AWS Certified AI Practitioner AIF-C01 Practice Question

An AWS team must pick a model for a fraud-detection project that will be reviewed by regulators. They can choose a simple linear model or a deep neural network. Which tradeoff between interpretability and model performance should the team expect?

  • Higher interpretability and higher accuracy when the team selects the deep neural network.

  • Greater interpretability with the linear model but potentially lower predictive accuracy compared to the neural network.

  • Transparent models typically have slower inference because explanations must be generated after each prediction.

  • Transparent models usually demand significantly more training data to remain interpretable.

AWS Certified AI Practitioner AIF-C01
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