Dell EMC Exam D-ISM-FN-23 Topic 4 Question 25 Discussion

Actual exam question for Dell EMC's D-ISM-FN-23 exam

Question #: 25
Topic #: 4

What kind of ML explicitly requires splitting the data into training and testing datasets before running an algorithm against that data?

ADeep Learning

BUnsupervised Learning

CReinforcement Learning

DSupervised Learning

Show Suggested Answer

Suggested Answer: B

by Detra at Feb 07, 2025, 10:39 AM

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Venita

7 hours ago

D) Supervised Learning, the only way to go. Splitting the data is like cutting the cake - you gotta have a piece for testing, and a piece for training.

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Dahlia

5 days ago

D) Supervised Learning, of course! Splitting the data is like separating the wheat from the chaff. Can't do Supervised Learning without it.

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Gene

7 days ago

Ah, I was stuck between B) Unsupervised Learning and D) Supervised Learning. Splitting the data is crucial for Supervised Learning, makes sense now.

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Alisha

7 days ago

I'm not sure, but I think it's D) Supervised Learning too.

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Mireya

9 days ago

D) Supervised Learning is the correct answer. You need to split the data into training and testing sets to properly evaluate the model's performance.

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Virgilio

12 days ago

I agree with Refugia, because supervised learning requires labeled data for training and testing.

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Refugia

16 days ago

I think the answer is D) Supervised Learning.

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