Define Machine Learning Concepts for Data Science Workloads SNOWPRO-ADVANCED-DATA-SCIENTIST Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   In the bias-variance tradeoff, what happens to bias and variance as model complexity increases?

   • ABias increases and variance decreases
   • BBoth bias and variance increase
   • CBias decreases and variance increases
   • DBoth bias and variance decrease
   Reveal Solution Discussion Select an answer first
2. 2application · medium

   A data science team is building a model to predict whether a customer will churn in the next 30 days. They have historical data with a binary 'churned' label for each customer. Which machine learning approach should they use?

   • ASupervised regression
   • BReinforcement learning
   • CSupervised classification
   • DUnsupervised clustering
   Reveal Solution Discussion Select an answer first
4. 3application · medium

   A data scientist is tuning a model and observes that as model complexity increases, training error decreases but validation error increases. This is an example of which concept?

   • ABias-variance tradeoff
   • BFeature selection
   • CData leakage
   • DUnderfitting
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5. 4expert · hard

   A data scientist is training a gradient boosting model. The training error is very low, but the validation error is high. They have already tried reducing the learning rate and increasing regularization. What is the most likely remaining cause and the best next step?

   • AThe model is underfitting; increase the number of trees.
   • BThe features are not scaled; apply feature scaling.
   • CThe model is overfitting; reduce the number of trees or use early stopping.
   • DThe validation set is not representative; use a larger validation set.
   Reveal Solution Discussion Select an answer first
6. 5expert · hard

   A team needs to build a model to classify images of defective vs. non-defective products. They have a large dataset of labeled images. Which algorithm is most appropriate?

   • ALinear regression
   • BConvolutional neural network (CNN)
   • CA simple decision tree on raw pixel values
   • DK-means clustering
   Reveal Solution Discussion Select an answer first