PECB ISO/IEC 42001:2023 Artificial Intelligence Management System Lead Auditor ISO-IEC-42001-Lead-Auditor Exam Questions

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Total 198 questions
Question 1

What certification recommendation did the auditee receive?

Scenario 8: VeridicAI. based in San Francisco. USA, specializes in market research using Al technologies to analyze customer behavior. Founded in 2023, the company

employs natural language processing, machine learning, and predictive analytics to provide real time insights to a range of businesses. VeridicAI has implemented an

artificial intelligence management system AIMS based on ISO/IEC 42001 to manage its Al technologies effectively. The AIMS scope includes select departments within

the company, for which it has received a four-year certification against ISO/IEC 42001. Committed to transparency. VeridicAI publicly shares details of this certification.

As the certification nears its end, VeridicAI is preparing for an audit to renew its certification.

The audit process was led by Sharona, the audit team leader, who is a full-time employee of the certification body. Sharona and the audit team undertook all planned

audit activities. Afterward, they organized the closing meeting with VeridicAl's management. During the meeting, Sharona and the team made a recap on audit

objectives and scope, presented the audit findings and conclusions, presented identified nonconformities, and organized a session for questions and answers for the

auditee.

VeridicAI received a conditional recommendation for certification, underscoring its compliance with the industry's standards. Sharona confirmed that the company met

the essential requirements but noted some identified minor nonconformities. In response, VeridicAI compiled and submitted a comprehensive action plan that

addresses all identified nonconformities within a designated timeframe. Because of the comprehensive action plan, Sharona did not see the need for an additional on-

site visit to verify the effectiveness of the action plan.

Sharona played an integral role in the certification decision process. Her thorough understanding of VeridicAI's operations, gained from the audit, guided the

certification body towards a well-informed certification decision.



Answer : A

According to ISO/IEC 42001:2023 and auditing best practices as per ISO 19011:2018 guidelines, a conditional certification may be issued when an organization conforms to most of the requirements but has minor nonconformities that do not pose a major risk to the system's effectiveness. In this case, VeridicAI received a conditional recommendation based on minor nonconformities. They submitted a comprehensive action plan, and the audit leader decided no additional on-site visit was necessary.

ISO/IEC 42001:2023 refers to such decisions under Clause 9.5 (Improvement), which supports corrective actions based on minor issues without necessarily requiring physical validation if the evidence submitted is sufficient.


ISO/IEC 42001:2023 Clause 9.5 -- Nonconformity and Corrective Action

ISO/IEC 17021-1:2015 -- Requirements for bodies providing audit and certification of management systems

ISO 19011:2018 Clause 6.4.10 -- Audit Conclusion and Recommendation

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Question 2

Which statement regarding the confidentiality of documented information related to or collected from the auditee is NOT accurate?



Answer : C

The statement ''Information from external sources, like regulators or complaints, is automatically public and can be disclosed without restriction'' is NOT accurate.

Even if information is sourced externally (e.g., from a regulator or complaint), it is not considered public by default and cannot be disclosed freely. Certification bodies and auditors are bound to confidentiality requirements as per ISO/IEC 17021-1 and ISO/IEC 42001 unless legally or contractually obligated to disclose.


ISO/IEC 17021-1:2015, Clause 9.5 -- Confidentiality

ISO/IEC 42001:2023, Clause 9.2.2 -- Confidentiality and privacy

PECB ISO/IEC 42001 Lead Auditor Study Guide -- Section: Confidentiality in Audits

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Question 3

Scenario 4 (continued):

BioNovaPharm, a German biopharmaceutical company, has implemented an artificial intelligence management system AIMS based on ISO/IEC 42001 to optimize various aspects of drug discovery, including analyzing extensive biological data, identifying potential drug candidates, and streamlining clinical trial processes. After having the AIMS in place for over a year, the company contracted a certification body and is now undergoing an AIMS audit to obtain certification against ISO/IEC 42001.

