HOT ISO-IEC-42001-Lead-Auditor Latest Version - Valid PECB ISO-IEC-42001-Lead-Auditor Valid Test Guide: ISO/IEC 42001:2023Artificial Intelligence Management System Lead Auditor Exam
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PECB ISO-IEC-42001-Lead-Auditor Exam Syllabus Topics:
Topic
Details
Topic 1
Topic 2
Topic 3
Topic 4
PECB ISO/IEC 42001:2023Artificial Intelligence Management System Lead Auditor Exam Sample Questions (Q111-Q116):
NEW QUESTION # 111
What does the 'Human-Centered Design' core element prioritize in AI development?
Answer: C
Explanation:
Human-Centered Designfocuses on designing AI systems thatrespect and enhance human well-being, align withuser needs and values, and promoteinclusive and accessible technologies.
According toISO/IEC 42001:2023 - Clauses 4.2 and 6.1.2, and highlighted throughout thePECB Lead Auditor Guide - Domain 1, AI systems should beusable, inclusive, and ethically aligned, especially when intended for diverse or vulnerable user groups.
This principle ensures thathumans remain in control and benefitfrom the capabilities of AI.
NEW QUESTION # 112
Question:
Can the work assignments of audit team members be changed during the audit?
Answer: B
Explanation:
Yes,audit team assignments can be adjustedduring the audit to ensure the audit remains effective and objective.
* ISO/IEC 17021-1:2015 Clause 9.2.4.1states:"The audit team leader shall reassign tasks as necessary during the audit to ensure audit objectives are achieved."
* TheISO 19011:2018 Clause 6.4.9similarly permits dynamic reassignment of roles based on real-time findings or logistical needs.The auditee's permission is not required unless changes impact the audit scope or confidentiality agreements.
Reference:ISO/IEC 17021-1:2015 Clause 9.2.4.1; ISO 19011:2018 Clause 6.4.9.
NEW QUESTION # 113
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?
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 visual data, 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.
Reference: PECB Lead Auditor Guide - Domain 1, Table: "AI Technologies and Use Cases" ISO/IEC 42001:2023 - Clause 8.2.3, which supports aligning AI capabilities (e.g., vision, language, planning) with operational requirements
NEW QUESTION # 114
Scenario 5 (continued):
Scenario 5: Aizoia, located in Washington, DC, has revolutionized data analytics, software development, and consulting by usingadvanced Al algorithms. Central to its success is an Al platform adept at deciphering complex datasets for enhanced insights. To ensure that its Al systems operate effectively and responsibly, Aizoia has established an artificial intelligence management system AIMS basedon ISO/IEC 42001 and is now undergoing acertification audit to verify the AIMS's effectiveness and compliance with ISO/IEC 42001.
Robert, one of the certification body's full-time employees with extensive experience in auditing, was appointed as the audit team leaderdespite not receiving an official offer for the role. Understanding the critical importance of assembling an audit team with diverse skills and knowledge, the certification body selected competent individuals to form the audit team. The certification body appointed a team ofseven members to conduct the audit after considering the specific conditions of the audit mission and the required competencies.
Initially, the certification body, in cooperation with Aizoia, defined the extent and boundaries of the audit, specifying the sites (whetherphysical or virtual), organizational units, and the activities for review. Once the scope, processes, methods, and team composition hadbeen defined, the certification body provided the audit team leader with extensive information, including the audit objectives anddocumented details on the scope, processes, methods, and team compositions.
Additionally, the certification body shared contact details of the auditee, including locations, time frames, and the duration of the auditactivities to be conducted. The team leader also received information needed for evaluating and addressing identified risks andopportunities for the achievement of the audit objectives.
Before starting the audit, Robert wrote an engagement letter, introducing himself to Aizoia and outlining plans for scheduling initialcontact. The initial contact aimed to confirm thecommunication channels, establish the audit team's authority to conduct the audit, andsummarize the audit's key aspects, such as objectives, scope, criteria, methods, and team composition. During this first meeting, Robertemphasized the need for access to essential information that would help to conduct the audit.
Moreover, audit logistics, such as scheduling, access, health and safety arrangements, observer attendance, and the need for guides orinterpreters, were thoroughly planned. The meeting also addressed areas of interest or concern, preemptively resolving potential issuesand finalizing any matters related to the audit team composition.
As the audit progressed, Robert recognized the complexity of Aizoia's operations, leading him to conclude that a review of its Al-relateddata governance practices was essential for compliance with ISO/IEC 42001. He discussed this need with Aizoia's management,proposing an expanded audit scope. After careful consideration, they agreed to conduct a thorough review of the Al data governancepractices, but there was no mutual decision to officially change the audit scope. Consequently. Robert decided to proceed with the auditbased on the original scope, adhering to the initial audit plan, and documented the conversation and decision accordingly.
Based on the scenario above, answer the following question:
Question:
Based on Scenario 5, were all the recommended aspects covered during the initial contact with Aizoia?
Answer: B
Explanation:
The scenario does not mention addressingconfidentiality agreements, which is mandatory during the initial contact.
* ISO/IEC 17021-1:2015 Clause 9.2.3.1andISO 19011:2018 Clause 6.4.3both require that agreements about confidentiality, access rights, and data protection must be confirmed before starting the audit.
* TheLead Auditor Manualhighlights:"Initial contact meetings must establish thetreatment of confidential information and audit-related disclosure agreements." Reference:ISO/IEC 17021-1:2015 Clause 9.2.3.1; ISO 19011:2018 Clause 6.4.3.
NEW QUESTION # 115
A financial institution has integrated AI systems into its operations and has adopted risk management principles from an internationally recognized standard to specifically mitigate AI-related risks effectively.
Which standard has the institution applied in this case?
Answer: C
Explanation:
ISO 31000:2018 - Risk Management - Guidelines provides high-level principles and a generic framework for identifying, assessing, and mitigating risks - including those emerging from AI systems.
While ISO/IEC 27005 focuses on information security risk (related to ISO/IEC 27001), ISO 31000 is broader and commonly adopted by organizations for all types of operational and strategic risk management - including ethical, legal, and technical AI risks.
ISO/IEC 42001 references ISO 31000 as the baseline standard for managing AI-related risks.
Option C (ISO/IEC 23895) is not an officially recognized ISO standard as of the current publication.
Reference:
* ISO 31000:2018 - Clause 5-8 (Principles, Framework, Process)
* ISO/IEC 42001:2023, Clause 6.1.2 - Risk-based thinking and alignment with ISO 31000
* PECB AI Lead Auditor Guide - Chapter 5.2 - Risk identification and treatment
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NEW QUESTION # 116
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