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AIF-C01 Practice Question: An AI practitioner is evaluating a text…

An AI practitioner is evaluating a text generation model and notices that the model sometimes produces plausible-sounding but factually incorrect statements. What is this phenomenon called?

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 generating content that is not grounded in the training data or provided context. It is a known challenge for generative models.

Answer analysis

Option-by-option breakdown

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

  • Hallucination

    Why this is correct

    Hallucination is the generation of false or nonsensical information that appears credible.

  • Catastrophic forgetting

    Why it's wrong here

    Catastrophic forgetting occurs when a model loses previously learned knowledge after fine-tuning on new data.

  • Bias amplification

    Why it's wrong here

    Bias amplification is when the model reinforces existing biases, not necessarily producing factually incorrect statements.

  • Overfitting

    Why it's wrong here

    Overfitting means the model memorizes training data and fails to generalize; it does not specifically refer to generating false information.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This AIF-C01 practice question is part of Courseiva's free Amazon Web Services 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 AIF-C01 exam.