Adopting a risk-based approach, the audit team focused on risk throughout their activities. The level of detail outlined in the audit plan corresponded to the scope and complexity of the audit. The team employed a ranking system for detailed audit procedures, prioritizing those with the highest risk.

Once the stage 1 audit began, the audit team started reviewing the auditee's documented information. To assess whether BioNovaPharm complies with the legal and regulatory requirements related to incident communication, the audit team examined evidence provided by the company's external legal office. The evidence confirmed that BioNovaPharm applies the requirements of the EU Al Act, which mandates that providers of high-risk Al systems report serious incidents to relevant authorities.

Following the completion of the stage 1 audit, John, an audit team member, documented the stage 1 audit outputs, including the observations of the audit team that could result in nonconformities during the on-site audit. However, the audit team leader, Emma, who was overseeing the audit activities, observed that John failed to document significant observations related to the lack of transparency in the Al decision-making processes of BioNovaPharm. Considering that Emma observed John's lack of competence in undertaking some

audit activities, a disciplinary note was recorded for John.

Which of the following AI applications for auditing did the audit team employ?



Answer : B

The audit team used Automated Data Validation by using AI to gather and validate external digital data (e.g., drug development information).

ISO/IEC 42001 Clause 9.2.2 allows the use of automated methods to collect and validate information, provided that the reliability and integrity of such systems are ensured.

The Lead Auditor Course Guide explains: ''Automated data validation tools help auditors improve evidence collection efficiency by cross-referencing multiple datasets with minimal manual intervention.''


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Question 4

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



Answer : A

The Privacy and Security principle focuses on safeguarding personal data and ensuring the robustness of AI systems against security threats.

As outlined in ISO/IEC 42001:2023 -- Clause 6.1.2 and 8.2.3, organizations must address data protection, cybersecurity, and access controls throughout the AI system lifecycle.

This is particularly relevant in contexts where AI systems handle sensitive or identifiable data, such as health, finance, or biometrics.


PECB Lead Auditor Guide -- Domain 1: ''Trustworthy AI -- Privacy and Security Requirements''

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Question 5

What precautions must the certification body take when conducting short-notice audits?



Answer : A

According to ISO/IEC 17021-1:2015 Clause 9.6.4, certification bodies must notify clients in advance of short-notice audits and define the conditions and procedures under which these audits are conducted. This ensures transparency, preparedness, and impartiality during the audit process.


ISO/IEC 17021-1:2015 Clause 9.6.4 -- Short-notice audits

ISO/IEC 42001:2023 Clause 9.2 -- Internal audit and external audit consistency

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Question 6

During the annual ISO/IEC 42001 audit at a financial company, the auditor selected and analyzed a sample of 5 out of 25 follow-up nonconformity reports to assess whether the company adheres to its follow-up process. What type of evidence did the auditor gather?



Answer : C

The auditor gathered Quantitative evidence.

Quantitative evidence is defined as evidence that is measurable and based on numbers or statistical sampling.

ISO 19011:2018 Clause 6.5.5 states: ''Quantitative audit evidence is numerical or measurable and collected through sampling, measurements, or observations.''

Sampling nonconformity reports to check process adherence clearly falls under quantitative evidence.


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Question 7

In the functional view of an AI system, what role does the processing component play?



Answer : A

The functional view of an AI system typically divides the system into:

Input Component

Processing Component

Output Component

The ''processing component'' is responsible for utilizing a trained model to process incoming data and generate outputs such as predictions, actions, or recommendations.

Option B refers to the training phase, which occurs before the processing stage.

Option C relates to governance or lifecycle management --- not the system's processing role.


ISO/IEC 22989:2022, Clause 3.8 -- Functional architecture of AI systems

ISO/IEC 42001:2023, Clause 6.1 -- AI lifecycle understanding, including data input, model use, and output generation

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