AWS Exam Simulation Question

A company wants to use a Large Language Model (LLM) to improve business productivity. The company is unsure of the tradeoffs between the various approaches to LLM customization.

Match each LLM customization approach with the correct level of operational overhead. Each approach should be matched once.

Approaches:

• A: Train a fine-tuned model
• B: Perform prompt engineering on LLM
• C: Select and use a Specific LLM
• D: Pre-train a new LLM

Operational Overheads:

1. Least effort Select an approach A: Train a fine-tuned model B: Perform prompt engineering on LLM C: Select and use a Specific LLM D: Pre-train a new LLM
2. Medium effort Select an approach A: Train a fine-tuned model B: Perform prompt engineering on LLM C: Select and use a Specific LLM D: Pre-train a new LLM
3. High effort Select an approach A: Train a fine-tuned model B: Perform prompt engineering on LLM C: Select and use a Specific LLM D: Pre-train a new LLM
4. Most effort Select an approach A: Train a fine-tuned model B: Perform prompt engineering on LLM C: Select and use a Specific LLM D: Pre-train a new LLM

Submit