AI0-001 AI Concepts and Foundations Practice Question
A chatbot developer uses a transformer-based model for customer service. Users complain that the chatbot sometimes gives offensive responses. Which technique should be applied first to mitigate this issue?
⚠ Common exam trap
CompTIA often tests the misconception that modifying inference parameters (like temperature) or adding post-processing classifiers can fix fundamental data quality issues, when in fact the first and most effective mitigation is to address the training data itself.
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
✓
Review and filter the training dataset for offensive or biased language, then fine-tune the model.
The root cause of offensive responses in transformer-based models is typically biased or toxic language present in the training data. Reviewing and filtering the dataset to remove such content, followed by fine-tuning the model, directly addresses the source of the problem. This approach aligns with the principle of data-centric AI, where improving data quality is the first step before modifying model architecture or inference parameters.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase the model size to improve its understanding of context.
Why it's wrong here
Larger models may still produce offensive outputs if trained on biased data.
- ✗
Decrease the temperature parameter to make outputs more deterministic.
Why it's wrong here
Temperature controls randomness, not safety.
- ✗
Train a separate classifier to detect offensive outputs in real time.
Why it's wrong here
This is a reactive approach; proactive data cleaning is more fundamental.
- ✓
Review and filter the training dataset for offensive or biased language, then fine-tune the model.
Why this is correct
Cleaning training data addresses the root cause.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.