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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Governance of AI Development | 21โ25% | - Requirements gathering, risk assessment and mitigation - Governance through design and lifecycle management - Model management, version control and quality assurance - Testing, validation, documentation and transparency |
| Topic 2: Laws, Regulations, Standards and Frameworks | 24โ28% | - Alignment with data protection and privacy laws - International standards (ISO 42001, NIST AI RMF, etc.) - Sector-specific requirements and compliance obligations - Global and regional regulations (EU AI Act, US, etc.) |
| Topic 3: Governance of AI Deployment and Use | 21โ25% | - Incident response, accountability and audit - Implementation, monitoring and ongoing oversight - Selection, procurement and third-party management - Lifecycle maintenance, decommissioning and updates |
| Topic 4: Foundational Concepts of AI Governance | 24โ28% | - Principles of responsible, ethical and trustworthy AI - Fundamental AI definitions, types and characteristics - Governance frameworks and core concepts - Impacts, risks and benefits of AI systems |
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NEW QUESTION # 61
MULTI-SELECT
Please select 3 of the 5 options below. No partial credit will be given.
What are the roles and responsibilities of deployers of a proprietary model?
Answer: B,C,E
Explanation:
Deployers of proprietary models arenot responsible for design, but they are accountable for how the system performsin their context of use, including ensuring ethical behavior, performance, and legal compliance.
From theAI Governance in Practice Report2025:
"Deployers of AI systems must take reasonable steps to ensure that systems are used ethically, perform safely, and align with applicable laws and standards." (p. 11-12)
"Operational governance... includes performance monitoring protocols, incident management plans, and regulatory oversight." (p. 12) Thus:
* #A. Ethical testing- Required to mitigate misuse and unintended harms.
* #B. Ethical design- Belongs todevelopers/providers, not deployers.
* #C. Technical performance- Deployers must ensure that AI performs as expected.
* #D. System documentation- This is theprovider'sobligation.
* #E. Regulatory compliance- Deployers must ensure system use complies with applicable laws.
NEW QUESTION # 62
MULTI-SELECT
Please select 3 of the 5 options below. No partial credit will be given.
The use of paid generative AI public tools is appealing because?
Answer: A,B,C
Explanation:
Paid public generative AI services can be attractive because organizations can adopt them rapidly without developing and maintaining foundational models themselves. Commercial offerings may also provide organizational privacy, security, access-management, and administrative controls beyond those available through basic public access, while centrally managed services can receive frequent provider-driven feature enhancements. These characteristics support A, B, and C. However, payment does not guarantee transparency into proprietary model architecture, training data, weights, or decision processes, so D is incorrect. Nor does a paid service eliminate concerns regarding training-data provenance, intellectual property, personal information, confidential prompts, data retention, or generated outputs; consequently, E is incorrect. AI governance still requires vendor due diligence, contractual safeguards, acceptable-use controls, security assessment, and continuing monitoring when organizations depend on third-party generative AI services.
NEW QUESTION # 63
Your organization is searching for a new way to help accurately forecast sales predictions by various types of customers. Which of the following is the best type of model to choose if your organization wants to customize the model and avoid lock-in?
Answer: C
Explanation:
A classic machine learning model offers full customization, transparency, and portability, allowing the organization to tailor training data, model architecture, and deployment without dependence on a proprietary vendor, thereby avoiding lock-in.
NEW QUESTION # 64
An AI system's function, the industry and the location in which it operates are important factors in considering which of the following?
Answer: D
Explanation:
An AI system'sfunction,industry, anddeployment locationdefine itsrisk profile, which directly influences theinternal governance structuresan organization must put in place.
From theAI Governance in Practice Report 2025:
"There are many challenges and potential solutions for AI governance, each with unique proximityand significance based on an organization's role, footprint, broader risk-governance profile and maturity." (p. 4)
"AI governance starts with defining the corporate strategy for AI... and formulating policy standards and operational procedures to reflect industry, use case, and location." (p. 11) A- Organizational accountability is broader and not directly scoped by industry or function.
C- Diversity of data sources is tied to data strategy.
D- Explainability is more influenced by model type, not use context.
NEW QUESTION # 65
What is the most significant risk of deploying an AI model that can create realistic images and videos?
Answer: B
Explanation:
The greatest risk from AI systems generatingrealistic synthetic mediaisdownstream harm, such asdeepfakes, misinformation, reputational damage, and erosion of trust.
From theAI Governance in Practice Report2025:
"With generative AI, downstream harms such as deception, reputational damage, misinformation, and manipulation can emerge even if original use was lawful." (p. 55-56)
NEW QUESTION # 66
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