ISO-IEC-42001-Foundation Real Exam Questions, Pass4sure ISO-IEC-42001-Foundation Study Materials

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GAICC ISO-IEC-42001-Foundation Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Responsible AI, Ethics, and Stakeholder Awareness	20%	- Ethical principles and AI responsibility 1. Stakeholder engagement and transparency 2. Fairness, explainability and oversight mechanisms 3. Roles and responsibilities of AI providers, producers and customers
Topic 2: Fundamentals of AI Governance and the ISO/IEC 42001 Framework	40%	- Basic concepts of AI and AI Management Systems (AIMS) 1. Terminology from ISO/IEC 22989 and ISO/IEC 42001 2. AI system lifecycle concepts 3. Purpose, scope and structure of ISO/IEC 42001:2023 - Relationship between AIMS and organizational context
Topic 3: Core Components of the Artificial Intelligence Management System (AIMS)	40%	- Key clauses and requirements of ISO/IEC 42001 1. Leadership, planning and support 2. Operation, performance evaluation and improvement

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GAICC ISO/IEC 42001 Foundation Sample Questions (Q34-Q39):

NEW QUESTION # 34
A telecoms group is finalising the documented scope statement for its AIMS under Clause 4.3. The general counsel asks which inputs Clause 4.3 expects the team to consider when defining the AIMS boundaries.
According to GAICC Foundation Module 4, which set of inputs is MOST consistent with Clause 4.3?

A. Just the AI inventory and the geographies of deployment, since Clause 4.3 is concerned with describing technical assets and the regions in which they are operated.
B. The external and internal issues from Clause 4.1, the requirements of interested parties from Clause 4.2, and the organisation ' s AI-related roles, services, and dependencies.
C. The five-step certification application pathway, including the twelve-month eligibility window opened on the date the certification application is approved by GAICC.
D. The Continuing Professional Development requirements for personnel certified under the GAICC Foundation credential, since scope is governed by personnel certification cycles.

Answer: B

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
Determining the scope of the AIMS under ISO/IEC 42001 Clause 4.3 requires an explicit synthesis of organizational context and stakeholder obligations. Specifically, the standard mandates that an organization consider the external and internal context factors established in Clause 4.1, the compliance and operational requirements of identified interested parties determined under Clause 4.2, and the interactions between organizational operations and external providers. In the context of artificial intelligence, Clause 4.3 uniquely extends this analysis to include the distinct roles the organization plays across the AI system life cycle (e.g., AI developer, provider, deployer, or user), along with external technical dependencies and supply chain architectures. Limiting the scope solely to asset inventories or regional footprints omits key legal, societal, and relational governance vectors. The resulting scope must be maintained as documented information, clearly demarcating boundaries, operational interfaces, and any defensible justifications for exclusions.
Reference: ISO/IEC 42001:2023 Clause 4.3 (Determining the scope of the AI management system); GAICC Foundation Module 4 (Context of the Organisation & Scope Formulation).

NEW QUESTION # 35
A municipal council trains an AI tool to predict pothole locations using crowdsourced reports submitted through a smartphone app. After deployment, the tool consistently recommends maintenance in wealthier suburbs where smartphone uptake is highest, while under-recommending in lower-income areas where reports are sparse. A foundation learner is asked which type of bias BEST describes what is occurring and which responsible-AI consideration is most directly affected.

A. Sample selection bias, because the training data systematically over-represents neighbourhoods with higher smartphone uptake and under-represents others, distorting the fairness of the maintenance outcomes the model recommends.
B. Automation bias, because human operators defer to the AI tool ' s recommendations without applying their own knowledge of which neighbourhoods would benefit from inspection regardless of whether residents reported damage through the app.
C. Confirmation bias, because the council ' s road maintenance team trusts the tool more than it should, and that trust reinforces the existing recommendation pattern through downstream operational scheduling that follows the tool ' s outputs.
D. Label bias, because the council misclassified individual reports during the training data labelling stage, and the resulting label errors propagated into the model ' s prediction patterns across the different neighbourhoods served by the council.

Answer: A

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
The scenario exemplifies sample selection bias (a form of statistical and data collection bias), which directly compromises the foundational responsible AI principle of fairness. When training datasets are constructed from crowdsourced smartphone applications, the underlying observations inevitably reflect socioeconomic disparities in device access, digital literacy, and civic participation rather than the true objective distribution of physical road defects. Because higher-income demographics submit a disproportionately high volume of reports, the algorithmic training distribution over-represents affluent municipal zones while systematically under-representing under-resourced communities. Under ISO/IEC 42001 Annex B and controls in domains A.
6 (AI system life cycle) and A.7 (Data for AI systems), organizations must implement data quality assurance processes that evaluate dataset representativeness, data provenance, and sampling parity to preemptively identify and mitigate systemic bias before operational deployment.
Reference: ISO/IEC 42001:2023 Annex B.3 (Fairness); Control Domain A.7 (Data for AI systems); GAICC Foundation Module 6 (Algorithmic Bias, Fairness, and Data Governance).

NEW QUESTION # 36
During an AIMS awareness session, a junior product manager asks: ' In ISO/IEC 42001, who counts as an interested party? ' He wants a definition consistent with Clause 3 and the GAICC Foundation treatment of Clause 4.2. Which option is the BEST answer?

