Free Isaca AAIA Actual Exam Questions - Question 5 Discussion

C/B? The main idea is the AI’s output changes because it’s probabilistic (C), but B could also fit if you think of varying internal activations causing output shifts. D and A seem less relevant here.

C, because the AI's probabilistic nature means outputs can vary each time.

Probably D doesn’t really explain why outputs differ from the same data input; server reconfiguration seems unrelated to AI output variability. Option A talks about risk profiles, but that’s more about input quality or model design, not output randomness. I think C nails it because generative AI models use probabilities to make predictions, so even the same input can lead to different recommendations each time. That’s the core reason for variability here.

Maybe B, since the AI's internal processes might change with each run causing different results.

Option C makes the most sense here - since generative AI often produces different outputs because it relies on probabilistic models rather than deterministic ones. So even with the same data, results can vary. The others seem less directly related to why recommendations would change each time.