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PECB ISO/IEC 42001:2023Artificial Intelligence Management System Lead Auditor Exam Sample Questions (Q55-Q60):

NEW QUESTION # 55
Scenario 6 (continued):
Scenario 6: HappilyAI is a pioneering enterprise dedicated to developing and deploying artificial intelligence Al solutions tailored toenhance customer service experiences across various industries. The company offers innovative products like virtual assistants,predictive analytics tools, and personalized customer interaction platforms. As part of its commitment to operational excellence andinnovation, HappilyAI has implemented a robust Al management system AIMS to oversee its Al operations effectively. Currently.HappilyAI is undergoing a comprehensive audit process of its AIMS to evaluate its compliance with ISO/IEC 42001.
Under the leadership of Jess, the audit team began the audit process with meticulous planning and coordination, setting the groundworkfor the extensive on-site activities of the stage 1 audit. This initial phase was marked by a comprehensive documentation review. Theaudit scope encompassed a critical review of HappilyAI's core departments, including Research and Development (R&D), CustomerService, and Data Security, aiming to assess the conformity of HappilyAI's AIMS to the requirements of ISO/IEC 42001.
Afterward, Jess and the team conducted a formal opening meeting with HappilyAI to introduce the audit team and outline the auditactivities. The meeting set a collaborative tone for the subsequent phases, where the team engaged in information collection, executedaudit tests, identified findings, and prepared draft nonconformity reports while maintaining a strict quality review process.
In gathering evidence, the audit team employed a sampling method, which involved dividing thepopulation into homogeneous groups toensure a comprehensive and representative data collection by drawing samples from each segment. Furthermore, the team employedobservation to deepen their understanding of the Al management processes. They verified the availability of essential documentation,including Al-related policies, and evaluated the communication channels established for reporting incidents.
Additionally, they scrutinized specific monitoring tools designed to track the performance of data acquisition processes, ensuring thesetools effectively identify and respond to errors or anomalies. However, a notable challenge emerged as the team encountered a lack ofaccess to documented information that describes how tasks about AIMS are executed. In addition to this, the team identified a potentialnonconformity within the Sales Department. They decided not to record this as a nonconformity in the audit report but onlycommunicated it to the HappilyAI's representatives.
During the stage 2 audit, the certification body, in collaboration with HappilyAI, assigned the roles of technical experts within the auditteam. Recognized for their specialized knowledge and expertise in artificial intelligence and its applications, these technical experts aretasked with the thorough assessment of the AIMS framework to ensure its alignment with industry standards and best practices,focusing on areas such as data ethics, algorithmic transparency, and Al system security.
Question:
According to Scenario 6, which sampling method did the audit team use?

A. Random
B. Stratified
C. Systematic

Answer: B

Explanation:
The audit team used aStratified samplingmethod - dividing data or operations into different categories (e.
g., departments or functions) and sampling accordingly.
* ISO 19011:2018 Clause 6.5.5defines stratified sampling as:"Dividing the population into homogeneous subgroups and then taking samples from each subgroup."
* TheISO/IEC 42001 auditing practicesrecommend stratification for complex AI management systems with multiple departments.
Reference:ISO 19011:2018 Clause 6.5.5; ISO/IEC 42001:2023 Clause 9.2.2.

NEW QUESTION # 56
Question:
Which of the following does NOT constitute an appropriate technology requirement for virtualaudits between the auditee and audit team?

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

Answer: B

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 # 57
Which core element emphasizes that AI systems should be designed to avoid bias and ensure fair treatment for all individuals?

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

Answer: D

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 # 58
Question:
During an audit, the auditor employed data analytic technology to identify anomalies and unusualpatterns in the decision-making processes of an AI system used by a financial institution to approve or reject loan applications. Which data analytic technology did the auditor use?

A. Text analytics
B. Visual analytics
C. Data mining
D. Predictive analytics

Answer: C

Explanation:
The auditor usedData Mining.
* Data mininginvolves exploring large datasets to identify patterns, anomalies, or relationships.
* ISO/IEC 20546:2019 Clause 3.5defines data mining as:"The process of discovering patterns, correlations, anomalies, and associations within large datasets."
* In ISO/IEC 42001:2023, auditors are encouraged in Clause 9.2.2 to useappropriate technological tools to analyze AI system behavior, including using big data technologies for pattern recognition during audits.
Reference:ISO/IEC 20546:2019 Clause 3.5; ISO/IEC 42001:2023 Clause 9.2.2.

NEW QUESTION # 59
Audit evidence must be:

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

Answer: B

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 # 60
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