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AI-102 · Question #329

AI-102 Question #329: Real Exam Question with Answer & Explanation

The correct answer is B: Provide grounding content.. To enhance a chatbot's GPT 3.5 responses with minimal development effort, you can provide grounding content or use few-shot learning by adding sample request/response pairs.

Submitted by fatima_kr· Mar 30, 2026Implement conversational AI solutions

Question

You build a chatbot that uses the Azure OpenAI GPT 3.5 model. You need to improve the quality of the responses from the chatbot. The solution must minimize development effort. What are two ways to achieve the goal? Each correct answer presents a complete solution. NOTE: Each correct answer is worth one point.

Options

  • AFine-tune the model.
  • BProvide grounding content.
  • CAdd sample request/response pairs.
  • DRetrain the language model by using your own data.
  • ETrain a custom large language model (LLM).

Explanation

To enhance a chatbot's GPT 3.5 responses with minimal development effort, you can provide grounding content or use few-shot learning by adding sample request/response pairs.

Common mistakes.

  • A. Fine-tuning the model involves significant data preparation and computational resources, which does not minimize development effort.
  • D. Retraining a language model with your own data is an extensive and resource-intensive process, going against the requirement to minimize development effort.
  • E. Training a custom large language model (LLM) from scratch is a highly complex, time-consuming, and resource-intensive endeavor, far from minimizing development effort.

Concept tested. Improving LLM response quality with minimal effort

Reference. https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/advanced-prompt-engineering?tabs=python

Topics

#Azure OpenAI Service#Prompt engineering#Retrieval Augmented Generation#Few-shot prompting

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