Databricks Certified Professional Data Scientist Exam - Topic 6 Question 41 Discussion

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

Question #: 41
Topic #: 6

[All Databricks Certified Professional Data Scientist Questions]

Reducing the data from many features to a small number so that we can properly visualize it in

two or three dimensions. It is done in_______

Asupervised learning

Bun-supervised learning

Ck-Nearest Neighbors

DSupport vector machines
The opposite of supervised learning is a set of tasks known as unsupervised learning. In unsupervised learning, there's no label or target value given for the data. A task where we group similar items together is known as clustering. In unsupervised learning, we may also want to find statistical values that describe the data. This is known as density estimation. Another task of unsupervised learning may be reducing the data from many features to a small number so that we can properly visualize it in two or three dimensions

Show Suggested Answer

Suggested Answer: B

by Keneth at Apr 19, 2023, 06:51 PM

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Cecilia

4 months ago

Unsupervised all the way! No labels, just patterns.

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Goldie

4 months ago

I thought k-NN was for classification, not dimensionality reduction.

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Dylan

4 months ago

Wait, so supervised learning doesn't do this? That's surprising!

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Alita

4 months ago

Yeah, I agree, clustering is a big part of it.

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Chauncey

4 months ago

It's definitely unsupervised learning!

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Nettie

5 months ago

I vaguely recall that supervised learning involves labels, so it can't be that. Unsupervised learning sounds correct for this context.

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Tony

5 months ago

Isn't k-Nearest Neighbors more about classification? I feel like it doesn't fit this question at all.

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Mammie

5 months ago

I remember practicing a question about dimensionality reduction in unsupervised learning. It seems like the right answer.

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Elena

5 months ago

I think this has to do with unsupervised learning, but I'm not completely sure.

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Christa

5 months ago

This seems straightforward. As long as the operations affect services on the live network, the answer must be TRUE. I'll double-check my understanding, but I'm feeling confident about this one.

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Cassi

5 months ago

Hmm, I'm a bit unsure about this one. I'll need to review the material on data integrity and organizational controls to see what might apply here.

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Gilma

5 months ago

Definitely remember learning this in my sports therapy class. Rest, Ice, Compression, Elevation - classic injury management strategy.

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William

5 months ago

This one seems straightforward. I think the answer is A - browsing sites and documents within the Alfresco Process Services UI is not supported.

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Rana

10 months ago

Wait, we're reducing data to two or three dimensions? I thought the goal was to compress it into a single pixel! B - unsupervised learning, here I come!

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Desirae

8 months ago

C) k-Nearest Neighbors

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Malcom

8 months ago

That's right! Unsupervised learning is used for tasks like reducing data to two or three dimensions.

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Joseph

9 months ago

B) un-supervised learning

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Sylvia

10 months ago

Hmm, reducing data to visualize it in 2D or 3D? Sounds like dimensionality reduction to me. I'm going to go with B - unsupervised learning. This is my chance to show off my machine learning chops!

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Beckie

8 months ago

Definitely, it's all about finding patterns and structures in the data.

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Lauryn

8 months ago

I agree, unsupervised learning is the way to go for tasks like this.

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Caitlin

8 months ago

Yes, it helps us visualize complex data in a simpler way.

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Julie

8 months ago

I think dimensionality reduction is a key concept in machine learning.

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Frederica

8 months ago

Definitely, it's all about finding patterns and structures in the data.

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Cherrie

8 months ago

I agree, unsupervised learning is the way to go for tasks like this.

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Deeann

8 months ago

Yes, it helps us visualize complex data in a simpler way.

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Pearlie

9 months ago

I think dimensionality reduction is a key concept in machine learning.

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Mi

11 months ago

Wow, this question is a real brain-teaser! I've been practicing my unsupervised learning skills, so I'm pretty sure the answer is B - unsupervised learning. Let's see if I can nail this one!

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