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PECB ISO/IEC 42001:2023Artificial Intelligence Management System Lead Auditor Exam Sample Questions (Q35-Q40):

NEW QUESTION # 35
A company develops an AI-based health monitoring system that provides insights and recommendations to users. However, users have reported that they do not understand how the system arrives at its recommendations. Which core element should the company enhance to improve user trust and understanding?

A. Fairness and Non-Discrimination
B. Transparency and Explainability
C. Safety and Reliability
D. Human-Centered Design

Answer: B

Explanation:
The issue in this case revolves aroundusers not understanding the reasoning or logicbehind the AI- generated recommendations. The relevant core element isTransparency and Explainability.
According toISO/IEC 42001:2023 - Clause 6.1.2 and Clause 8.2.3, transparency refers to theclarity of processes, decisions, and data use, while explainability focuses on makingAI system outputs understandableto human users.
ThePECB Lead Auditor Guideidentifies this as a key factor in buildingtrust, usability, and ethical AI adoption, especially insensitive domainslike healthcare.

NEW QUESTION # 36
Which core element of AIMS is defined as: "Organizations are responsible for the development, deployment, and use of AI systems, and their potential impacts"?

A. Commitment
B. Accountability
C. Responsibility
D. None of the above

Answer: B

Explanation:
The correct core element isAccountability.
According toISO/IEC 42001:2023 - Clause 5.3, andPECB Lead Auditor Guide - Domain 1,accountability is defined as the obligation of organizations totake responsibility for the outcomes and impactsof AI systems across the lifecycle - including design, development, deployment, and operation.
This includes establishing:
* Clear roles and responsibilities
* Oversight mechanisms
* Escalation procedures for unintended consequences
It directly addresses the ethical and governance need to ensure AI systems are not used irresponsibly or without clear attribution.

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

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

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
A few months after an audit, the auditor returns to the company to verify that corrective actions have been effectively implemented and that the issues identified have been resolved. Which step of the management system audit process does this activity correspond to?

A. Closing meeting
B. Document review
C. Audit follow-up
D. Conducting the audit

Answer: C

Explanation:
The activity described is part of theAudit Follow-Upphase. According toISO 19011:2018 - Clause 6.6.2, follow-up activities are conducted to verify:
* Whethercorrective actions have been implemented, and
* Whether those actions wereeffective in addressing the nonconformitiesidentified during the audit.
ThePECB Lead Auditor Guide - Domain 6confirms that follow-up audits or activities may occurweeks or monthsafter the main audit, especially whenmajor or systemic nonconformitieswere identified.
This phase ensures thecontinuous improvementof the AI Management System and is crucial for maintaining long-term conformity.

NEW QUESTION # 39
According to the core element of 'Privacy and Security,' what is essential when developing AI systems?

A. Increasing the efficiency of AI algorithms
B. Enhancing the graphical user interface
C. Reducing the development time
D. Ensuring the protection of personal data and system security

Answer: D

Explanation:
ThePrivacy and Securityprinciple focuses on safeguardingpersonal dataand ensuring therobustness of AI systems against security threats.
As outlined inISO/IEC 42001:2023 - Clause 6.1.2 and 8.2.3, organizations must addressdata protection, cybersecurity, and access controlsthroughout the AI system lifecycle.
This is particularly relevant in contexts where AI systems handlesensitive or identifiable data, such as health, finance, or biometrics.

NEW QUESTION # 40
......

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