the management system standards and objectives
  • D. By using random selection methods

Answer: C

Explanation:
Audit criteria should be selectedaccording to the requirements of the management system standard (e.g., ISO/IEC 42001:2023)and theorganization's objectives.
PerISO 19011:2018 - Clause 5.4.2, audit criteria must be defined based onstandards, statutory requirements, internal policies, procedures, and contractual obligationsrelevant to the audit.
Random selection or convenience-based criteria are not acceptable in professional audit practice.


NEW QUESTION # 35
Why is it important to have a clear and agreed audit scope?

  • A. To reduce the time required for the audit
  • B. To ensure all aspects of the management system are audited
  • C. To maintain confidentiality of audit findings
  • D. To prevent any legal liabilities

Answer: B

Explanation:
Aclear and agreed audit scopeensures that the audit willadequately cover all relevant areas of the AI Management Systemand that the audit team understands:
* Boundaries of the audit(departments, processes, AI systems)
* Objectives and criteria
* Whatmust be included or excluded
As perISO 19011:2018 - Clause 5.2, determining the audit scope is critical to ensuring theaudit is effective, relevant, and complete. Similarly, inISO/IEC 42001:2023 - Clause 9.2.1, the scope must be defined to evaluate the full effectiveness of the AIMS.
The PECB Lead Auditor Guide reinforces that without a clear scope, the audit risks missingcritical operational, ethical, or compliance-related areas.


NEW QUESTION # 36
What is the main goal of the 'Transparency and Explainability' core element in AI?

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

Answer: A

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 # 37
What among the below list of steps comes before the other ones in the management system audit process?

  • A. Performing document review
  • B. Initiating the audit
  • C. Conducting the opening meeting
  • D. Preparing the audit report

Answer: B

Explanation:
The first step in the audit process isInitiating the audit.
As perISO 19011:2018 - Clause 6.3, initiating the audit involves activities such asappointing the audit team
, defining theaudit scope and objectives, andcommunicating with the auditeeto set expectations.
After initiation, the auditor proceeds withdocument review, followed by theopening meeting, and then moves into audit execution and reporting.


NEW QUESTION # 38
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. Transparency and Explainability
  • C. Accountability
  • 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.


NEW QUESTION # 39
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