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AWS Certified AI Practitioner AIF-C01 Practice Question

During model evaluation, you observe 2% error on training data but 15% error on a separate validation set collected from the same population. What condition does this most likely reveal?

  • The discrepancy is primarily due to data drift between training and production data.

  • The model has high variance and is overfitting to the training data.

  • The model has high bias and is underfitting both datasets.

  • The model demonstrates an ideal bias-variance balance with good generalization.

AWS Certified AI Practitioner AIF-C01
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