AAIA試験の準備方法 |実際的なAAIA認定試験試験 |有難いISACA Advanced in AI Audit試験解答

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ISACA AAIA Exam Syllabus Topics:

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

>> AAIA認定試験 <<

試験AAIA認定試験 & 一生懸命にAAIA試験解答 | 認定するAAIA参考書内容

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ISACA Advanced in AI Audit 認定 AAIA 試験問題 (Q188-Q193):

質問 # 188
An organization's system development process has been enhanced with AI. Which of the following features presents the GREATEST risk?

正解：C

解説：
Allowing AI to autonomously generate code without human review introduces significant risks, including security vulnerabilities, logic errors, and noncompliance with organizational development standards. The AAIATM Study Guide strongly advocates for human-in-the-loop oversight, particularly in automated development contexts.
"AI-assisted development must include manual code reviews to ensure functionality, compliance, and security. Autonomous code generation without validation increases the risk of introducing undetected flaws."


質問 # 189
Which of the following is the GREATEST benefit of using large language models (LLMs) to identify potential control deficiencies?

正解：D

解説：
LLMs excel at processing large amounts of unstructured text (e.g., policies, process narratives, procedures). The GREATEST benefit is their ability to summarize and compare multiple documents to identify inconsistencies (B), which can signal potential control weaknesses or misalignments. This aligns with AAIA's description of AI-enabled audit analytics that support document analysis, narrative comparison, and pattern detection for control assessment.


質問 # 190
Which of the following is the MOST significant benefit of performing frequent AI model testing and retraining?

正解：A

解説：
AI models are not "static" systems; they are reflections of the data they were trained on. In dynamic environments, data patterns change constantly (e.g., market trends or new fraud tactics). Frequent testing and retraining ensure the model is "updated with current data," which prevents performance degradation and "data drift."


質問 # 191
An IS auditor is auditing an AI system that predicts inventory needs. The system recently failed to predict a stock outage for a key product. Which of the following audit tests would BEST validate the system's accuracy?

正解：A


質問 # 192
A healthcare AI tool recommends treatments with high success rates but significant risk. The hospital prioritizes patient safety over innovation. What is the BEST course of action?

正解：D

解説：
AI systems must align with theorganization's risk appetite and ethical principles, especially in healthcare where patient safety is paramount. The BEST action is toadjust the AI's parameters(A) so the recommendations reflect the hospital's conservative risk tolerance, reducing the frequency of high-risk suggestions. AAIA stresses AI governance alignment with organizational risk appetite, treatment guidelines, and ethical priorities.
Option B is overly disruptive and eliminates beneficial AI capabilities. Option C is necessary for privacy but does not address treatment safety. Option D limits utility but doesn't correct underlying alignment issues. The core issue ismodel alignment with ethical and safety standards, making option A the correct choice.
References:
ISACA,AAIA Exam Content Outline- Domain 5: Ethical Principles in AI (alignment with risk tolerance, safety, beneficence).


質問 # 193
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