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  4. ISACA.AAIA.v2026-06-21.q153 Dumps
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Question 96

Which of the following is the BEST key performance indicator (KPI) to measure a model's performance on imbalanced datasets?

Correct Answer: A
For imbalanced datasets, standard "accuracy" or "error rate" is misleading (e.g., if 99% of transactions are legitimate, a model that predicts "legitimate" every time is 99% accurate but useless for fraud detection). The "F1 score" is the harmonic mean of Precision and Recall, providing a balanced metric that considers both false positives and false negatives. It is the industry-standard KPI for evaluating how well a model handles the minority class. While Precision and Recall are valuable individually, the F1 score provides a single, comprehensive measure of the model's effectiveness in skewed environments.
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Question 97

What is the MOST significant audit risk when an organization uses a pretrained foundation model fine-tuned on internal data?

Correct Answer: B
Fine-tuning does not eliminate biases or weaknesses baked into the base model; if the foundation model's original training data and behavior are not transparent, inherited risks can persist undetected.
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Question 98

Which of the following is the MOST important course of action for an organization prior to allowing end users to utilize an AI tool?

Correct Answer: A
An AI usage policy sets the foundation for safe, ethical, and effective AI deployment. According to the AAIA™ Study Guide, having an AI policy in place ensures that users understand acceptable behaviors, limitations, and responsibilities when interacting with AI tools.
"AI acceptable use policies promote governance by clearly outlining the dos and don'ts of AI interaction, preventing misuse and aligning user activity with organizational values and compliance standards." Other actions (B, C, D) are important in operations and risk management but should follow the establishment of governance protocols through a usage policy. Hence, A is the highest-priority prerequisite.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI Governance and Risk Management," Subsection: "Policy Frameworks for End-User AI Interaction"
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Question 99

The GREATEST benefit of using AI auditing techniques over traditional methods is that AI auditing techniques can:

Correct Answer: B
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Question 100

An organization developed an AI model trained on its monthly data. Which of the following would be the BEST validation method to avoid data drift?

Correct Answer: C
When dealing with monthly or temporal data, standard random splits (Option D) or cross- validation (Option A) can cause "temporal leakage," where the model inadvertently learns from future data to predict the past. According to ISACA AAIATM principles, "Time Series" validation is the most appropriate method for sequential data. It involves training the model on a specific period (e.g., months 1?0) and testing it on the subsequent period (e.g., month 11). This approach accurately reflects how the model will perform in production and is essential for detecting data drift, as it identifies when seasonal trends or long-term shifts in customer behavior cause the model's accuracy to degrade over time.
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