Snowflake Exam DSA-C02 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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Barrett

1 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

1 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

12 days 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

13 days 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

24 days ago

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

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Tegan

2 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

5 days ago

D) 2D-Density Plots

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Marcelle

17 days ago

C) Feature Distribution by Class

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Lorriane

22 days ago

A) Heat Maps

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Maryann

2 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

2 months ago

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

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Shonda

2 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

1 months ago

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

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Cyndy

1 months ago

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

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Johnna

2 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

2 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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