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GCP Cloud Digital Leader Practice Question

A retailer has 10 million customer transactions and wants to uncover natural groupings of shoppers so it can design separate marketing campaigns for each group. No labels that describe the desired segments exist in the data. Which general machine-learning task is the best fit for this goal?

  • Regression to estimate each customer's lifetime value

  • Binary classification to predict whether a customer will respond to an offer

  • Clustering on the unlabeled dataset

  • Running an extract-transform-load (ETL) job to restructure the data

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