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ISO-IEC-42001-Lead-Auditor Valid Dumps | Trustworthy ISO-IEC-42001-Lead-Auditor Exam Content

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PECB ISO-IEC-42001-Lead-Auditor Exam Syllabus Topics:

Topic
Details

Topic 1

Managing an ISO
IEC 42001 audit program: This section of the exam measures the skills of an AI Compliance Officer and deals with overseeing an entire audit program. It involves managing multiple audits, tracking audit performance, and aligning audit outcomes with broader organizational goals related to AI governance.

Topic 2

Fundamental principles and concepts of an AI management system: This section of the exam measures the skills of an AI Compliance Officer and covers the basic principles of artificial intelligence, including ethical use, trustworthiness, and transparency. It introduces the purpose and importance of having an AI management system in place for responsible AI governance.

Topic 3

Conducting an ISO
IEC 42001 audit: This section of the exam measures the skills of a Lead Auditor and focuses on executing the audit according to ISO
IEC 42001 guidelines. It includes collecting evidence, interviewing relevant staff, and evaluating compliance with the AI management system standards.

PECB ISO/IEC 42001:2023Artificial Intelligence Management System Lead Auditor Exam Sample Questions (Q73-Q78):

NEW QUESTION # 73
Auditors use the ______ as a benchmark to determine conformity.

A. Audit plan
B. Audit feasibility
C. Audit objectives
D. Audit criteria

Answer: D

Explanation:
Audit criteriaare defined as theset of policies, procedures, or requirementsused as areference pointagainst whichaudit evidence is compared.
As perISO 19011:2018 - Clause 3.5, audit criteria are the"set of policies, procedures, or requirements used as a reference". For ISO/IEC 42001 audits, the audit criteria include therequirements of ISO/IEC
42001:2023, relevant laws, internal policies, and controls.
ThePECB Lead Auditor Guide - Domain 3further confirms that conformity assessment depends on comparing actual practices and records againstpredefined criteriato identify nonconformities or compliance.
Reference: ISO 19011:2018 - Clause 3.5 (Audit criteria)
ISO/IEC 42001:2023 - Clause 9.2.2
PECB Lead Auditor Guide - Domain 3: "Audit Criteria and Conformity"

NEW QUESTION # 74
A retail company wants to implement a system that can predict customer buying behavior based on their browsing history and past purchases. Which AI concept would be most suitable for developing this predictive system?

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

Answer: A

Explanation:
Machine Learning (ML)is the most suitable AI concept in this scenario. ML focuses on developing algorithms that canlearn from structured or unstructured dataand make predictions based on historical patterns.
In this case, analyzing customerbrowsing history and purchase recordsfalls directly undersupervised learning, a subcategory of ML, which is typically used forpredictive modelingin retail (such as next-best- offer, product recommendation, or demand forecasting).
According to the PECB Lead Auditor Study Guide (Domain 1),ML is specifically referenced as the core techniquefor prediction systems, user behavior modeling, and data-driven decision-making systems.
Though Deep Learning (DL) is a subset of ML, it is often used for more complex pattern recognition tasks such as image or speech recognition, which is not explicitly required here.
Reference: PECB Lead Auditor Guide - Domain 1, Topic: "AI Concepts" - Table differentiating ML, DL, NLP, and Computer Vision ISO/IEC 42001:2023 Clause 8.2.3 (Operational Planning and Control) - Emphasizes selecting AI techniques appropriate to the context and purpose

NEW QUESTION # 75
Which control in Annex A emphasizes the importance of security measures in AI system operations?

A. Customer Feedback
B. Access Control
C. Financial Auditing
D. Performance Metrics

Answer: B

Explanation:
Annex A of ISO/IEC 42001:2023providesreference controlsto support operational and ethical AI governance. The control that emphasizessecurity in AI system operationsis:
A: 8.2.2 - Access Control: This control requires thatonly authorized individuals or systemscan access, modify, or influence the AI system, ensuringdata integrity and protectionof critical operations.
Access control is afoundational security controlused to prevent unauthorized interference or manipulation of AI behavior or data pipelines.

NEW QUESTION # 76
A financial institution needs to develop a system that can understand and process large volumes of unstructured text data from financial reports to extract key information and insights. Which AI concept would be best suited for this task?

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

Answer: A

Explanation:
The correct AI concept for processingtext dataisNatural Language Processing (NLP).
NLP is a field of AI concerned with theinteraction between computers and human (natural) languages. It is used to analyze, extract, and interpretunstructured text, making it highly suitable for financial document analysis.
ISO/IEC 42001:2023 - Clause 8.2.3encourages the selection of appropriate techniques for operational purposes, andNLP is the most relevantfor text-heavy tasks.

NEW QUESTION # 77
Scenario 3 (continued):
ArBank is a financial institution located in Brussels, Belgium, which offers a diverse range of banking and investment servicesto its clients. To ensure the continual improvement of its operations, ArBank has implemented a quality management system QMS based on ISO 9001 and an artificial intelligence management system AIMS based on the requirements of ISO/IEC
42001.
Audrey, an experienced auditor, led an internal audit focused on the AIMS within ArBank. She assessed the chatbots integrated into thebank's website and mobile app, analyzing communications using big data technology to identify potential noncompliance, fraud, orunethical conduct. Instead of relying solely on the information provided by the chatbots, Audrey sought out evidence that would eitherconfirm or challenge the validity of the data, ensuring her conclusions were based on reliable and accurate information. Her review ofselected chatbot interactions confirmed they met their intended purpose.
For the specific context of ArBank's operations, Audrey utilized an Al system to assess the efficiency of the bank's digital infrastructure,focusing on tasks critical to the Finance Department. This Al system was able to analyze the functionality of chatbots integrated intoArBank's website and mobile app to determine if it adheres to ISO/IEC 42001 requirements and internal policies governing customerservice in the banking sector.
In addition, Audrey conducted a deeper assessment of the bank's AIMS. Her evaluation included observing different stages of the AIMSlife cycle, from development to deployment, to ensure that roles and responsibilities were clearly defined and aligned with ArBank'soperational goals. She also evaluated the tools used to monitor and measure the performance of the AIMS.
Audrey continued the audit process by auditing ArBank's outsourced operations. Upon checking the contractual agreements between thetwo parties, Audrey decided that there was no need to gather audit evidence regarding the contractual agreement. She reviewed thecompany's processes for monitoring the quality of outsourced operations, determined whether appropriate governance processes are inplace with regard to the engagement of outsourced persons or organizations, and reviewed and evaluated the company's plans in case ofexpected or unexpected termination of theoutsourcing agreement.
Based on the scenario above, answer the following question:
Question:
What big data technology did Audrey utilize? Refer to Scenario 3.

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

Answer: D

Explanation:
Audrey usedText Analytics, which involves processing and analyzing textual interactions (like chatbot conversations) to derive meaningful information.
* ISO/IEC 20546:2019 (Big Data Overview and Vocabulary) Clause 3.6defines text analytics as the application of AI techniques to understand and extract information from unstructured text.
* In ISO/IEC 42001:2023, the standard stresses in Clause 8.2 (Data Management) the need for organizations to ensure that textual data is analyzed correctly to validate AI system effectiveness.
Reference:ISO/IEC 20546:2019 Clause 3.6; ISO/IEC 42001:2023 Clause 8.2 (Data Management).

NEW QUESTION # 78
......

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