AWS Certified AI Practitioner Practice Mode

Community Discussion

Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.

• Chose C1

  Overfitting – A model performs better on training data, than on new data. Model fit the training data too well when it see something slightly different it thinks the probability is low that it is a fish. To correct this train with more diverse data. If you train too long it will start to overemphasize inimportnat features called noise. Which is another way of overfitting.

• Chose C1

  C is the correct answer

• Chose C6

  Increase the volume of data that is used in training: If the model performs well on the training dataset but poorly on production data, it could be due to overfitting or the model not generalizing well. Increasing the volume of data can help the model generalize better to unseen data and improve its robustness, thus improving performance in production.