AIF-C01 Applications of Foundation Models Practice Question
A data scientist is fine-tuning a foundation model on SageMaker. They want to prevent overfitting. Which THREE actions can help? (Select THREE.)
⚠ Common exam trap
AWS often tests the misconception that increasing epochs or using a smaller learning rate directly prevents overfitting, when in fact these are hyperparameter tuning strategies that can exacerbate or fail to address overfitting without explicit regularization.
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
✓
Apply dropout
Dropout is a regularization technique that randomly drops a fraction of neurons during training, which prevents the model from relying too heavily on specific features and reduces overfitting. In SageMaker, dropout can be applied via framework-specific APIs (e.g., `tf.keras.layers.Dropout` in TensorFlow) or by configuring the model architecture in the training script.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Apply dropout
Why this is correct
Dropout prevents co-adaptation of neurons.
- ✓
Increase training data size
Why this is correct
More data helps generalize better.
- ✗
Increase the number of epochs
Why it's wrong here
More epochs often lead to overfitting.
- ✓
Use early stopping
Why this is correct
Stops training before overfitting.
- ✗
Use a smaller learning rate
Why it's wrong here
Smaller learning rate may not prevent overfitting directly.
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.