100% Pass Quiz 2026 ISACA AAIA: ISACA Advanced in AI Audit–The Best Reliable Exam Review

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ISACA AAIA Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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.
Topic 3
  • 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.

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ISACA Advanced in AI Audit Sample Questions (Q100-Q105):

NEW QUESTION # 100
Which of the following is MOST important for an IS auditor to review during an AI system audit in order to determine compliance with intellectual property and data rights?

Answer: A


NEW QUESTION # 101
Which of the following is the BEST approach to mitigate the risk of " AI model degradation " ?

Answer: C

Explanation:
Model degradation occurs as the " Freshness " of the training data wanes and real-world conditions evolve.
The most robust control is " Periodic human reviews " (Human-in-the-Loop). Human experts can identify " drift " in logic or common-sense failures that automated systems might miss. Relying on model-generated data (Option A) can lead to " Model Collapse, " where the AI begins to drift into nonsensical patterns by reinforcing its own previous outputs. Human oversight ensures the model remains grounded in reality and aligned with business objectives.


NEW QUESTION # 102
Which of the following is the GREATEST risk of using AI to generate audit reports?

Answer: C

Explanation:
Thegreatest riskwhen using AI to generate audit reports is that it maymisrepresent control effectiveness(B)
-for example, by overstating the robustness of controls, understating deficiencies, or summarizing findings inaccurately. This undermines the reliability of the entire audit and can lead to poor management decisions, regulatory issues, and reputational damage. AAIA emphasizes that AI-generated artifacts still require professional judgment and validationto ensure they accurately reflect audit evidence and conclusions.
Inconsistent formatting (A) and lack of integration (C) are usability and efficiency issues, not fundamental assurance risks. Inability to incorporate historical findings (D) reduces context but does not inherently misstate the current control assessment. Therefore,misrepresentation of control effectivenessis the most critical risk from an assurance standpoint.
References:
ISACA,AAIA Exam Content Outline- Domain 3: AI in Audit Processes (Audit reporting and communication).
ISACA guidance on professional skepticism and validation of AI-generated insights in audit.


NEW QUESTION # 103
Which of the following do supervised AI learning models PRIMARILY use to train algorithms?

Answer: B


NEW QUESTION # 104
Which of the following BEST describes the purpose of a "model validation" function that is independent from the model development team?

Answer: D

Explanation:
Independent model validation mirrors the "second line of defense" concept in risk management -- separating those who build the model from those who challenge and approve it reduces conflict of interest and confirmation bias.


NEW QUESTION # 105
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