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| Section | Objectives |
|---|---|
| Topic 1: AI Lifecycle Controls | - Controls across AI development lifecycle
|
| Topic 2: Regulatory and Compliance Requirements | - Global AI regulatory landscape
|
| Topic 3: AI Risk Management | - Risk identification and assessment for AI systems
|
| Topic 4: AI Governance and Strategy | - AI governance frameworks and organizational oversight
|
| Topic 5: Ethics, Privacy, and Responsible AI | - Ethical AI principles and compliance
|
>> AAIR Vorbereitungsfragen <<
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101. Frage
Which of the following is the MOST significant risk when an organization depends on a single AI vendor ' s proprietary environment?
Antwort: B
Begründung:
Within the ISACA Advanced in AI Risk framework, program management connects risk identification, control selection, treatment, monitoring, resilience, third-party oversight, and reporting to enterprise risk objectives. Dependence on a single proprietary AI environment can create vendor lock-in, making migration technically difficult, operationally disruptive, and expensive. Transparency and scalability are relevant concerns, but prohibitive switching costs are the central dependency risk. This makes option B, Prohibitive migration costs, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk-management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.
102. Frage
Which of the following would be of GREATEST concern to a risk practitioner reviewing an AI acceptable use policy for an organization that operates in a highly regulated environment?
Antwort: A
Begründung:
Within the ISACA Advanced in AI Risk framework, governance decisions should align AI use with policy, accountability, stakeholder expectations, risk appetite, and applicable legal or ethical obligations. In a highly regulated environment, an acceptable use policy without explicit privacy rules leaves users without clear limits for entering, processing, storing, or sharing regulated information through AI systems. This creates direct compliance and data-protection exposure. This makes option B, Lack of explicit data privacy rules and best practices, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk-management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.
103. Frage
An organization runs AI workloads on shared cloud infrastructure. Which of the following is the MOST significant risk?
Antwort: A
Begründung:
Within the ISACA Advanced in AI Risk framework, program management connects risk identification, control selection, treatment, monitoring, resilience, third-party oversight, and reporting to enterprise risk objectives. Shared cloud infrastructure creates confidentiality and integrity exposure for model weights and data. Unauthorized access can disclose proprietary models, sensitive training information, or customer data, making this more significant than cost, latency, or scaling concerns. This makes option B, Unauthorized access to model weights and data, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk-management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.
104. Frage
Which of the following is the PRIMARY benefit of implementing a formal data disposition process for AI training and operational datasets?
Antwort: A
Begründung:
Within the ISACA Advanced in AI Risk framework, life-cycle controls should protect data quality, model design, testing, validation, monitoring, change management, and secure retirement of AI systems. A formal data disposition process reduces unnecessary retention of AI training and operational data, thereby lowering the amount of sensitive information exposed to breach and reducing noncompliance with retention or data- minimization obligations. This makes option D, Reducing exposure to breaches and regulatory penalties, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk-management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.
105. Frage
An organization depends on automated decision systems for critical operations. Which of the following MOST effectively mitigates prolonged operational risk after system failures?
Antwort: C
Begründung:
Within the ISACA Advanced in AI Risk framework, program management connects risk identification, control selection, treatment, monitoring, resilience, third-party oversight, and reporting to enterprise risk objectives. Tabletop disaster recovery exercises test whether recovery roles, procedures, escalation paths, dependencies, and decisions will work during disruption. Restoration of artifacts is necessary after failure, but exercises validate the organization ' s ability to recover before an incident occurs. This makes option C, Conducting tabletop disaster recovery exercises, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk- management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.
106. Frage
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