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ISACA AAIA Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: AI Auditing Tools and Techniques21%- Audit Planning and Design
- Data Quality and Analytics for AI Audit
- Audit Testing and Sampling Methodologies
- AI Audit Outputs and Reporting
- Audit Evidence Collection Techniques
Topic 2: AI Governance and Risk33%- Ethics, Regulations, and Standards for AI
- Privacy and Data Governance Programs
- AI Governance and Program Management
- AI Models, Considerations, and Requirements
- AI Risk Management
Topic 3: AI Operations46%- Incident Management and Resilience
- Third-Party and Supply Chain Risk
- Performance Monitoring and Evaluation
- Operational Controls and Readiness
- AI System Lifecycle and Deployment

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最新的 Advanced in AI Audit AAIA 免費考試真題 (Q280-Q285):

問題 #280
The GREATEST benefit of using AI auditing techniques over traditional methods is that AI auditing techniques can:

答案:A

解題說明:
AI auditing techniques excel at identifying complex data patterns (option C), which is their primary advantage over manual or traditional audit approaches. The AAIA™ Study Guide states, "AI-based audit tools can process massive volumes of data at speed and depth, detecting anomalies, trends, or relationships that might be invisible to human auditors or unfeasible to uncover manually." AI does not fully eliminate the need for human involvement, nor does it guarantee compliance or the elimination of bias, but it can analyze intricate patterns in large, multidimensional data sets.
Reference:ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "Advantages of AI-Enabled Audit Approaches"


問題 #281
Which of the following are the MOST appropriate stages in the AI life cycle for evaluating edge cases?

答案:C

解題說明:
Evaluatingedge cases-rare but critical scenarios where AI may behave unpredictably-must be done during thetest and verifystage (D). This phase is designed to simulate extreme or unusual inputs, validate performance under stress, and ensure robustness and safety before deployment. AAIA highlights that robustness testing, including edge case evaluation, is a key testing technique for AI solutions.
While planning (A) and data collection (C) prepare inputs, they do not evaluate model behavior. Operating and monitoring (B) may detect issues later, but edge case testing must occurpre-deploymentto reduce risk.
References:
ISACA,AAIA Exam Content Outline- Domain 2: Testing Techniques for AI Solutions (edge cases, robustness testing).


問題 #282
An IS auditor is evaluating a large language model (LLM) before deployment. Which of the following is the MOST secure way to manage agency for the model?

答案:D

解題說明:
"Agency" refers to the model's ability to take actions or access data. LLMs are non-deterministic and can be tricked via "prompt injection" to ignore their internal rules. Therefore, "Authorization and privilege checks" must be performed by a separate, deterministic security layer that is
"independent of the LLM." According to the ISACA AAIATM Study Guide, you should never allow an AI to decide its own permissions (Option D) or those of other systems. If a user asks an AI to delete a file, the AI should simply "request" the deletion, and a standard, non-AI security system should check if the user has the right to do so. This maintains the "Principle of Least Privilege" and prevents unauthorized actions via model manipulation.


問題 #283
During an audit of a bank's AI credit scoring system, an IS auditor discovers that applicants were not informed about automated decision-making. Which of the following should the auditor do FIRST?

答案:C

解題說明:
Transparency is a fundamental legal and ethical requirement for AI systems, particularly under regulations like GDPR, which mandate that data subjects be informed of automated decision- making. If an auditor finds that applicants were not informed, the immediate "First" step is to
"Evaluate transparency controls" to determine why the notification process failed and to assess the scope of the non-compliance. This includes reviewing user agreements, privacy notices, and communication procedures.


問題 #284
Which of the following evaluation criteria is the HIGHEST priority when auditing an organization ' s management of AI vendors?

答案:B

解題說明:
When outsourcing AI, the organization retains accountability for the model ' s decisions. The highest priority for an auditor is ensuring " Interpretability " -the ability of the vendor to provide tools or documentation that explain the model ' s rationale. Without this, the organization cannot satisfy regulatory requirements for transparency (e.g., GDPR Right to Explanation) or verify that the vendor ' s model is not biased. While SLOs (Option B) are important for operational uptime, they do not mitigate the ethical or legal risks associated with
" Black Box " algorithms provided by third parties.


問題 #285
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