Questão 20 — Amazon AIF-C01 Simulado | AWS Certified AI Practitioner Questões e Respostas
A real estate company is developing an ML model to predict house prices by using sales and marketing data. The company wants to use feature engineering to build a model that makes accurate predictions. Which approach will meet these requirements?
- A. Understand patterns by providing data visualization.
- B. Tune the model's hyperparameters.
- C. Create or select relevant features for model training.
- D. Collect data from multiple sources.
Resposta correta:
C
Explicação
Explanation: Comprehensive and Detailed Explanation From Exact AWS AI documents: Feature engineering focuses on: Creating new features Selecting the most relevant existing features Improving model signal and accuracy AWS ML best practices identify feature engineering as a key driver of predictive performance. Why the other options are incorrect: Visualization (A) helps understanding, not feature creation. Hyperparameter tuning (B) optimizes models, not features. Data collection (D) expands datasets but does not engineer features. AWS AI document references: Feature Engineering Best Practices Improving Model Accuracy on AWS ML Model Development Lifecycle