Q13 — AWS AIF-C01 Ch.2

Question 13 of 100 | ← Chapter 2

A marketing team is using a large language model (LLM) to generate content for a campaign. The generated content appears plausible and factually consistent—but is inaccurate. What issue is the LLM encountering?

• A. Data leakage
• B. Hallucination ✓
• C. Overfitting
• D. Misalignment

Correct Answer: B. Hallucination

Explanation

The described behavior—output that sounds coherent and reasonable yet contains factual inaccuracies—is the hallmark of hallucination in LLMs. Hallucinations occur when models generate confident, fluent statements unsupported by training data or real-world facts, often due to statistical pattern extrapolation rather than grounded reasoning or retrieval. Data leakage refers to unintended exposure of test data during training; overfitting describes poor generalization on unseen data; misalignment relates to objectives diverging from human intent—not factual inaccuracy per se. Therefore, hallucination (option B) is the correct diagnosis.