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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Shawnda

1 days ago

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

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Shonda

4 days 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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Johnna

4 days 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

5 days 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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