Databricks Certified Professional Data Scientist Exam - Topic 3 Question 59 Discussion

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

Question #: 59
Topic #: 3

[All Databricks Certified Professional Data Scientist Questions]

Select the correct statement which applies to logistic regression

AComputationally inexpensive, easy to implement knowledge representation easy to interpret

BMay have low accuracy

CWorks with Numeric values

DOnly 1 and 3 are correct

EAll 1, 2 and 3 are correct
Depending on the size of the data you are uploading, Amazon S3 offers the following options:
Logistic regression
Pros: Computationally inexpensive, easy to implement knowledge representation easy to interpret Cons: Prone to underfitting, may have low accuracy Works with: Numeric values^ nominal values

Show Suggested Answer

Suggested Answer: B

by Dell at May 12, 2024, 07:18 PM

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Bernardine

3 months ago

Yeah, I've seen it underfit on larger datasets.

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Adrianna

3 months ago

I think only 1 and 3 are correct, not all of them.

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Kenneth

3 months ago

Wait, it works with nominal values too? That's surprising!

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Dorothy

4 months ago

I agree, but it can definitely have low accuracy sometimes.

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Rikki

4 months ago

Logistic regression is indeed computationally inexpensive!

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Lavera

4 months ago

I’m leaning towards option E because it seems to cover all the pros and cons, but I’m a bit confused about the accuracy part.

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Alonzo

4 months ago

I feel like I read that logistic regression works best with numeric values, but does it really handle nominal values too?

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Giuseppe

4 months ago

I think I saw a practice question that mentioned logistic regression can sometimes have low accuracy, especially with complex datasets.

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Sean

5 months ago

I remember logistic regression is often praised for being computationally inexpensive, but I'm not sure if it really is easy to interpret in all cases.

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Rebecka

5 months ago

Ah, the last option has a lot of detail. I'll make sure to read that one closely and see if it covers all the important points about logistic regression.

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Adelina

5 months ago

Okay, the question is asking me to select the correct statement. I'll carefully read through each option and think about which one best captures the key characteristics of logistic regression.

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Gregg

5 months ago

Hmm, I'm a bit unsure about the accuracy part. I'll need to review the pros and cons of logistic regression to make sure I understand when it may have low accuracy.

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Kenia

5 months ago

This looks like a straightforward question on the properties of logistic regression. I'll focus on the key points like computational efficiency, interpretability, and the types of data it can handle.

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Micaela

5 months ago

The question mentions "computationally inexpensive" and "easy to interpret" - those sound like good advantages to focus on. I'll make sure I'm clear on those strengths when answering.

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Kenny

5 months ago

This seems like a straightforward question about the minimum number of virtual networks required for an SAP deployment. I'll need to think through the disaster recovery requirements to determine the right answer.

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Loren

5 months ago

I'm a bit confused on the difference between the Title Menu and Navigation Menu components. Are they both relevant here?

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Kimbery

10 months ago

Alright, time to put on my logistic regression hat and make a decision. Option E is the logical choice here. Gotta love how these questions try to trip us up, eh?

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Misty

8 months ago

User 3: These questions always try to test our knowledge, but we got this one!

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Artie

8 months ago

User 2: Yeah, it covers all the correct statements about logistic regression.

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Mollie

8 months ago

User 1: I agree, option E seems like the best choice for logistic regression.

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Johna

10 months ago

Logistic regression, the comedy act of the machine learning world. 'May have low accuracy?' That's like saying a clown 'may have a big red nose.' Option E is the one, my friend.

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Felicitas

8 months ago

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Niesha

9 months ago

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Leontine

10 months ago

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Nobuko

10 months ago

I'm feeling a bit like a logistic regression model myself - trying to decide between all these options! But seriously, option E is the clear winner. All 1, 2, and 3 are correct. Easy peasy.

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Henriette

11 months ago

Whoa, hold up! Logistic regression works with numeric values, not just nominal values. That's a common misconception. I think option E is the way to go here.

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Shalon

9 months ago

Let's go with option E for logistic regression.

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Mable

9 months ago

Option E seems to be the correct choice then, since it includes all the correct statements.

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Quentin

10 months ago

Yeah, that's right. It's a common misconception that it only works with nominal values.

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Lenny

10 months ago

I agree, logistic regression does work with numeric values.

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Arlen

11 months ago

Hmm, let's see. Logistic regression is definitely computationally inexpensive and easy to interpret, but 'low accuracy' seems a bit of a stretch. I'm going to go with option D - 1 and 3 are correct.

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