A. A paying customer of the organisation ' s AI products or services, since interested parties under ISO
/IEC 42001 are limited to entities with an active commercial relationship in place.
B. A regulator with statutory authority over the organisation ' s sector, since interested parties are restricted to bodies that can impose binding obligations on the organisation.
C. An accredited external certification body engaged to audit the AIMS, since interested parties under ISO
/IEC 42001 refers to third parties performing assurance roles for the AIMS.
D. A person or organisation that can affect, be affected by, or perceive itself to be affected by a decision or activity of the organisation, including customers and others.

Answer: D

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
ISO/IEC 42001 adopts the standardized Harmonized Structure definition found in Clause 3, defining an interested party (or stakeholder) as a " person or organization that can affect, be affected by, or perceive itself to be affected by a decision or activity " . In the domain of artificial intelligence management, this definition encompasses an expansive stakeholder ecosystem. It extends far beyond formal commercial counterparties, paying clients, and direct regulatory agencies to encompass end-users, employees, subjects whose data is ingested for model training or inference, downstream individuals impacted by algorithmic recommendations, and societal communities. Under Clause 4.2, organizations must identify these relevant interested parties, determine their specific requirements and expectations, and assess which of those requirements translate into legal, mandatory, or voluntary commitments for the AIMS.
Reference: ISO/IEC 42001:2023 Clause 3.2 & Clause 4.2; GAICC Foundation Module 4 (Stakeholder Identification and Requirements Analysis).

NEW QUESTION # 37
A foundation candidate is asked to identify which attributes an AI policy must include to satisfy ISO/IEC
42001 Clause 5.2. The candidate is given four short summary statements about an AI policy drafted by a logistics company that uses route-optimisation and demand-forecast models. The policy is one printed page, signed by the chief executive, and posted on the staff intranet. Which summary BEST reflects the minimum attributes Clause 5.2 requires of a documented AI policy?

A. The policy mirrors the wording of the EU AI Act in full, copies the relevant sections of the local privacy statute verbatim, and republishes the text of Annex A controls so staff have one combined reference document.
B. The policy lists every AI model the organisation operates, names the data scientist accountable for each model, and specifies the exact retraining cadence in months for the algorithms used by the logistics planning team.
C. The policy is appropriate to the organisation ' s purpose, provides a framework for AI objectives, commits to satisfying applicable requirements, and commits to continual improvement of the AI management system.
D. The policy promises to obtain ISO/IEC 42001 certification within twelve months, names the chosen certification body, and commits the chief executive to attend each surveillance audit in person to answer auditor questions.

Answer: C

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
Clause 5.2 (AI Policy) defines four mandatory statutory criteria that top management must satisfy when formulating the documented AI policy. Specifically, the AI policy must: (a) be appropriate to the purpose and context of the organization; (b) provide a structured framework for setting AI objectives; (c) include a formal commitment to satisfy applicable legal, statutory, regulatory, and contractual requirements; and (d) include a clear commitment to the continual improvement of the AI management system. The policy is an executive- level strategic commitment rather than a granular technical asset inventory or model configuration logbook.
Prescribing operational model parameters, copying external legislation verbatim, or committing to prospective audit timelines conflates operational procedures with core leadership governance policies.
Reference: ISO/IEC 42001:2023 Clause 5.2 (AI policy); GAICC Foundation Module 5 (Policy Formulation & Strategic Intent).

NEW QUESTION # 38
A foundation learner is shown four pieces of evidence collected during a Clause 5 walkthrough at a media company that deploys content-moderation AI. The auditor wants the single strongest indicator that top management is actively committed to the AIMS, not merely supportive on paper. The four pieces of evidence are an intranet news item, a printed policy, a budget line, and a signed management-review minute. Which item BEST evidences active Clause 5.1 commitment?

A. A finance-system budget line called " AI governance " totalling a substantial annual figure, with no supporting breakdown of how funds were allocated across training, tooling, monitoring, or external advisory services during the period.
B. A printed AI policy displayed in the reception lobby, signed by a former chief executive who departed before the AIMS scope was extended to cover the newer generative-AI content-moderation tools that the company now operates.
C. A signed management-review minute showing the chief executive chaired the review, reviewed AIMS performance indicators, approved resource changes, and tasked named owners with follow-up actions carrying agreed deadlines and reporting dates.
D. An intranet news item from twelve months ago announcing that the organisation has adopted ISO/IEC
42001 as its preferred AI management framework, written by the corporate-communications team rather than by top management directly.

Answer: C

Explanation:
Comprehensive and Detailed Explanation From [GAICC ISO/IEC 42001/Course Guide/topics]:
In ISO conformity assessment audits, external auditors distinguish between superficial paper compliance and genuine, verifiable leadership commitment under Clause 5.1. While published policies, internal communications, and high-level financial allocations represent supporting evidence, they are insufficient on their own to substantiate direct leadership engagement. A signed management review record (Clause 9.3) demonstrating that the chief executive personally presided over the governance review, critically assessed operational telemetry and audit findings, authorized concrete resource allocations, and assigned actionable remediation tasks to named owners establishes clear, verifiable proof of active leadership oversight. This record links top-level strategic authority directly to operational accountability and continual improvement, providing the primary evidence needed to satisfy Clause 5.1.
Reference: ISO/IEC 42001:2023 Clause 5.1 (Leadership and commitment); Clause 9.3 (Management review); GAICC Foundation Module 5 (Leadership and Top Management Audit Trails).

NEW QUESTION # 39
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