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ISACA AAIR Exam Syllabus Topics:

SectionObjectives
Topic 1: AI Governance and Strategy- AI governance frameworks and organizational oversight
  • 1. Policy development for AI systems
    • 2. Roles and responsibilities in AI governance
      Topic 2: AI Risk Management- Risk identification and assessment for AI systems
      • 1. Operational risk in AI deployment
        • 2. Model risk identification
          Topic 3: Regulatory and Compliance Requirements- Global AI regulatory landscape
          • 1. Industry standards for AI risk management
            • 2. Data protection and privacy regulations
              Topic 4: AI Lifecycle Controls- Controls across AI development lifecycle
              • 1. Model validation and testing
                • 2. Data quality and preparation controls
                  Topic 5: Ethics, Privacy, and Responsible AI- Ethical AI principles and compliance
                  • 1. Transparency and explainability
                    • 2. Bias and fairness mitigation

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                      最新的 AI Risk AAIR 免費考試真題 (Q47-Q52):

                      問題 #47
                      An organization has deployed generative AI tools broadly but lacks a consistent method to refresh governance policies and controls. Which of the following is the risk practitioner's BEST recommendation?

                      答案：D

                      解題說明：
                      Generative AI capabilities and the associated risk landscape evolve rapidly. Governance policies and controls must be refreshed through a structured, regular process rather than reactively or only when compliance requirements change.
                      Why A is Correct: According to ISACA AAIR, establishing a regular review cadence with codified reassessment procedures is the most robust approach because it creates a systematic, predictable process for keeping governance current. By documenting when and how policies will be reviewed-including triggers for ad hoc review (new deployments, incidents, regulatory changes)-the organization ensures governance never stagnates regardless of external pressures.
                      Why B is Wrong: Regulatory alignment is an important input to governance refresh but represents a reactive, external-trigger approach. Relying primarily on regulatory signals means governance lags behind organizational AI changes not covered by new regulations.
                      Why C is Wrong: Centralizing authority in executive and technical leadership creates decision bottlenecks and reduces the operational agility needed to keep pace with rapidly evolving AI deployments. Distributed governance with clear escalation paths is more effective.
                      Why D is Wrong: Annual reviews are too infrequent for generative AI tools, which may see significant capability changes and risk profile shifts multiple times per year. Annual compliance audits cannot keep governance current in a rapidly evolving AI environment.


                      問題 #48
                      Which of the following is the PRIMARY concern associated with AI-based attacks on systems that store personal data?

                      答案：D

                      解題說明：
                      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. AI-enabled re-identification is a direct privacy risk because models can combine attributes that appear harmless in isolation and infer an individual identity. This can defeat ordinary masking or pseudonymization and create regulatory exposure even when direct identifiers are absent. This makes option C, AI models may be able to identify combinations of attributes that can be used to re-identify individuals, 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.


                      問題 #49
                      Which of the following poses the GREATEST risk during the development phase of an AI system?

                      答案：B

                      解題說明：
                      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. Data poisoning can corrupt the learning process before deployment and embed harmful or biased behavior into the resulting model. Because it attacks training-data integrity directly, inadequate poisoning mitigation is a major development-phase risk. This makes option A, Inadequate mitigation of data poisoning attacks, 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.


                      問題 #50
                      Which of the following is the GREATEST societal risk posed by the dissemination of deepfakes created with AI image generation technology?

                      答案：D

                      解題說明：
                      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. Deepfakes can fabricate convincing audio, images, or video at scale and therefore create a major societal risk of misinformation, manipulation, and erosion of public trust. IP or privacy harms can occur, but misinformation is the broadest societal exposure. This makes option C, Widespread misinformation, 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.


                      問題 #51
                      Which of the following is the MOST important consideration to reduce risk during the development of a large language model (LLM)?

                      答案：D

                      解題說明：
                      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. Security should be assessed throughout LLM design, development, testing, deployment, and maintenance so vulnerabilities and unsafe behaviors are identified before becoming embedded in production. Threat analysis and staff training are supporting activities within that broader secure lifecycle. This makes option D, Ensuring security is assessed throughout the development life cycle, 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.


                      問題 #52
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