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| Certification Vendor: | ISACA |
|---|---|
| Exam Name: | ISACA Advanced in AI Audit |
| Exam Number: | AAIA |
| Exam Format: | Scenario-based questions, Multiple-choice questions, Computer-based testing |
| Certificate Validity Period: | 3 years |
| Related Certifications: | ACCA CIA CPA FCCA CISA |
| Available Languages: | English, Chinese, Spanish |
| Exam Price: | US$459 (member) / US$599 (non-member) |
| Exam Duration: | 150 minutes |
| Real Exam Qty: | 90 |
| Passing Score: | 450 (scaled, range 200–800) |
| Recommended Training: | AAIA Official Review Course AAIA Review Manual |
| Exam Registration: | ISACA Official Registration |
| Sample Questions: | ISACA AAIA Sample Questions |
| Exam Way: | Computer-based; PSI test centers or remote proctored (remote not available in India, Mainland China, Hong Kong) |
| Pre Condition: | Hold active CISA, CIA, CPA, ACCA, FCCA or equivalent qualified certification with IT audit/advisory focus |
| Official Syllabus URL: | https://www.isaca.org/credentialing/aaia/aaia-exam-content-outline |
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NEW QUESTION # 140
An IS auditor is looking to expedite reporting for an audit with complex issues. Which of the following would be the MOST effective way for the auditor to use generative AI?
Answer: A
Explanation:
The AAIATM Study Guide highlights that generative AI tools can significantly enhance audit productivity, especially in content generation tasks. Drafting executive summaries--condensing complex findings into clear, concise formats--is a high-impact use case that benefits from generative AI's natural language generation capabilities.
"Generative AI can be leveraged by auditors to automate reporting sections, such as executive summaries, ensuring consistency and saving time without compromising content clarity."
NEW QUESTION # 141
When an auditor is using AI to test controls, what would be the HIGHEST risk to the audit's integrity?
Answer: B
Explanation:
The ISACA AAIATM framework highlights that the use of AI in auditing does not relieve the auditor of their responsibility for professional judgment. The highest risk is "Over-reliance" or
"Automation Bias," where the auditor accepts AI-generated conclusions without independent validation. If the AI makes a false conclusion due to a hallucination or biased logic, and the auditor fails to "check under the hood," the entire audit report becomes unreliable.
NEW QUESTION # 142
Which of the following is the GREATEST challenge facing IS auditors evaluating the explainability of generative AI models?
Answer: C
Explanation:
The greatest challenge for IS auditors in evaluating the explainability of generative AI models is the changing nature of algorithms as AI continues to learn (option D). Generative AI models, especially those using advanced techniques like deep learning and reinforcement learning, often employ continuous or dynamic learning, which results in models that evolve over time. This adaptability can significantly hinder explainability because the logic, parameters, or decision pathways may shift with ongoing retraining or real-time learning.
The ISACA Advanced in AI AuditTM (AAIATM) Study Guide stresses that: "Continually learning AI systems present unique audit challenges, as their internal representations and reasoning can change after deployment, making it difficult to fully capture and explain the rationale for outputs at any given point."
NEW QUESTION # 143
Which of the following is the GREATEST risk when an organization uses publicly available social media data to train its AI model without obtaining explicit user consent?
Answer: D
Explanation:
Using social media data without consent raises severe legal and ethical concerns. According to the AAIATM manual, the greatest risk is the "Violation of data privacy regulations" (such as GDPR or CCPA), which can result in significant legal penalties, mandatory deletion of models, and litigation. Even if the data is "public," privacy laws often restrict the use of personal information for automated decision-making or profiling without a clear legal basis (like consent).
NEW QUESTION # 144
Which of the following is the BEST way to support the development and design of high-risk AI systems?
Answer: D
NEW QUESTION # 145
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