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SISA CSPAI Exam - Topic 6 Question 18 Discussion

Actual exam question for SISA's CSPAI exam

Question #: 18
Topic #: 6

[All CSPAI Questions]

How does machine learning improve the accuracy of predictive models in finance?

ABy using historical data patterns to make predictions without updates

BBy relying exclusively on manual adjustments and human input for predictions.

CBy continuously learning from new data patterns to refine predictions

DBy avoiding any use of past data and focusing solely on current trends

Show Suggested Answer

Suggested Answer: C

by Mitsue at Jul 01, 2026, 07:30 PM

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Andra

2 hours ago

I’m a bit confused about option D; it seems counterintuitive to ignore past data when predicting future trends.

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Fidelia

5 days ago

I feel like option C makes the most sense since it mentions refining predictions, which is a key aspect of machine learning.

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Marylyn

10 days ago

I remember a practice question that emphasized the importance of historical data patterns, but I don't think it was about making predictions without updates.

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Cristal

16 days ago

I think machine learning improves accuracy by continuously learning from new data, but I'm not entirely sure if that's the main point.

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