AWS Certified Machine Learning Engineer - Associate MLA-C01 — Topic 1 Question 227

Question

A company wants to launch a new website feature that predicts home prices based on user-supplied home attributes. The attributes include location, square footage, and number of bedrooms and bathrooms. An ML engineer has trained a regression model by using the Amazon SageMaker AI XGBoost algorithm. The model performs well with training data. However, the model significantly underperforms when it is validated against real-world data. Which solution will improve the model’s validation score with the LEAST implementation effort?

Accepted Answer

Correct answer: A. The correct answer is A. Option A: Create a larger training dataset that includes more real-world data. Retrain the model.

AWS Certified Machine Learning Engineer - Associate MLA-C01 — Question 227