Q34 — AWS AIF-C01 Ch.2

Question 34 of 100 | ← Chapter 2

A company wants to use a domain-specific model. It wishes to avoid building a model from scratch. Instead, it wants to fine-tune a pre-trained model to create a model tailored to its specific tasks.

• A. Increase the number of iterations.
• B. Use transfer learning. ✓
• C. Decrease the number of iterations.
• D. Use unsupervised learning.

Correct Answer: B. Use transfer learning.

Explanation

Transfer learning is a machine learning strategy that enables knowledge acquired from one task to be transferred to another related task. In this scenario, the company aims to adapt a pre-trained model to a new, related task rather than building a new model from scratch. Transfer learning satisfies this requirement by allowing reuse of an existing pre-trained model, fine-tuning it for the new task—thereby saving time and resources.