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MLS-C01 · Question #336

MLS-C01 Question #336: Real Exam Question with Answer & Explanation

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Modeling

Question

An online retailer collects the following data on customer orders: demographics, behaviors, location, shipment progress, and delivery time. A data scientist joins all the collected datasets. The result is a single dataset that includes 980 variables. The data scientist must develop a machine learning (ML) model to identify groups of customers who are likely to respond to a marketing campaign. Which combination of algorithms should the data scientist use to meet this requirement? (Choose two.)

Options

  • ALatent Dirichlet Allocation (LDA)
  • BK-means
  • CSemantic segmentation
  • DPrincipal component analysis (PCA)
  • EFactorization machines (FM)

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Topics

#Dimensionality Reduction#Clustering#Unsupervised Learning#Customer Segmentation
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