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AI Concepts and FoundationsmediumMultiple ChoiceObjective-mapped

AI0-001 AI Concepts and Foundations Practice Question

A company deploys a chatbot using a large language model (LLM). After launch, users report that the chatbot sometimes generates plausible but false information. This phenomenon is known as:

⚠ Common exam trap

Watch out — candidates often confuse hallucination with overfitting, thinking the model is 'making up' data due to memorization errors, but overfitting is about poor generalization to new inputs, not confident false outputs from a well-generalized model.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Hallucination

Hallucination in LLMs refers to the generation of plausible but factually incorrect or nonsensical information. This occurs when the model's probabilistic next-token prediction produces confident-sounding outputs that deviate from training data or real-world facts, often due to insufficient grounding or training data gaps.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Gradient explosion

    Why it's wrong here

    Incorrect; gradient explosion is a training instability, not output behavior.

  • Overfitting

    Why it's wrong here

    Incorrect; overfitting relates to generalization, not factual accuracy.

  • Concept drift

    Why it's wrong here

    Incorrect; concept drift is about shifting relationships, not false outputs.

  • Hallucination

    Why this is correct

    Correct; LLMs often produce false information convincingly.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This AI0-001 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI0-001 exam.