Identify Machine Learning Problem Types SNOWPRO-ADVANCED-DATA-SCIENTIST Practice Questions (Page 3)

Questions 11–14

1. 11expert · hard

   A data scientist is analyzing customer feedback text to identify distinct themes. The dataset has thousands of features (words) and no predefined categories. The goal is to group similar feedback comments together and also reduce the feature space for visualization. Which approach should be used?

   • AUse association rule learning to find word co-occurrence
   • BApply dimensionality reduction first, then clustering
   • CApply clustering first, then dimensionality reduction
   • DUse classification with predefined themes
   Reveal Solution Discussion Select an answer first
2. 12foundation · easy

   A bank wants to automatically approve or decline credit card applications based on applicant data. The model will output one of two labels: 'approved' or 'declined'. Which type of machine learning problem is this?

   • ARegression
   • BAnomaly detection
   • CClustering
   • DClassification
   Reveal Solution Discussion Select an answer first
4. 13expert · hard

   An online streaming service wants to recommend movies to users. They have user ratings and viewing history, but also want to recommend movies that are similar to those a user liked. The team is debating between collaborative filtering and content-based filtering. Which problem type and approach should they use?

   • ARecommendation system using collaborative filtering
   • BAssociation rule learning to find movie co-occurrence
   • CClustering users into groups and recommending popular movies in each group
   • DClassification to predict whether a user will like a movie
   Reveal Solution Discussion Select an answer first
5. 14application · medium

   A retail company wants to predict whether a customer will churn in the next 30 days. They have historical data with customer demographics, purchase history, and support interactions. The business team needs a model that outputs a probability of churn for each customer so they can prioritize retention efforts. Which machine learning problem type should the data scientist frame this as?

   • ABinary classification
   • BTime series forecasting
   • CClustering
   • DRegression
   Reveal Solution Discussion Select an answer first