Databricks Exam Databricks Certified Professional Data Scientist Topic 4 Question 38 Discussion

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

Question #: 38
Topic #: 4

[All Databricks Certified Professional Data Scientist Questions]

Suppose you have been given a relatively high-dimension set of independent variables and you are asked to come up with a model that predicts one of Two possible outcomes like "YES" or "NO", then which of the following technique best fit.

ASupport vector machines

BNaive Bayes

CLogistic regression

DRandom decision forests

EAll of the above
In this problem you have been given high-dimensional independent variables like yeS; nO; no English words , test results etc. and you have to predict either valid or not valid (One of two). So all of the below technique can be applied to this problem.
* Support vector machines
* Naive Bayes
* Logistic regression
* Random decision forests

Show Suggested Answer

Suggested Answer: C

by Scarlet at Feb 25, 2023, 02:49 AM

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Mila

2 months ago

I'm going to go with Logistic Regression, because it's the classiest of the bunch. I mean, who doesn't love a good 'log-it' every now and then?

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Willodean

2 days ago

Support vector machines might be worth considering too.

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Rodolfo

3 days ago

I think Naive Bayes could also work well in this scenario.

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Charolette

10 days ago

Logistic regression is a solid choice for this problem.

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Quinn

2 months ago

Wait, is this a trick question? I thought we were supposed to choose one, but now you're saying all of them work? *scratches head* Well, I guess I'll just go with my gut and say Logistic Regression.

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Jerry

2 months ago

I'm feeling lucky, so I'm gonna go with 'All of the above'. Can't go wrong with that, right? Might as well cover all the bases!

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Jesusita

12 days ago

User 3: Agreed, it's better to consider all the options in this case.

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Josephine

21 days ago

User 2: Yeah, covering all the bases is a good strategy.

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Brittni

1 months ago

User 1: I think 'All of the above' is a safe bet.

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Rory

2 months ago

Hmm, I'm not too sure. I was leaning towards Support Vector Machines, but Naive Bayes and Random Decision Forests could also work. Gotta love all these options!

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Noemi

1 months ago

Random decision forests could be worth considering too.

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Ashlyn

1 months ago

I think Naive Bayes might also be a good choice.

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Janae

2 months ago

Support vector machines could work well for this problem.

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Barrett

2 months ago

I think Logistic Regression is the way to go here. It's designed for binary classification problems like this one, and it can handle high-dimensional data pretty well.

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