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Databricks Certified Professional Data Scientist Exam - Topic 5 Question 74 Discussion

Actual exam question for Databricks's Databricks Certified Professional Data Scientist exam
Question #: 74
Topic #: 5
[All Databricks Certified Professional Data Scientist Questions]

Select the statement which applies correctly to the Naive Bayes

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Suggested Answer: A

by Starr at Oct 22, 2024, 10:18 PM

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Jani
3 months ago
Yeah, nominal values are its strong suit for sure!
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Ming
4 months ago
Definitely sensitive to input data, I've seen it fail otherwise.
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Rodolfo
4 months ago
Wait, it works well with small data? That's surprising!
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Michal
4 months ago
I agree, but it really does depend on data prep.
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Juan
4 months ago
Naive Bayes is great with nominal values!
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Lera
5 months ago
I feel like option C is correct since Naive Bayes is often used with nominal values, but I could be mixing it up with another algorithm.
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Carole
5 months ago
I practiced a question similar to this, and I think it was about how Naive Bayes works best with categorical data.
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Erasmo
5 months ago
I remember something about input data preparation being crucial for Naive Bayes, but I can't recall the specifics.
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Gerald
5 months ago
I think Naive Bayes can handle small datasets, but I'm not sure if that's its main strength.
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Gerald
5 months ago
Based on my understanding, Naive Bayes can handle nominal (categorical) values, so I think option C is the right answer. I'll mark that one and move on to the next question.
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Sharita
5 months ago
I'm a bit confused by this question. I know Naive Bayes is sensitive to how the data is prepared, but I'm not sure if that's the best answer here. Let me re-read the question and options carefully.
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Virgilio
5 months ago
Okay, I remember learning that Naive Bayes can work with small datasets, so I'm pretty sure option A is correct. But I'm not 100% confident, so I'll double-check the other options just to be sure.
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Ben
5 months ago
Hmm, this seems like a straightforward question about the Naive Bayes algorithm. I'll need to think carefully about the key characteristics of Naive Bayes to determine the correct answer.
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Sherell
10 months ago
Wow, these Naive Bayes questions really separate the data nerds from the rest of us. I'm just hoping to survive this exam!
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Harris
9 months ago
C) Works with nominal values
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Isadora
9 months ago
B) Sensitive to how the input data is prepared
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Judy
9 months ago
A) Works with a small amount of data
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Lashon
9 months ago
C) Works with nominal values
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Nan
9 months ago
B) Sensitive to how the input data is prepared
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Bette
10 months ago
A) Works with a small amount of data
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Martina
10 months ago
A) Works with a small amount of data. Hmm, I'm not sure about that one. I thought Naive Bayes needed a decent amount of data to work well.
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Cammy
11 months ago
C) Works with nominal values. Yep, that's one of the key characteristics of the Naive Bayes algorithm.
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Gayla
9 months ago
C) Works with nominal values. Yep, that's one of the key characteristics of the Naive Bayes algorithm.
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Eric
10 months ago
C) Works with nominal values
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Devorah
10 months ago
B) Sensitive to how the input data is prepared
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Dean
10 months ago
A) Works with a small amount of data
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Xochitl
11 months ago
B) Sensitive to how the input data is prepared. That's definitely true for Naive Bayes, it really relies on the data preprocessing.
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Queen
10 months ago
C) Works with nominal values
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Dawne
10 months ago
A) Works with a small amount of data
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Huey
11 months ago
Hmm, that's a good point. I see where you're coming from now.
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Rosalia
11 months ago
I disagree, I believe the answer is C because Naive Bayes works with nominal values.
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Huey
11 months ago
I think the answer is A because Naive Bayes works well with small data sets.
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