CompTIA DY0-001 Exam Dumps

Get All CompTIA DataAI Certification Exam Questions with Validated Answers

DY0-001 Pack
Vendor: CompTIA
Exam Code: DY0-001
Exam Name: CompTIA DataAI Certification Exam
Exam Questions: 85
Last Updated: August 10, 2026
Related Certifications: CompTIA DataAI
Exam Tags: Expert Data ScientistsMachine Learning Engineers
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Free CompTIA DY0-001 Exam Actual Questions

Question No. 1

A data scientist built several models that perform about the same but vary in the number of features. Which of the following models should the data scientist recommend for production according to Occam's razor?

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Correct Answer: A

According to Occam's razor, when models perform equivalently, you choose the simplest one - in this case, the model that achieves the needed performance with the fewest features.


Question No. 2

Which of the following JOINS would generate the largest amount of data?

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Correct Answer: C

A CROSS JOIN produces the Cartesian product of the two tables (every row from the first paired with every row from the second), yielding far more rows than any of the other join types.


Question No. 3

A data scientist uses a large data set to build multiple linear regression models to predict the likely market value of a real estate property. The selected new model has an RMSE of 995 on the holdout set and an adjusted R2 of .75. The benchmark model has an RMSE of 1,000 on the holdout set. Which of the following is the best business statement regarding the new model?

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Correct Answer: C

Although the new model's RMSE is technically lower (995 vs. 1,000), the fivepoint improvement on holdout data is negligible in most real-estate contexts and unlikely to produce meaningful business value over the existing benchmark.


Question No. 4

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?

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Correct Answer: D

A confidence score of 0.90 is a probabilistic estimate, interpreted as the model assigning a 90% chance of an error on that particular factory instance, which in the long run corresponds to predicting ''error'' in about 90 out of every 100 identical runs.


Question No. 5

Which of the following describes the appropriate use case for PCA?

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Correct Answer: A

Principal Component Analysis transforms correlated features into a smaller set of uncorrelated components that capture most of the variance, making it ideal for reducing dimensionality before modeling or visualization.


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