Databricks Certified Professional Data Scientist Exam - Topic 1 Question 94 Discussion

Actual exam question for Databricks's Databricks Certified Professional Data Scientist exam

Question #: 94
Topic #: 1

[All Databricks Certified Professional Data Scientist Questions]

Select the correct statement regarding the naive Bayes classification

Ait only requires a small amount of training data to estimate the parameters

BIndependent variables can be assumed

Conly the variances of the variables for each class need to be determined

Dfor each class entire covariance matrix need to be determined
An advantage of naive Bayes is that it only requires a small amount of training data to estimate the parameters (means and variances of the variables) necessary for classification. Because independent variables are assumed, only the variances of the variables for each class need to be determined and not the entire covariance matrix.

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Suggested Answer: A, B, C

by Sharen at Mar 03, 2026, 08:21 PM

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27 days ago

I remember that naive Bayes is often praised for needing less training data, so I think A might be correct.

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