Skip to main content
CloudCertPrep
AI-900Domain 5: Describe Features of Generative AI Workloads on AzureGenerative AIeasySingle choice

What is a large language model (LLM)?

A.A model that stores every web page it was trained on

LLMs learn patterns, not verbatim storage — that's why they can produce false 'facts'.

B.A deep learning model trained on massive text corpora that generates human-like language by predicting the next tokens

Trained text-prediction models. Correct.

C.A rule-based chatbot engine

Rule-based bots predate LLMs — rigid scripts, not learned language.

D.A database of question-answer pairs

Q&A databases are retrieval — LLMs generate novel text.

Why this answer

LLMs (GPT, LLaMA, etc.) are transformer neural networks trained on vast text — they don't retrieve stored text but generate completions by predicting probable next tokens. This generative mechanism explains both their fluency AND hallucinations.

Correct answer: B · Last reviewed 2026-02-14

Practice this interactively

Answer without seeing the solution first in the Generative AI practice session.

Practice Generative AI