Q61 — AWS AIF-C01 Ch.2

Question 61 of 100 | ← Chapter 2

A company is developing a model to predict product prices. The model performs well on its training dataset but shows significantly degraded performance when deployed into production.

• A. Reduce the amount of data used during training.
• B. Add hyperparameters to the model.
• C. Increase the amount of data used during training. ✓
• D. Increase model training time.

Correct Answer: C. Increase the amount of data used during training.

Explanation

Performance degradation in production despite strong training performance typically indicates overfitting—where the model memorizes noise or idiosyncrasies in the training set rather than learning generalizable patterns. Increasing the amount of training data (C) improves generalization by exposing the model to broader variations and real-world distributions, helping it learn robust, transferable relationships—thus mitigating overfitting and improving production performance.