Train Models Using Snowpark ML SNOWPRO-ADVANCED-DATA-SCIENTIST Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   Which Snowpark ML utility is used for hyperparameter tuning?

   • Across_val_score
   • BPipeline
   • CStandardScaler
   • DGridSearchCV
   Reveal Solution Discussion Select an answer first
2. 7foundation · easy

   Which Snowpark ML method is used to fit a model to the training data?

   • Aevaluate()
   • Bfit()
   • Ctransform()
   • Dpredict()
   Reveal Solution Discussion Select an answer first
4. 8foundation · easy

   How does Snowpark ML avoid moving data out of Snowflake during model training?

   • AIt caches the data in the client's memory.
   • BIt converts data to CSV files stored in the stage.
   • CIt requires a dedicated external compute environment.
   • DIt uses Snowflake's virtual warehouses to execute the training computation.
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   What is the purpose of hyperparameter tuning in Snowpark ML?

   • ATo find the best combination of model parameters to improve performance.
   • BTo convert the model to a SQL function.
   • CTo reduce the number of features in the dataset.
   • DTo increase the size of the training dataset.
   Reveal Solution Discussion Select an answer first
6. 10foundation · easy

   Which Snowpark ML module provides classes for training machine learning models directly on data stored in Snowflake?

   • Asnowflake.ml.modeling
   • Bsnowflake.ml.preprocessing
   • Csnowflake.ml.registry
   • Dsnowflake.ml.feature_store
   Reveal Solution Discussion Select an answer first