Q7 — AWS AIF-C01 Ch.3

Question 7 of 100 | ← Chapter 3

A company needs to train a foundation model (FM) on its business data. The dataset size is 1 GB. Training and evaluation must complete within three weeks. Which solution meets these requirements?

• A. Retrieval-augmented generation (RAG)
• B. Domain-adaptive fine-tuning ✓
• C. Instruction-based fine-tuning
• D. Prompt engineering

Correct Answer: B. Domain-adaptive fine-tuning

Explanation

A 1 GB dataset is suitable for fine-tuning rather than prompt engineering or RAG, which typically handle smaller-scale or zero-shot scenarios. Domain-adaptive fine-tuning directly adapts a pre-trained foundation model to business-specific language and concepts using the full dataset, requires no instruction formatting, and can be completed within three weeks on appropriate hardware—making it the optimal choice.