AIF-C01 Applications of Foundation Models Practice Question
A data science team is fine-tuning a foundation model on Amazon SageMaker. Which THREE steps are part of the best practice? (Choose three.)
⚠ Common exam trap
AWS often tests the misconception that fine-tuning always requires a larger model or immediate deployment, while the real best practices focus on validation, monitoring, and data diversity to maintain model robustness.
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
✓
Monitor for catastrophic forgetting during fine-tuning.
Catastrophic forgetting is a known risk when fine-tuning foundation models, where the model loses previously learned knowledge while adapting to new data. Monitoring for this during fine-tuning on SageMaker allows the team to detect performance degradation on the original task and adjust training accordingly, ensuring the model retains its general capabilities.
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 model size to improve performance.
Why it's wrong here
Model size should be chosen based on task; larger models may overfit or be costly.
- ✓
Monitor for catastrophic forgetting during fine-tuning.
Why this is correct
Catastrophic forgetting can cause loss of original capabilities; monitoring helps adjust training.
- ✓
Use early stopping to prevent overfitting.
Why this is correct
Early stopping halts training when validation performance stops improving.
- ✗
Deploy the model to production immediately after fine-tuning.
Why it's wrong here
Models should be evaluated and tested before production deployment.
- ✓
Use a diverse dataset representing various scenarios.
Why this is correct
Diverse data improves generalization.
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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.