AWS Certified AI Practitioner (AIF-C01) — Question 52

A company is developing a new model to predict the prices of specific items. The model performed well on the training dataset. When the company deployed the model to production, the model's performance decreased significantly.
What should the company do to mitigate this problem?

Answer options

• A. Reduce the volume of data that is used in training.
• B. Add hyperparameters to the model.
• C. Increase the volume of data that is used in training.
• D. Increase the model training time.

Correct answer: C

Explanation

The correct answer is to increase the volume of data used in training, as more data can help the model generalize better to unseen data. Reducing the amount of data (option A) would likely lead to overfitting, while adding hyperparameters (option B) does not address the underlying data issue. Increasing training time (option D) may not be effective if the model lacks sufficient data to learn from.