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Databricks Exam Databricks Certified Professional Data Scientist 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?

Show Suggested Answer Hide Answer
Suggested Answer: B

Contribute your Thoughts:

Kathrine
2 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
13 days ago
I believe Discriminant Analysis could also work in this scenario.
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Iluminada
15 days ago
C) Discriminant Analysis
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Caprice
26 days ago
I would go with Linear Regression for this one.
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Valda
27 days ago
A) Linear Regression
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Rosamond
29 days ago
I think Logistic Regression would be the best method for this.
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Cecil
1 months ago
B) Logistic Regression
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Asuncion
2 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
1 months ago
B) Logistic Regression
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Annamae
2 months ago
C) Discriminant Analysis
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Donette
2 months ago
B) Logistic Regression
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Shayne
2 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
5 days ago
Who knows, maybe just to throw people off.
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Soledad
6 days ago
I wonder why they included it as an option.
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Mari
7 days ago
Definitely, it doesn't really fit the context at all.
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Lauran
8 days ago
Yeah, Association Rules seems like a strange choice for this exhibit.
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Winfred
16 days ago
D) Association Rules
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Emiko
18 days ago
C) Discriminant Analysis
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Jaime
1 months ago
B) Logistic Regression
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Sage
1 months ago
A) Linear Regression
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Glendora
3 months 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
1 months ago
I agree, the probabilities on the x-axis point towards Logistic Regression.
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Chauncey
1 months ago
I think Logistic Regression is the best choice here.
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Keneth
3 months ago
I'm not sure, but I think Logistic Regression makes sense because it can predict probabilities.
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Jamal
3 months 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
1 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
1 months ago
Discriminant Analysis could be an option, but Logistic Regression is more commonly used for binary classification.
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Ruthann
1 months ago
Linear Regression wouldn't work well here since we're dealing with probabilities and binary outcomes.
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Dahlia
2 months ago
I agree, Logistic Regression is definitely the way to go for this type of problem.
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Fletcher
3 months ago
I agree with Estrella. Logistic Regression is used for binary classification tasks like this.
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Estrella
3 months ago
I think the answer is B) Logistic Regression.
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