Pass4Test에서 제공해드리는 ISACA인증 AAIR덤프는 가장 출중한ISACA인증 AAIR시험전 공부자료입니다. 덤프품질은 수많은 IT인사들로부터 검증받았습니다. ISACA인증 AAIR덤프뿐만아니라 Pass4Test에서는 모든 IT인증시험에 대비한 덤프를 제공해드립니다. IT인증자격증을 취득하려는 분들은Pass4Test에 관심을 가져보세요. 구매의향이 있으시면 할인도 가능합니다. 고득점으로 패스하시면 지인분들께 추천도 해주실거죠?
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Life Cycle Risk Management | 21% | - AI Data and Asset Management - AI Implementation, Maintenance, and Decommissioning - AI Model Training, Testing, and Validation - AI Design, Development/Procurement, and Documentation |
| Topic 2: AI Risk Governance and Framework Integration | 37% | - AI Models, Frameworks, Strategies, and Use Cases - AI Trustworthiness, Ethical and Societal Implications - AI Regulatory Compliance and Legal Considerations - AI Organizational Processes and Alignment - AI Policies, Procedures, and Organizational Training - AI Ownership, Oversight, and Accountability |
| Topic 3: AI Risk Program Management | 42% | - AI Risk Monitoring and Reporting - AI Risk Response and Mitigation - AI Risk Assurance and Continuous Improvement - AI Risk Identification and Assessment |
ISACA인증 AAIR시험을 한방에 편하게 통과하여 자격증을 취득하려면 시험전 공부가이드가 필수입니다. Pass4Test에서 연구제작한 ISACA인증 AAIR덤프는ISACA인증 AAIR시험을 패스하는데 가장 좋은 시험준비 공부자료입니다. Pass4Test덤프공부자료는 엘리트한 IT전문자들이 자신의 노하우와 경험으로 최선을 다해 연구제작한 결과물입니다.IT인증자격증을 취득하려는 분들의 곁은Pass4Test가 지켜드립니다.
질문 # 32
Which of the following is MOST important when defining responsible roles for integrating third-party AI services into an organization's supply chain?
정답：D
설명：
Third-party AI service integration introduces distributed accountability challenges. When external services are incorporated into organizational supply chains, clearly designated ownership of AI governance and risk is essential to ensure responsibilities do not fall into gaps between internal and external parties.
Why A is Correct: According to ISACA AAIR third-party risk principles, designating AI governance and risk ownership is the foundational requirement for supply chain integration. Without clear internal ownership, third-party AI risks cannot be effectively monitored, escalated, or managed. The designated owner ensures vendor performance is assessed against risk criteria, contractual obligations are enforced, and emerging risks are addressed.
Why B is Wrong: Standardizing data transfer protocols is a technical integration concern. While important for security and operations, it does not address who is responsible for managing the ongoing governance and risk of the integrated service.
Why C is Wrong: Training third-party staff on internal AI policies is a vendor management activity that may be contractually required but does not substitute for internal governance ownership. Third-party training does not remove the organization's responsibility for oversight.
Why D is Wrong: Security policy alignment is important for consistent security posture but represents one dimension of third-party risk management. Governance and risk ownership encompasses security policy alignment as well as broader risk management responsibilities.
질문 # 33
Which of the following is the MOST important objective when selecting AI controls based on dataset evaluation and validation?
정답：B
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. Dataset validation controls should protect the fairness and accuracy of model behavior by ensuring data is suitable, representative, and reliable. Real-time recalibration, framework alignment, and explainability monitoring are useful but do not replace this core objective. This makes option C, Preserving model fairness and accuracy, 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 di rectly. 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 MOST likely to be found in a risk mitigation plan for AI systems?
정답：C
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 # 35
A risk practitioner reviews an AI model that ingests diverse external feeds and determines that their reliability is not consistent. Which of the following BEST mitigates this risk?
정답：D
설명：
Inconsistent data reliability from external feeds undermines model accuracy and creates auditability challenges. The solution requires both understanding where data comes from (provenance) and verifying its quality before it enters the model's learning process (stage gate reviews).
Why C is Correct: The ISACA AAIR data quality governance guidance identifies establishing data provenance and implementing stage gate quality reviews as the comprehensive approach to managing inconsistent external data reliability. Provenance tracking records the origin, processing history, and chain of custody of each data source, enabling quality issues to be traced to their source. Stage gate reviews enforce quality standards at defined points in the data pipeline, preventing unreliable data from advancing to model training.
Why A is Wrong: Weighting historical data over recent samples introduces temporal bias and prevents the model from reflecting current real-world conditions-the opposite of what most AI applications require. This trade-off may be appropriate in specific contexts but is not a general mitigation for inconsistent data reliability.
Why B is Wrong: Updating model versions improves model architecture and training processes but does not resolve the underlying external data quality problems. The model update cannot compensate for ingesting unreliable data.
Why D is Wrong: Reducing data source diversity sacrifices the breadth of information that diverse feeds provide, potentially reducing model performance and representativeness. The goal is to ensure consistent quality from diverse sources, not to reduce diversity.
질문 # 36
Which of the following BEST mitigates the risk of misaligned return on investment (ROI) in AI initiatives?
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. Mapping AI project outcomes to enterprise performance metrics ties investment to measurable organizational value. An inventory improves visibility and workforce metrics measure only one dimension, while a narrow focus on quantifiable benefits can miss strategic value. This makes option C, Mapping AI project outcomes to enterprise performance metrics, 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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Pass4Test에는 베터랑의전문가들로 이루어진 연구팀이 잇습니다, 그들은 it지식과 풍부한 경험으로 여러 가지 여러분이ISACA인증AAIR시험을 패스할 수 있을 자료 등을 만들었습니다, Pass4Test 에서는 일년무료 업뎃을 제공하며, Pass4Test 의 덤프들은 모두 높은 정확도를 자랑합니다. Pass4Test 선택함으로 여러분이ISACA인증AAIR시험에 대한 부담은 사라질 것입니다.
AAIR퍼펙트 덤프데모 다운로드: https://www.pass4test.net/AAIR.html