AIF-C01 Fundamentals of AI and ML Practice Question
A company is using Amazon Comprehend for sentiment analysis on customer reviews. They notice that the sentiment is often incorrect for negative reviews with sarcasm. What is the likely cause?
⚠ Common exam trap
The AIF-C01 exam often tests the misconception that 'fine-tuning' or 'more data' can fix any NLP issue, but here the trap is that sarcasm is a distinct linguistic challenge that pre-trained models inherently fail at, regardless of domain or data volume, unless specifically addressed with sarcasm-aware training or custom classifiers.
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
✓
The pre-trained model cannot handle sarcasm well
Amazon Comprehend's pre-trained sentiment analysis models are trained on general text corpora and lack the ability to detect sarcasm, which relies on contextual cues, tone, and figurative language. Sarcasm often inverts the literal sentiment (e.g., 'Great job, as always' for a failure), and standard NLP models without explicit sarcasm detection or fine-tuning cannot reliably interpret this inversion. Therefore, the likely cause is that the pre-trained model cannot handle sarcasm well.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
The model is not fine-tuned for the domain
Why it's wrong here
Comprehend's pre-trained models cannot be fine-tuned by users.
- ✓
The pre-trained model cannot handle sarcasm well
Why this is correct
Sarcasm detection is a known limitation of general-purpose sentiment analysis models.
- ✗
Insufficient training data
Why it's wrong here
Amazon Comprehend uses pre-trained models; training data is not provided by the user.
- ✗
The input text is too long
Why it's wrong here
Input length limits may truncate text but sarcasm detection is a semantic challenge.
Go deeper
Related to this question
About these practice questions
One of 619 original AIF-C01 practice questions on Courseiva, each with a full explanation and wrong-answer analysis — not exam dumps or protected exam content. Learn why practice questions differ from exam dumps →
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.