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AIF-C01 Practice Question: An e-commerce company uses an LLM to generate…
An e-commerce company uses an LLM to generate product descriptions. They observe that occasionally the model outputs factually incorrect information about products. What is the term for this phenomenon?
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
Hallucinations are when an LLM generates incorrect or nonsensical information that is not grounded in the input or training data.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Bias amplification
Why it's wrong here
Bias amplification refers to the model exaggerating existing biases in the data, not generating false information.
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Overfitting
Why it's wrong here
Overfitting is when a model memorizes training data but performs poorly on unseen data, not necessarily generating false information.
- ✓
Hallucination
Why this is correct
Hallucination is the correct term for when an LLM produces plausible-sounding but factually incorrect content.
- ✗
Concept drift
Why it's wrong here
Concept drift refers to changes in the underlying data distribution over time, not model output errors.
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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.