You have a chatbot that answers technical questions by using the Azure OpenAI GPT-3.5 large language model (LLM). Which two statements accurately describe the chatbot? Each correct answer presents a c

The correct answer is A. Grounding data can be used to constrain the output of the chatbot. C. The chatbot might respond with inaccurate data.. Grounding data is the process of exposing your Large Language Model (LLM) to real-world data to ensure it responds to queries more accurately and reliably.

Submitted by kwame.gh· Mar 30, 2026Describe features of conversational AI workloads on Azure

Question

You have a chatbot that answers technical questions by using the Azure OpenAI GPT-3.5 large language model (LLM). Which two statements accurately describe the chatbot? Each correct answer presents a complete solution. NOTE: Each correct answer is worth one point.

Options

AGrounding data can be used to constrain the output of the chatbot.
BThe chatbot will always provide accurate data.
CThe chatbot might respond with inaccurate data.
DThe chatbot is suitable for performing medical diagnosis.

How the community answered

(66 responses)

A
88% (58)
B
3% (2)
D
9% (6)

Explanation

Grounding data is the process of exposing your Large Language Model (LLM) to real-world data to ensure it responds to queries more accurately and reliably.

Topics

#Azure OpenAI#Large Language Models#LLM limitations#Grounding data

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