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Isaca AAIA Exam Questions
- 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.
Free Isaca AAIA Exam Actual Questions
Note: Premium Questions for AAIA were last updated On Feb. 25, 2026 (see below)
When converting data categories before training an AI model, which of the following scenarios represents the GREATEST risk?
The AAIA Study Guide emphasizes that encoding categorical variables must preserve the semantic meaning and order of categories when relevant. The greatest risk occurs when ordinal data---such as customer rewards tiers---is treated as nominal through one-hot encoding, which removes the inherent order and may impair model learning.
''Improper encoding of ordinal variables as nominal can distort the model's understanding of relationships, leading to inaccurate predictions or biased outcomes.''
Customer reward categories (economy < business < first class) have a natural order. One-hot encoding ignores this order, potentially degrading model accuracy. Other options represent nominal data and are appropriately encoded.
Which of the following is MOST important to consider when auditing an organization's AI procedures?
An organization's system development process has been enhanced with AI. Which of the following features presents the GREATEST risk?
Which of the following is the PRIMARY benefit of implementing a robust data governance framework specific to AI solutions in an organization?
Which of the following is MOST important for an IS auditor to consider when identifying AI risk in a know your customer (KYC) application within a banking organization?
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