Exam DY0-001 topic 1 question 69 discussion

Actual exam question from CompTIA's DY0-001

Question #: 69
Topic #: 1

A data scientist has built a model that provides the likelihood of an error occurring in a factory. The historical accuracy of the model is 90%. At a specific factory, the model is reporting a likelihood score of 0.90. Which of the following explains a confidence score of 0.90?

A. Running this model for all known factory issues, it is expected the model will identify 90 out of 100 known factory issues.
B. Running this model on 100 samples of factories, a certain model performance is expected for 90 out of the 100 samples.
C. Running this model 100 times on a factory, it is expected the model will predict 90 out of 100 factory errors.
D. Running this model 100 times within a factory, it is expected the model will predict error 90 out of 100 times the model is ran.

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Suggested Answer: D 🗳️

by SuntzuLegacy at May 19, 2025, 11:48 p.m.

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SuntzuLegacy

1 month, 1 week ago

Selected Answer: D

A likelihood (or confidence) score of 0.90 for a single prediction means that if we were to repeat that exact scenario many times, the model would predict an error in about 90% of those runs. Among the given choices, D captures that best: D. Running this model 100 times within a factory, it is expected the model will predict error 90 out of 100 times the model is ran. This is essentially how you interpret a model‐given probability of 0.90 for an event.

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