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

NEW QUESTION # 34
A healthcare provider wants to develop a system that can analyze medical images, such as X-rays and MRIs, to assist doctors in diagnosing diseases. Which AI concept is most relevant for this application?

A. Machine Learning (ML)
B. Computer Vision
C. Deep Learning (DL)
D. Natural Language Processing (NLP)

Answer: B

Explanation:
The AI concept most relevant for analyzingvisual data like X-rays and MRIsisComputer Vision. This field focuses on enabling machines tounderstand and interpret image and video data.
As outlined in thePECB Lead Auditor Guide - Domain 1, Computer Vision is specifically applied in medical imaging, object detection, facial recognition, and other tasks requiring interpretation of visual content.
WhileDeep Learningmay be used as an underlying technique (e.g., convolutional neural networks), Computer Visionis the broader and correct domain applicable to the question.

NEW QUESTION # 35
A social media platform wants to automatically detect and remove inappropriate content from images and videos uploaded by users. Which AI concept is most appropriate for this task?

A. Machine Learning (ML)
B. Computer Vision
C. Deep Learning (DL)
D. Natural Language Processing (NLP)

Answer: B

Explanation:
The most appropriate AI concept for analyzingimages and videosisComputer Vision. Computer Vision is a subfield of artificial intelligence that enables systems tointerpret and process visualdata, such as photos and video frames, which is exactly what is required in this scenario.
According to thePECB Lead Auditor Guide,Computer Visionis explicitly associated with tasks such as object recognition, content moderation, facial recognition, and image classification - all of which are relevant in detecting inappropriate content on platforms like social media.
WhileDeep Learningis often usedwithinComputer Vision (e.g., convolutional neural networks), thecorrect high-level conceptbeing asked here is Computer Vision, which encompasses the overall domain applicable to this scenario.
* NLPis used for analyzing text and language, not visual content.
* MLis a broader category under which Computer Vision models are trained, but is too general for this specific task.

NEW QUESTION # 36
Question:
During a combined audit, if an auditor identifies a finding linked to one criterion, should they consider its potential impact on corresponding or related criteria of other management systems?

A. Yes, the auditor should consider the other criteria only if the finding is deemed significant
B. Yes, the auditor should consider the possible impact on the corresponding or similar criteria of the other management system
C. No, in such cases the auditor should always focus on the specific criterion identified

Answer: B

Explanation:
In acombined audit, auditors are required toconsider the implications of a finding across different but related management systems.
* ISO/IEC 17021-1:2015 Clause 9.2.2.2states:"Findings should be evaluated not only against the specific audit criteria but also their relevance to other applicable requirements in combined audits."
* TheLead Auditor Training Manualclarifies:"In combined audits, findings must be reviewed for their potential cross-system impacts to ensure full system-wide conformity." Reference:ISO/IEC 17021-1:2015 Clause 9.2.2.2; ISO/IEC 42001 Lead Auditor Guide, Combined Audit Considerations.

NEW QUESTION # 37
Scenario 9:
Scenario 9: Securisai, located in Tallinn.Estonia, specializes in the development of automated cybersecurity solutions that utilize AIsystems. The company recently implemented an artificial intelligence management system AIMS in accordance with ISO/IEC 42001. Indoing so, the company aimed to manage its Al-driven systems' capabilities to detect and mitigate cyber threats more efficiently andethically. As part of its commitment to upholding the highest standards of Al use and management, Securisai underwent a certificationaudit to demonstrate compliance with ISO/IEC 42001.
The audit process comprised two main stages: the initial or stage 1 audit focused on reviewing Securisai's documentation, policies, andprocedures related to its AIMS. This review laid the groundwork for the stage 2 audit, which involved a comprehensive, on-site evaluation of the actual implementation and effectiveness of the AIMS within Securisai's operations. The goal was to observe the AIMS in operation,ensuring that it not only existed on paper but was effectively integrated into the company's daily activities and cybersecurity strategies.
After the audit, Roger, Securisai's internal auditor, addressed the action plans devised to rectify nonconformities identified during thecertification audit. He developed a long term strategy, highlighting key AIMS processes for triennial audits. Roger's internal audits play a key role in advancing Securisai's goals by employing a systematic and disciplined method to assess and boost the efficiency of risk management, governance processes, and strategic decision-making. Roger reported his findings directly to Securisai's top management.
Following the successful rectification of nonconformities, Securisai was officially certified against ISO/IEC
42001.
Recently, the company decided to transfer its ISO/IEC 42001 certification registration from one certification body to another despitebeing initially bound by a long-term agreement with the current certification body.
This decision was motivated by the desire to partnerwith a certification body that offers deeper insights and expertise in the rapidly evolving field of artificial intelligence in cybersecurity.
To ensure a smooth transition and uphold its certification status, Securisai is diligently compiling the required documentation forsubmission to the new certification body. This includes a formal request, the most recent audit report underscoring its adherence toISO/IEC 42001, the latest corrective action plan that highlights its continuous efforts toward improvement, and a copy of its current validcertification registration.
A year following Securisai's initial certification audit, a subsequent audit was carried out by the certification body on its AIMS. The purpose of this audit was to assess compliance with ISO/IEC 42001 and verify the ongoing improvement of the AIMS. The audit team concluded that Securisai's AIMS consistently meets the requirements set by ISO/IEC 42001.
During an AIMS audit at a cybersecurity company, the team found a major nonconformity - ineffective access controls for sensitive data.
Question:
Given this situation, what is the appropriate next step?

A. Promptly revoke the auditee's certification without further examination
B. Conduct another full audit of the auditee's entire AIMS
C. Conduct an audit follow-up before the company is recommended for certification

Answer: C

Explanation:
Major nonconformities require follow-upbefore recommending certification.
* ISO/IEC 17021-1:2015 Clause 9.4.9.4requires that for major nonconformities:"Certification shall only be granted after verification of the effective implementation of corrective actions, typically through an on-site follow-up audit."
* Immediate revocation or full re-audit is not necessary unless systemic failure is evident.
Reference:ISO/IEC 17021-1:2015 Clause 9.4.9.4; ISO/IEC 42001:2023 Clause 10.2.

NEW QUESTION # 38
What is the right series of AI system lifecycle?

A. System Requirements & specification finalization, System design & development, System Verification
& validation, System Deployment, System Operation & monitoring
B. System Requirements & specification finalization, System design & development, System Deployment, System Verification & validation, System Operation & monitoring
C. System design & development, System Operation & monitoring, System Requirements & specification finalization, System Verification & validation, System Deployment
D. System Verification & validation, System design & development, System Deployment, System Requirements & specification finalization, System Operation & monitoring

Answer: A

Explanation:
The correct lifecycle sequence for an AI system as outlined inISO/IEC 42001:2023and supporting lifecycle methodologies (such as those influenced by ISO/IEC/IEEE 15288 and ISO/IEC TR 24028) is:
* System Requirements & Specification Finalization
* System Design & Development
* System Verification & Validation
* System Deployment
* System Operation & Monitoring
This lifecycle ensures that all AI systems are planned, built, tested, and monitored effectively to address functional, ethical, and risk management objectives.
The standard encourages applying astructured lifecycle approachto ensure that AI systems meet organizational goals and stakeholder expectations throughout their operational period.

NEW QUESTION # 39
......

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