Crucial Exams

AWS Certified AI Practitioner AIF-C01 Practice Question

During evaluation, a sentiment analysis model scores 98% accuracy on training data but drops to 62% on new reviews. What does this gap indicate, and which simple mitigation is appropriate?

  • Data leakage is the issue; remove regularization so the model can learn the hidden signal.

  • No real issue exists; simply running more training epochs will close the accuracy gap.

  • The model has high bias (underfitting); increase model complexity to capture more patterns.

  • The model has high variance (overfitting); apply regularization or collect additional diverse training data.

AWS Certified AI Practitioner AIF-C01
Guidelines for Responsible AI
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