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ISACA AAIA Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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.
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 (Q281-Q286):

NEW QUESTION # 281
When auditing a machine learning (ML) solution, false positives can BEST be assessed by examining the level of:

Answer: A


NEW QUESTION # 282
Which of the following BEST ensures that an AI system complies with user data ownership rights under privacy regulations?

Answer: A

Explanation:
A transparent data consent management process ensures users are informed about how their data will be used, and enables them to exercise their rights to consent, access, rectify, or delete their data. This is a core requirement under regulations such as GDPR and CCPA.
"Consent management is fundamental to respecting data ownership rights. Organizations must clearly disclose data usage purposes, provide opt-in/out capabilities, and maintain audit trails of user interactions."


NEW QUESTION # 283
Which of the following BEST describes "human-in-the-loop" as an AI control?

Answer: B

Explanation:
Human-in-the-loop controls insert human judgment at the decision point, particularly for high-risk or high-impact outputs, serving as a safeguard against automation errors.


NEW QUESTION # 284
Which of the following techniques BEST enhances the security and robustness of AI models against adversarial attacks?

Answer: D

Explanation:
Defensive distillation is a specialized technique designed to make an AI model more robust against adversarial "perturbations"--small changes to input data intended to trick the model. It works by training a smaller model to mimic the probability distributions of a larger, pre-trained model, which effectively "smooths" the decision boundaries and makes it harder for attackers to find exploitable gaps. While access reviews and awareness training are standard security controls, they do not address the mathematical vulnerabilities inherent in ML algorithms.
Defensive distillation specifically targets the model's resilience to technical exploitation.


NEW QUESTION # 285
Which of the following will provide the BEST evidence to support the alignment of an AI model with an organization's business objectives?

Answer: A

Explanation:
An AI model inventory documents the models in use, their purposes, and how they support specific business functions. According to the AAIA™ Study Guide, maintaining a comprehensive AI model inventory allows auditors to trace model objectives, performance metrics, and use cases back to business goals.
"A well-maintained AI model inventory supports governance and alignment by offering a centralized view of model functions, business integration, and ownership. It ensures transparency and strategic coherence." While policies and assessments are important, only the inventory directly shows which AI models exist and their connection to organizational objectives.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI in Audit Processes," Subsection: "Evidence and Documentation of AI Strategy Alignment"


NEW QUESTION # 286
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