Unsupervised Learning CT-AI Practice Questions (Page 5)

Questions 21–25

1. 21application · medium

   An e-commerce platform wants to recommend additional products to customers based on items they have already added to their cart. They have historical transaction data showing which items are purchased together. Which technique should they use to generate these recommendations?

   • APCA
   • BAnomaly detection
   • Ck-means clustering
   • DAssociation rule learning
   Reveal Solution Discussion Select an answer first
2. 22expert · hard · select all that apply

   A data scientist is working with an unlabeled dataset and needs to perform several tasks. Which of the following tasks can be accomplished using unsupervised learning? (Select all that apply.)

   • ADiscovering items that frequently co-occur in transactions
   • BReducing the number of features while preserving variance
   • CGrouping similar data points into clusters
   • DPredicting a continuous numeric value from labeled examples
   • EIdentifying unusual data points that deviate from the norm
   Check answers Discussion Select an answer first
4. 23foundation · easy

   Which of the following is a well-known dimensionality reduction technique?

   • AApriori algorithm
   • BPrincipal Component Analysis (PCA)
   • CRandom forest
   • DK-nearest neighbors (KNN)
   Reveal Solution Discussion Select an answer first
5. 24application · medium

   A data analyst has a dataset with hundreds of features and wants to visualize the data in two dimensions to explore potential groupings. The primary goal is to see clusters of similar data points, not to preserve the exact global structure. Which technique is most appropriate?

   • AApriori algorithm
   • Bk-means clustering
   • CPCA
   • Dt-SNE
   Reveal Solution Discussion Select an answer first
6. 25application · medium

   A supermarket wants to understand which products are frequently purchased together to optimize store layout. They have transactional data showing items in each customer's basket. Which technique should they use?

   • APrincipal Component Analysis (PCA)
   • BAnomaly detection
   • CAssociation rule learning, such as the Apriori algorithm
   • DHierarchical clustering
   Reveal Solution Discussion Select an answer first