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AWS Certified AI Practitioner · AWS
Select one answer.
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Explanation: The company has petabytes of unlabeled customer data and wants to classify customers into tiers (i.e., group similar customers together). When you do not have labels (no predefined tiers already assigned) and want the algorithm to discover structure or groupings in the data, you use unsupervised learning. A common unsupervised technique for this use case is clustering (e.g., k-means) to segment customers into meaningful groups for targeted advertising
B is the correct answer.
B is the correct answer.