Snowflake DSA-C02 Exam - Topic 2 Question 38 Discussion

Actual exam question for Snowflake's DSA-C02 exam

Question #: 38
Topic #: 2

[All DSA-C02 Questions]

Which ones are the type of visualization used for Data exploration in Data Science?

AHeat Maps

BNewton AI

CFeature Distribution by Class

D2D-Density Plots

ESand Visualization

Show Suggested Answer

Suggested Answer: D

All Snowpark ML modeling and preprocessing classes are in the snowflake.ml.modeling namespace. The Snowpark ML modules have the same name as the corresponding module from the sklearn namespace. For example, the Snowpark ML module corresponding to sklearn.calibration is snow-flake.ml.modeling.calibration.

The xgboost and lightgbm modules correspond to snowflake.ml.modeling.xgboost and snow-flake.ml.modeling.lightgbm, respectively.

Not all of the classes from scikit-learn are supported in Snowpark ML.

by Sophia at Feb 08, 2025, 06:16 PM

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Kris

3 months ago

Not sure about Newton AI being a visualization tool...

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Beckie

3 months ago

Feature distribution by class is a must for understanding data!

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Margret

3 months ago

Wait, what's sand visualization? Sounds weird.

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Maurine

4 months ago

Totally agree, 2D-density plots are super helpful too.

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Jutta

4 months ago

Heat maps are definitely used for data exploration!

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Marvel

4 months ago

2D-density plots were mentioned in a practice question, but I can't recall if they were specifically for data exploration.

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France

4 months ago

Feature distribution by class sounds familiar, I think we discussed it in relation to understanding data distributions.

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Tamar

4 months ago

I'm not sure about Newton AI; it doesn't seem like a visualization tool to me.

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Antonio

5 months ago

I remember heat maps being really useful for showing correlations, so I think that's definitely one of the options.

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Telma

5 months ago

Wait, what's "Newton AI"? That doesn't sound like a real data visualization technique. I'm going to have to eliminate that one and focus on the more standard options.

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Maybelle

5 months ago

Okay, I've got this. Heat maps, feature distribution by class, and 2D-density plots are all great visualization tools for data exploration. I'm confident I can identify the correct answers here.

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Kimberely

5 months ago

Hmm, I'm a bit unsure about some of these options. I know heat maps and feature distribution plots are common, but I'm not familiar with "Newton AI" or "Sand Visualization." I'll have to think this through.

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Paris

5 months ago

This looks like a straightforward question on data visualization techniques used in data exploration. I'll go through the options carefully and select the ones that are commonly used.

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Barrett

10 months ago

Sand Visualization, huh? I guess that's one way to get a feel for the data... by burying your head in it!

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Josephine

10 months ago

Newton AI? I thought this was a data science exam, not a physics quiz. I'm going with Heat Maps and 2D-Density Plots - those are the clear winners in my book.

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Ellsworth

9 months ago

Feature Distribution by Class is also a useful visualization for data exploration, so that could be another option to consider.

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Tatum

9 months ago

Newton AI is not a type of visualization used in data science, so it's best to stick with Heat Maps and 2D-Density Plots.

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Dortha

9 months ago

I agree, Heat Maps and 2D-Density Plots are great choices for data exploration.

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Tegan

10 months ago

Sand Visualization? Really? I guess if you're exploring data from a desert planet, that could be useful. But for good old Earth data, I'll stick with the standard options.

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Harley

9 months ago

D) 2D-Density Plots

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Marcelle

9 months ago

C) Feature Distribution by Class

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Lorriane

9 months ago

A) Heat Maps

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Maryann

10 months ago

I'm not sure about Newton AI and Sand Visualization. I think those might not be commonly used for Data exploration.

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Shawnda

10 months ago

I agree with Johnna. Those visualizations are commonly used in Data Science for exploring data.

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Shonda

11 months ago

I'm pretty sure Feature Distribution by Class is the correct answer here. It's a classic technique for visualizing the relationships between variables in a dataset.

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Viola

10 months ago

2D-Density Plots are great for visualizing the distribution of data points.

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Cyndy

10 months ago

I think Heat Maps are also commonly used for data exploration.

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Johnna

11 months ago

I think the types of visualization used for Data exploration are Heat Maps, Feature Distribution by Class, and 2D-Density Plots.

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Ashton

11 months ago

Heat Maps and 2D-Density Plots are definitely the way to go for data exploration. The other options sound like they belong in a science fiction movie!

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