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Databricks Certified Professional Data Scientist Exam - Topic 4 Question 62 Discussion

Actual exam question for Databricks's Databricks Certified Professional Data Scientist exam
Question #: 62
Topic #: 4
[All Databricks Certified Professional Data Scientist Questions]

In which of the scenario you can use the linear regression model?

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Suggested Answer: B

by Alonzo at Jun 22, 2024, 02:14 AM

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Francene
3 months ago
Wait, can we really use linear regression for all these scenarios?
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Wendell
3 months ago
D makes sense, but can it really predict sales accurately?
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Latia
3 months ago
C seems a bit off for linear regression, right?
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Renea
4 months ago
I think B could work too, but it's not as straightforward.
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Willie
4 months ago
A is a classic example for linear regression!
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Dorethea
4 months ago
Tumor size reduction based on radiation treatments sounds tricky. I wonder if that's more complex than just linear regression?
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Merissa
4 months ago
I practiced a question similar to predicting sales based on student numbers. It feels like a good fit for linear regression too.
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Kattie
4 months ago
I'm a bit unsure about the weather and demand scenario. I remember something about correlation but not sure if it's linear regression.
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Jesusita
5 months ago
I think linear regression is definitely applicable for predicting home prices based on location and area. It seems straightforward.
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Belen
5 months ago
I've got this! Home price and textbook sales are both continuous variables that can be predicted using linear regression. The other two scenarios involve more complex relationships that may require different modeling techniques.
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Theodora
5 months ago
Okay, let me think this through step-by-step. Home price, demand based on weather, tumor size reduction, and textbook sales - I need to consider whether the target variable in each case is continuous and can be predicted using the given input variables.
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Zena
5 months ago
Hmm, I'm not entirely sure about this one. I know linear regression is used for predicting a continuous target variable, but I'll need to think through the specific details of each scenario to determine which ones fit that criteria.
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Deeann
5 months ago
This looks like a straightforward linear regression question. I'm confident I can apply the concepts we learned in class to determine which scenarios are appropriate for linear regression.
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Barney
5 months ago
This looks like a pretty straightforward question on database privileges. I'll start by carefully reading through each option and thinking about what I know about privileges.
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Ressie
5 months ago
Wait, is this testing if I know ALL the specific elements an HMO needs for quality assurance? I'll carefully read each option and make sure they're truly comprehensive.
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Mireya
5 months ago
Easy peasy! Option B is clearly the right choice here. Creating a separate project for the operations team's registry and granting the development teams' Cloud Build service accounts access is the cleanest and most secure approach.
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Ailene
5 months ago
I wonder if the ability to allow simplified testing prior to cutover is another advantage. Testing seems crucial, but I'm not completely sure.
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Shala
9 months ago
A and D both seem reasonable, but I'm leaning towards A. Predicting home prices based on location and area seems like a more straightforward linear regression problem.
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Ruby
8 months ago
Yeah, both A and D could work, but A does seem like a more straightforward application of linear regression.
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Evangelina
9 months ago
I think predicting sales of textbooks based on the number of students in the state could also work with linear regression.
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Judy
9 months ago
I agree, predicting home prices based on location and area is a classic example of linear regression.
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Shantay
10 months ago
Haha, good one! Predicting sales of textbooks based on the number of students? That's like trying to predict the weather based on the number of umbrellas sold.
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Jacki
10 months ago
Haha, good one! Predicting sales of textbooks based on the number of students? That's like trying to predict the weather based on the number of umbrellas sold.
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Bong
10 months ago
C) Predicting tumor size reduction based on input as number of radiation treatment
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Brett
10 months ago
B) Predicting demand of the goods and services based on the weather
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Lynna
10 months ago
A) Predicting Home Price based on the location and house area
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Hannah
10 months ago
Hmm, I'm not sure. All of these scenarios seem like they could use linear regression. I'll have to think about this one a bit more.
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Arletta
10 months ago
B) Predicting demand of the goods and services based on the weather
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Casey
10 months ago
A) Predicting Home Price based on the location and house area
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Vincent
10 months ago
I think the correct answer is C. Predicting tumor size reduction based on the number of radiation treatments is a classic example of linear regression.
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Delpha
11 months ago
I also think scenario A is the best fit for linear regression because it involves continuous variables.
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Devon
11 months ago
I agree with Mari, predicting home price based on location and house area makes sense for linear regression.
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Mari
11 months ago
I think linear regression can be used in scenario A.
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