目前，考生報考 ISACA 認證最多的科目：AAIR。選擇 AAIR 考古題準備考試只是一種方式，優點在于快速有效的幫助考生通過考試。缺點就是缺乏實踐，實踐是在平時的工作之余可以勤加練習。如果決定參加 AAIR 認證考試并通過考試，拿到屬于自己的 ISACA 的 AAIR 認證是當務之急。而 AAIR 考古題可以幫助你在準備考試時節省很多的時間，順利通過考試。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Risk Program Management | 42% | - AI Risk Response and Mitigation - AI Risk Monitoring and Reporting - AI Risk Identification and Assessment - AI Risk Assurance and Continuous Improvement |
| Topic 2: AI Life Cycle Risk Management | 21% | - AI Model Training, Testing, and Validation - AI Implementation, Maintenance, and Decommissioning - AI Design, Development/Procurement, and Documentation - AI Data and Asset Management |
| Topic 3: AI Risk Governance and Framework Integration | 37% | - AI Organizational Processes and Alignment - AI Models, Frameworks, Strategies, and Use Cases - AI Regulatory Compliance and Legal Considerations - AI Ownership, Oversight, and Accountability - AI Trustworthiness, Ethical and Societal Implications - AI Policies, Procedures, and Organizational Training |
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問題 #151
An organization has deployed an AI system that initially performs well but whose outputs deteriorate over time despite stable input characteristics. Which of the following is the BEST course of action?
答案：D
解題說明：
Output deterioration despite stable inputs is a classic indicator of model drift-specifically concept drift, where the underlying relationships between inputs and targets change over time even when the distribution of inputs appears stable. This requires ongoing monitoring and systematic recalibration.
Why D is Correct: The ISACA AAIR life cycle management guidance identifies continuous performance monitoring and scheduled recalibration as the appropriate response to model drift. Monitoring provides early warning when performance degrades below thresholds, while scheduled recalibration ensures the model is periodically updated to reflect current real-world patterns. This systematic approach prevents continued deterioration and maintains model reliability.
Why A is Wrong: Source code audits and peer reviews address development quality and code integrity, not model drift. Drift is a statistical phenomenon driven by changing data relationships, not code defects that code reviews can identify.
Why B is Wrong: Replacing predictive AI with static rule-based systems eliminates the adaptive capabilities that make AI valuable. Static rules cannot respond to evolving patterns and typically perform worse in dynamic environments.
Why C is Wrong: Dataset cleansing addresses data quality for model retraining but does not establish the ongoing monitoring mechanism needed to detect future drift. A one-time cleansing activity cannot prevent recurrent deterioration.
問題 #152
Which of the following would BEST mitigate operational and legal risk exposure when integrating third-party AI services?
答案：A
解題說明：
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. Third-party AI creates shared operational and legal obligations, so a responsibility matrix should clearly define accountability for controls, data, incidents, compliance, and remediation. Delegation does not remove the organization ' s own responsibility. This makes option C, Defining a responsibility matrix and accountability for all parties, 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 #153
Which of the following is the PRIMARY benefit of implementing a comprehensive data pipeline for AI model training, testing, and validation?
答案：B
解題說明：
A comprehensive, well-designed data pipeline establishes consistent, documented processes for data collection, preprocessing, transformation, and quality validation across training, testing, and validation stages.
This systematic approach reduces the likelihood of data errors propagating through to the final model.
Why A is Correct: According to ISACA AAIR data pipeline governance guidance, the primary benefit of a comprehensive pipeline is reducing error propagation risk. By applying consistent quality checks, validation gates, and transformation rules throughout the pipeline, errors in raw data are detected and corrected before they influence model training. This prevents data quality failures from compounding into model accuracy and bias problems-producing a higher-quality, more reliable final model.
Why B is Wrong: Governance risk sharing with external providers occurs through contractual arrangements and shared responsibility frameworks, not through data pipeline implementation. Pipeline design is an internal quality management measure.
Why C is Wrong: Automation of early-stage pipeline tasks is an operational efficiency benefit. While valuable, efficiency is a secondary benefit compared to the primary purpose of ensuring data quality and reducing error risk.
Why D is Wrong: Enhanced auditability is an important governance benefit that pipeline documentation provides but is not the primary purpose of pipeline implementation. The primary purpose is quality assurance during model development; auditability is a beneficial side effect.
問題 #154
An organization has identified a moderate AI exposure from potential model inaccuracies that could affect internal reporting. The risk falls within the organization's defined tolerance. Which of the following is the BEST course of action?
答案：A
解題說明：
Risk treatment decisions must be proportionate to the risk level relative to organizational tolerance. When risk falls within defined tolerance, the appropriate treatment is formal acceptance with ongoing monitoring-not escalation of controls or system suspension that would be disproportionate to the risk level.
Why A is Correct: According to ISACA AAIR risk treatment guidance, when identified risk falls within the organization's tolerance threshold, the appropriate response is documented risk acceptance with continued monitoring against thresholds. This proportionate response preserves operational efficiency while maintaining oversight. Implementing controls beyond what the risk level warrants wastes resources and may introduce unnecessary operational disruption.
Why B is Wrong: Aggressively lowering model temperature changes model output characteristics and requires comprehensive retesting-a significant investment of resources. This disproportionate technical response is not warranted for risk that is already within tolerance.
Why C is Wrong: Allocating additional human review resources increases operational costs to manage a risk that the organization has determined is already acceptable. Additional controls beyond tolerance-appropriate levels represent unnecessary risk over-treatment.
Why D is Wrong: Taking the system offline for retraining is a drastic risk avoidance response appropriate only when risk exceeds tolerance or when an active harm is occurring. For risk within tolerance, system suspension is entirely disproportionate and unnecessary.
問題 #155
Which of the following is the MOST effective approach to help ensure compliance with AI acceptable use policies?
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. Acceptable use policies become effective when employees understand AI risks and how policy requirements apply in practice. Embedding AI risk awareness in training supports consistent user behavior, recognition of misuse, and appropriate escalation. This makes option D, Building trust by embedding AI risk awareness within organizational training, 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 #156
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