A financial services company wants to train a linear regression model on a Snowpark DataFrame that contains transaction data. The DataFrame has been created using a `session.table()` call. The team wants to ensure the model training runs in Snowflake's compute environment. What must they do to feed the data into the Snowpark ML model?

Convert the Snowpark DataFrame to a Pandas DataFrame using `.to_pandas()` and pass it to the model.

Register the DataFrame as a temporary table and pass the table name as a string.

Pass the Snowpark DataFrame directly to the `fit` method of a Snowpark ML model.

Use the `.collect()` method to retrieve the data as a list and pass it to the model.

A retail company is using Snowpark ML to train a random forest model for sales forecasting. They want to optimize the `max_depth` and `n_estimators` hyperparameters. They have a Snowpark DataFrame `train_df` with features and a target column `sales`. Which Snowpark ML utility should they use to perform the hyperparameter search?

Use `GridSearchCV` from `sklearn.model_selection`.

Use `GridSearchCV` from `snowflake.ml.modeling.model_selection`.

Use `RandomizedSearchCV` from `sklearn.model_selection`.

Use `tune` from `snowflake.ml.tuning`.

SnowflakeSnowPro Advanced — Data Scientist

Domain 4Objective 1

Train Models Using Snowpark ML SNOWPRO-ADVANCED-DATA-SCIENTIST Practice Questions (Page 1)

Part of the Model Development domain, which makes up ~19% of our current practice bank.

14questions here

3free pages

5concepts

Questions 1–5

1foundation · easy
What type of object is used to pass training data to Snowpark ML models?
Select an answer first
2application · easy
A financial services company wants to train a linear regression model on a Snowpark DataFrame that contains transaction data. The DataFrame has been created using a `session.table()` call. The team wants to ensure the model training runs in Snowflake's compute environment. What must they do to feed the data into the Snowpark ML model?
Select an answer first
3foundation · easy
Which method is used to load a previously saved Snowpark ML model from a stage?
Select an answer first
4application · medium
A retail company is using Snowpark ML to train a random forest model for sales forecasting. They want to optimize the `max_depth` and `n_estimators` hyperparameters. They have a Snowpark DataFrame `train_df` with features and a target column `sales`. Which Snowpark ML utility should they use to perform the hyperparameter search?
Select an answer first
5foundation · easy
Where can a trained Snowpark ML model be saved for persistence?
Select an answer first

Finished these 5 questions?

Review the revealed explanations, or continue through the curriculum.

Next 5 questions →Back to SNOWPRO-ADVANCED-DATA-SCIENTIST

Free Basic Practice is a study aid with revealable answers — not a scored exam. Examers.io is independent and not affiliated with or endorsed by Snowflake. “SNOWPRO-ADVANCED-DATA-SCIENTIST” is a trademark of its owner, used for identification only.

Train Models Using Snowpark ML SNOWPRO-ADVANCED-DATA-SCIENTIST Practice Questions (Page 1)

Questions 1–5

What type of object is used to pass training data to Snowpark ML models?

Which method is used to load a previously saved Snowpark ML model from a stage?

Where can a trained Snowpark ML model be saved for persistence?

Keep studying — Model Development