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Databricks Certified Professional Data Scientist Exam - Topic 5 Question 70 Discussion

Actual exam question for Databricks's Databricks Certified Professional Data Scientist exam
Question #: 70
Topic #: 5
[All Databricks Certified Professional Data Scientist Questions]

Refer to Exhibit

In the exhibit, the x-axis represents the derived probability of a borrower defaulting on a loan. Also in the exhibit, the pink represents borrowers that are known to have not defaulted on their loan, and the blue represents borrowers that are known to have defaulted on their loan. Which analytical method could produce the probabilities needed to build this exhibit?

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Suggested Answer: B

by Amina at Sep 13, 2024, 12:55 PM

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Belen
4 months ago
Surprised that Logistic Regression is the answer, seems too simple!
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Dorothea
5 months ago
Wait, are we sure it’s not Association Rules?
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Hannah
5 months ago
No way, it's gotta be Linear Regression.
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Beatriz
5 months ago
I think Discriminant Analysis could work too.
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Laticia
5 months ago
Definitely Logistic Regression for this!
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Lyda
6 months ago
Association rules don't seem to fit this context, but I can't recall the exact differences between linear and logistic regression right now.
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Britt
6 months ago
I practiced a similar question where logistic regression was the answer for predicting probabilities. I feel confident it's the same here.
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Stephane
6 months ago
I'm not entirely sure, but I think discriminant analysis might also be relevant since it deals with classifying observations.
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Andree
6 months ago
I remember we discussed how logistic regression is often used for binary outcomes like loan defaults. It seems like the right choice here.
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Fletcher
6 months ago
Logistic regression seems like the way to go here. The exhibit is showing the probability of default, which is exactly what logistic regression is designed to model.
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Rebbecca
6 months ago
Linear regression could work, but since the target variable is binary (default or not), logistic regression would probably be more appropriate.
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Leonardo
6 months ago
Hmm, the exhibit shows a probability distribution, so I'm thinking discriminant analysis might be a good fit here to classify the borrowers.
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Francoise
6 months ago
This looks like a classic binary classification problem. I'd approach it using logistic regression to model the probability of default.
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Iluminada
6 months ago
Association rules? I'm not sure that would be the best approach for this type of problem. I'd lean more towards a supervised learning method like logistic regression.
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Wade
6 months ago
This seems like a straightforward question about common medical symptoms. I'll start by thinking through the options and seeing which one best fits the description of chronic soreness and fatigue.
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Kathrine
11 months ago
I'm just glad they didn't include 'Tarot Cards' as an option. That would have really thrown me for a loop!
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Venita
10 months ago
I believe Discriminant Analysis could also work in this scenario.
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Iluminada
10 months ago
C) Discriminant Analysis
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Caprice
10 months ago
I would go with Linear Regression for this one.
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Valda
10 months ago
A) Linear Regression
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Rosamond
10 months ago
I think Logistic Regression would be the best method for this.
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Cecil
10 months ago
B) Logistic Regression
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Asuncion
11 months ago
Linear Regression? Really? The data is clearly binary, not continuous. Looks like someone in the question writing team needs a refresher on machine learning methods. *shakes head*
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Celestine
11 months ago
B) Logistic Regression
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Annamae
11 months ago
C) Discriminant Analysis
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Donette
11 months ago
B) Logistic Regression
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Shayne
12 months ago
Hold up, did they really think Association Rules would be a valid answer? That's like trying to solve a calculus problem with a hammer. Gotta love these exam questions, they really keep you on your toes!
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Glory
10 months ago
Who knows, maybe just to throw people off.
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Soledad
10 months ago
I wonder why they included it as an option.
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Mari
10 months ago
Definitely, it doesn't really fit the context at all.
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Lauran
10 months ago
Yeah, Association Rules seems like a strange choice for this exhibit.
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Winfred
10 months ago
D) Association Rules
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Emiko
10 months ago
C) Discriminant Analysis
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Jaime
11 months ago
B) Logistic Regression
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Sage
11 months ago
A) Linear Regression
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Glendora
1 year ago
I'm not sure about this one. Discriminant Analysis could also work, but the probabilities on the x-axis make me think Logistic Regression is the way to go. Either way, this is a tough question!
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Willard
11 months ago
I agree, the probabilities on the x-axis point towards Logistic Regression.
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Chauncey
11 months ago
I think Logistic Regression is the best choice here.
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Keneth
1 year ago
I'm not sure, but I think Logistic Regression makes sense because it can predict probabilities.
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Jamal
1 year ago
Logistic Regression seems like the obvious choice here. The x-axis shows probabilities, and the colors represent the two classes - defaulted and not defaulted. Logistic Regression is perfect for this kind of binary classification problem.
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Kenny
10 months ago
Association Rules wouldn't be suitable for this scenario since it's more for finding relationships between variables, not predicting probabilities.
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Mendy
11 months ago
Discriminant Analysis could be an option, but Logistic Regression is more commonly used for binary classification.
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Ruthann
11 months ago
Linear Regression wouldn't work well here since we're dealing with probabilities and binary outcomes.
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Dahlia
11 months ago
I agree, Logistic Regression is definitely the way to go for this type of problem.
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Fletcher
1 year ago
I agree with Estrella. Logistic Regression is used for binary classification tasks like this.
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Estrella
1 year ago
I think the answer is B) Logistic Regression.
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