Q73 — AWS AIF-C01 Ch.1

Question 73 of 100 | ← Chapter 1

A company wants to build a chatbot to assist customers. The chatbot will help resolve technical issues and requires no human intervention. The company selected a foundation model (FM) for the chatbot. The chatbot must generate responses consistent with the company’s tone. Which solution satisfies these requirements?

• A. Set a low limit on the number of tokens generated by the FM.
• B. Use batch inference to process detailed responses.
• C. Iteratively test and refine prompts until the FM generates the desired responses. ✓
• D. Define a high value for the temperature parameter.

Correct Answer: C. Iteratively test and refine prompts until the FM generates the desired responses.

Explanation

This question tests solutions for achieving tone-consistent, autonomous chatbot responses. Prompt engineering—iteratively testing and refining prompts (C)—is the standard and most effective method to align FM outputs with brand tone without manual intervention. Token limits (A) constrain length but not tone. Batch inference (B) relates to throughput, not stylistic control. A high temperature (D) increases randomness and reduces consistency—opposite the goal. Therefore, option C is correct.