Q6 — AWS AIF-C01 Ch.1

Question 6 of 100 | ← Chapter 1

A company has petabytes of unlabeled customer data available for advertising campaigns. The company wants to segment customers into different tiers to target and promote its products. Which method should the company use to meet these requirements?

• A. Supervised learning
• B. Unsupervised learning ✓
• C. Reinforcement learning
• D. Reinforcement Learning from Human Feedback (RLHF)

Correct Answer: B. Unsupervised learning

Explanation

This question tests understanding of machine learning methodology applications. When dealing with large volumes of unlabeled data for segmentation, unsupervised learning is most appropriate. Supervised learning requires labeled data; reinforcement learning optimizes decision-making policies; RLHF incorporates human feedback and is not suited for customer segmentation. Since the company has petabytes of unlabeled customer data, unsupervised learning is the correct choice.