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Databricks Certified Professional Data Scientist Exam - Topic 2 Question 11 Discussion

Actual exam question for Databricks's Databricks Certified Professional Data Scientist exam
Question #: 11
Topic #: 2
[All Databricks Certified Professional Data Scientist Questions]

What describes a true limitation of Logistic Regression method?

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Suggested Answer: B

by Johnetta at May 09, 2022, 03:04 AM

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Terrilyn
4 months ago
Redundant variables can definitely confuse the model.
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Lai
4 months ago
Wait, it doesn't have explanatory values? That's surprising!
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Novella
4 months ago
I thought it could handle correlated variables just fine?
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Aretha
4 months ago
Totally agree, missing values can mess things up!
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William
5 months ago
Logistic regression struggles with missing values.
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Mireya
5 months ago
I’m confused about the explanatory values part in option D. I thought logistic regression was used for prediction, but does it really lack explanatory values?
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Lachelle
5 months ago
I practiced a question similar to this, and I think it mentioned that logistic regression doesn't deal well with redundant variables. So maybe A is correct?
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Rory
5 months ago
I'm not entirely sure, but I feel like missing values are a common issue in many models, including logistic regression. Could it be option B?
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Marvel
5 months ago
I remember reading that logistic regression struggles with multicollinearity, so I think option C might be the right choice.
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Eve
5 months ago
The /etc/hosts file provides a way to map hostnames to IP addresses on the local system, so I think option A is the correct answer.
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Arlyne
5 months ago
My gut says it has to do with the degree of the relation being fixed and cardinality changing, so maybe D? I found that tricky in our revision.
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Mary
5 months ago
Hmm, I'm not entirely sure about this one. The question is asking for a valid approach, but there are a few options presented. I'll need to carefully consider each one.
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Vinnie
5 months ago
I think I've got it! The underlined text doesn't actually mention the FROM keyword. It's talking about using the ORDER BY clause in a SELECT statement. So the correct answer would be option B, "ORDER BY."
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