1Z0-1127-25 LLM Fundamentals Practice Question
Which of the following is a known limitation of large language models where the model generates plausible-sounding but factually incorrect information?
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 is the term used when an LLM produces content that is not grounded in training data or provided context, appearing confident but being incorrect.
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
Why it's wrong here
Bias refers to systematic prejudices in the model's outputs, not necessarily factually incorrect information.
- ✗
Context window limitation
Why it's wrong here
Context window limitation restricts the amount of input the model can process, but does not directly cause false outputs.
- ✓
Hallucination
Why this is correct
Hallucination describes the generation of plausible but false information.
- ✗
Knowledge cutoff
Why it's wrong here
Knowledge cutoff refers to the model not knowing events after its training date, not generating false information.
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