Reliable ISACA AAIR Real Exam & Latest Study AAIR Questions

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ISACA AAIR Exam Syllabus Topics:

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

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                      ISACA Advanced in AI Risk Sample Questions (Q166-Q171):

                      NEW QUESTION # 166
                      Which of the following is the MOST important reason to include AI-specific risk and compliance clauses in vendor contracts?

                      Answer: A

                      Explanation:
                      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. AI-specific contract clauses should clearly allocate liability and responsibilities for breaches affecting models, data, and services. Baseline frameworks and anonymization duties may be included, but enforceable accountability is the key reason for risk-based contracting. This makes option A, Assignment of liability for breaches impacting models and training 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.


                      NEW QUESTION # 167
                      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?

                      Answer: D

                      Explanation:
                      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.


                      NEW QUESTION # 168
                      Which of the following AI techniques BEST helps to improve the accuracy of responses provided by a large language model (LLM) without extensive retraining?

                      Answer: A

                      Explanation:
                      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. Retrieval- augmented generation improves LLM responses by retrieving relevant external information at inference time and supplying it as context. This can improve grounding and currency without extensive retraining of the underlying model. This makes option B, Retrieval-augmented generation (RAG), 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.


                      NEW QUESTION # 169
                      Which of the following is MOST important when adding override controls to a deployed AI system?

                      Answer: B

                      Explanation:
                      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. Human override controls must preserve accountability. The organization should document who is authorized to intervene, under what conditions, and who owns the resulting decision so that human intervention does not create an accountability gap. This makes option D, Documenting accountability for decisions, 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.


                      NEW QUESTION # 170
                      An organization runs AI workloads on shared cloud infrastructure. Which of the following is the MOST significant risk?

                      Answer: B

                      Explanation:
                      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.


                      NEW QUESTION # 171
                      ......

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