Define Machine Learning Concepts for Data Science Workloads SNOWPRO-ADVANCED-DATA-SCIENTIST Practice Questions (Page 5)

Questions 21–24

1. 21foundation · easy

   A model performs very well on training data but poorly on unseen test data. Which problem is the model exhibiting?

   • AVariance
   • BBias
   • COverfitting
   • DUnderfitting
   Reveal Solution Discussion Select an answer first
2. 22application · medium

   A linear regression model has high bias and low variance. Which of the following is the most appropriate way to reduce the bias?

   • AUse a smaller training set.
   • BIncrease model complexity, such as adding polynomial features.
   • CReduce the number of features.
   • DApply stronger regularization, such as increasing the L2 penalty.
   Reveal Solution Discussion Select an answer first
4. 23foundation · easy

   A model with high bias is likely to be which of the following?

   • AOverly complex and sensitive to small changes in training data
   • BPerfectly generalizing to new data
   • CToo simple to capture the underlying patterns in the data
   • DUnrelated to model complexity
   Reveal Solution Discussion Select an answer first
5. 24foundation · easy

   Which feature engineering technique is used to convert a categorical variable like 'color' (red, green, blue) into a numerical format suitable for machine learning algorithms?

   • AFeature selection
   • BOne-hot encoding
   • CMin-max scaling
   • DPrincipal component analysis (PCA)
   Reveal Solution Discussion Select an answer first