AAIA認證考試 & AAIA題庫分享

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ISACA AAIA 考試大綱：

主題	簡介
主題 1	Auditing Tools and Techniques: This section of the exam measures the skills of AI auditors and centers on auditing AI systems using appropriate tools and methods. It includes audit planning and design, sampling methodologies specific to AI, collecting audit evidence, using data analytics for quality assurance, and producing AI audit outputs and reports, including follow-up and quality control measures.
主題 2	AI GOVERNANCE AND RISK: It encompasses understanding different AI models and their life cycles, guiding AI strategy, defining roles and policies, managing AI-related risks, overseeing data privacy and governance, and ensuring adherence to ethical practices, standards, and regulations.
主題 3	AI Operations: It covers managing AI-specific data needs—including collection, quality, security, and classification—applying development lifecycle methodologies with privacy and security by design, change and incident management, testing AI solutions, identifying AI-related threats and vulnerabilities, and supervising AI deployments.

>> AAIA認證考試 <<

ISACA AAIA題庫分享，AAIA學習筆記

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最新的 Advanced in AI Audit AAIA 免費考試真題 (Q214-Q219):

問題 #214
An organization seeks to sustain effective AI governance and risk management amid rapidly evolving AI technologies. Which of the following represents the MOST effective course of action?

A. Integrate continuous AI training into security awareness programs.
B. Provide role-specific AI training to technical staff.
C. Conduct comprehensive AI training for senior management.
D. Outsource AI training to external vendors.

答案：A

解題說明：
Sustaining effective AI governance and risk management requires continuous, organization-wide awareness, not just one-off or role-limited training. Option D embeds AI topics (governance, risk, ethics, privacy, and security) into the existing security awareness program, which is already a recurring and mandatory mechanism across the enterprise. This supports ongoing adaptation to rapidly evolving AI technologies, aligns with ISACA's emphasis on integrating AI risk considerations into existing governance and risk frameworks, and ensures that staff at all levels understand their responsibilities.

問題 #215
Which of the following is the BEST recommendation to mitigate excessive agency when implementing an AI system as a browser extension?

A. Maximize browser extension functionality.
B. Minimize browser extension functionality.
C. Remove user access to browser extensions.
D. Use open-source browser extensions.

答案：B

解題說明：
Excessive agencyoccurs when AI systems act too autonomously, making decisions without appropriate human oversight. To mitigate this in a browser extension, the BEST approach is tominimize functionality (A), ensuring the extension performs only narrowly defined, controlled actions. This aligns with AAIA's guidance onlimiting AI autonomy, applying least-privilege principles, and restricting unnecessary actions.
Removing user access entirely (B) is overly restrictive. Maximizing functionality (C) increases risk. Open- source extensions (D) improve transparency but do not inherently control excessive agency.Scope limitation is the most targeted and effective mitigation.
References:
ISACA,AAIA Exam Content Outline- Domain 1: Governance, AI Autonomy, and Risk Controls.

問題 #216
Which control is MOST important to verify in order to ensure proper data management with AI systems?

A. Data has been labeled according to sensitivity.
B. A data governance framework has been established.
C. A data inventory has been determined.
D. Appropriate data metrics have been developed.

答案：B

解題說明：
According to the ISACA AAIA™ Study Guide, a " Data Governance Framework " is the foundational control. It provides the policies, roles (stewards, owners), and standards necessary to manage the entire data lifecycle. Without a framework, activities like inventorying (Option C) or labeling (Option D) are ad-hoc and lack accountability. A formal framework ensures that data management is consistent, compliant with privacy laws, and aligned with the organization's risk tolerance. It is the " enabling " control that makes all other data quality and security metrics meaningful and enforceable.

問題 #217
The internal audit department of a large global organization is evaluating the use of an AI-based voice-to- speech tool to document interviews during audits. The tool uploads all recordings to a cloud service provider for transcription. Which of the following is the GREATEST risk?

A. Unauthorized access to sensitive data by the cloud vendor
B. Potential data loss resulting from service downtime or failures
C. Inaccurate transcriptions impacting reliability of audit records
D. Privacy concerns arising from data storage in the cloud

答案：A

解題說明：
Audit interviews often contain highly sensitive, proprietary, or even non-public information. Uploading these recordings to a cloud provider introduces the " Risk of unauthorized access " by the vendor ' s employees or through a security breach at the vendor ' s site. According to ISACA, the loss of " Confidentiality " over audit workpapers is a critical failure of professional standards. While inaccurate transcriptions (Option D) are a nuisance, they can be corrected by the auditor; however, once sensitive data is compromised by a third party, the damage is irreversible. Auditors must ensure the vendor has rigorous " encryption " and " at-rest " security attestations.

問題 #218
Which of the following AI system characteristics would BEST help an IS auditor evaluate the system's algorithm?

A. The AI system provides transparent justification of decisions.
B. The AI system algorithm uses training data to inform decision output.
C. The AI system provides multiple options for model training.
D. The AI system uses archived transaction data to provide decisions.

答案：A

解題說明：
Transparency is a foundational principle for AI governance and effective risk management. When evaluating AI systems, IS auditors must assess not just how an algorithm functions, but also whether its processes and decisions are understandable and explainable. According to the ISACA Advanced in AI AuditTM (AAIATM) Study Guide, "algorithmic transparency--enabling auditors and stakeholders to see and understand the rationale behind automated decisions--is essential for ensuring accountability, fairness, and compliance with both organizational policies and regulatory requirements." Transparent justification of decisions (option C) directly supports an auditor's ability to evaluate the appropriateness, logic, and fairness of the AI's outputs. This is critical in identifying bias, ensuring ethical considerations are met, and verifying that outcomes are consistent with intended objectives. Without transparent justification, it is difficult for an IS auditor to independently assess whether decisions are being made based on valid, legal, and ethical grounds.

問題 #219
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