인재가 넘치는 IT업계에서 자기의 자리를 지켜나가려면 학력보다 능력이 더욱 중요합니다.고객님의 능력을 증명해주는 수단은 국제적으로 승인받은 IT인증자격증이 아니겠습니까? ISACA인증 AAIR시험이 어렵다고 하여 두려워 하지 마세요. IT자격증을 취득하려는 분들의 곁에는KoreaDumps가 있습니다. KoreaDumps의ISACA인증 AAIR시험준비를 하시고 시험패스하여 자격증을 취득하세요. 국제승인 자격증이라 고객님의 경쟁율을 업그레이드 시켜드립니다.
| Section | Weight | Objectives |
|---|---|---|
| AI Life Cycle Risk Management | 21% | - AI Data and Asset Management - AI Implementation, Maintenance, and Decommissioning - AI Design, Development/Procurement, and Documentation - AI Model Training, Testing, and Validation |
| AI Risk Governance and Framework Integration | 37% | - AI Trustworthiness, Ethical and Societal Implications - AI Organizational Processes and Alignment - AI Regulatory Compliance and Legal Considerations - AI Models, Frameworks, Strategies, and Use Cases - AI Ownership, Oversight, and Accountability - AI Policies, Procedures, and Organizational Training |
| AI Risk Program Management | 42% | - AI Risk Identification and Assessment - AI Risk Response and Mitigation - AI Risk Monitoring and Reporting - AI Risk Assurance and Continuous Improvement |
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질문 # 32
Which of the following is MOST likely to be found in a risk mitigation plan for AI systems?
정답：D
설명：
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. A risk mitigation plan should contain concrete measures that reduce identified AI risks, such as controls for data poisoning and algorithmic bias. Strategic objectives and vendor-selection criteria are governance inputs, not the actual treatment measures for the identified risk. This makes option C, Measures to address issues such as data poisoning and algorithmic bias, 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.
질문 # 33
A risk practitioner assesses an AI model used for predictive diagnostics and finds that the system lacks automated update mechanisms. Which of the following is the GREATEST risk?
정답：D
설명：
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 predictive diagnostic model that cannot update may continue using assumptions that no longer reflect current conditions, compromising accuracy as the environment changes. Human effort is secondary to the risk of incorrect predictions based on stale relationships. This makes option D, Compromise of predictive accuracy due to outdated model assumptions, 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.
질문 # 34
Which of the following is the BEST governance approach for balancing risk management and operational flexibility across diverse AI applications?
정답：C
설명：
AI governance across diverse applications requires frameworks flexible enough to accommodate varying risk profiles, regulatory environments, and operational contexts while maintaining consistent governance standards. Rigid or overly centralized approaches reduce operational effectiveness.
Why B is Correct: The ISACA AAIR framework advocates for adaptable governance frameworks that can be scaled and tailored to specific AI use cases. A risk-based, adaptable framework applies more rigorous controls to high-risk applications while allowing operational flexibility for lower-risk uses. This balance enables innovation while maintaining appropriate risk oversight-a core principle of proportionate AI governance.
Why A is Wrong: Single-regulation compliance focus creates compliance tunnel vision that may miss material risks not covered by that regulation. AI governance must address the full risk landscape, not just one regulatory framework.
Why C is Wrong: External consultants provide periodic independent assurance, not governance. Relying on external reviews for governance would be episodic rather than continuous, creating governance gaps between review cycles.
Why D is Wrong: Centralized decision-making creates operational bottlenecks and slows AI deployment.
Effective governance delegates decision authority appropriately while maintaining oversight, rather than centralizing all decisions in a single function.
질문 # 35
Which of the following is the MOST important consideration when developing AI security policies?
정답：A
설명：
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 security policies should be relevant to the organization ' s current and planned use cases and strategic objectives. A policy disconnected from actual AI adoption will not establish useful requirements for the risks the organization is taking. This makes option B, Relevance to current and projected AI use cases and strategic objectives, 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.
질문 # 36
An organization formally accepts residual risk for a low-impact AI capability after confirming it falls within the enterprise risk tolerance.
What is the primary benefit of this risk acceptance action?
정답：A
설명：
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. When residual risk is within tolerance and affects non-critical functions, formal acceptance is proportionate and allows scarce mitigation resources to be directed toward higher-impact exposures.
Acceptance must still be documented and monitored rather than treated as inaction. This makes option A, It enables the allocation of mitigation resources to more critical AI-specific issues, 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.
질문 # 37
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