Q72 — AWS AIF-C01 Ch.2

Question 72 of 100 | ← Chapter 2

What is the objective of training an ML model on a large dataset?

• A. Optimize model parameter values to fit the training data ✓
• B. Create new algorithms for ML
• C. Clean and preprocess raw data before modeling
• D. Deploy the model into production

Correct Answer: A. Optimize model parameter values to fit the training data

Explanation

The primary objective of training a machine learning (ML) model on a large dataset is to optimize model parameter values to fit the training data. By adjusting model parameters, the model better fits the training data, improving its predictive performance and generalization capability. Data preprocessing is a necessary step prior to training but is not the direct objective of model training; creating new algorithms and model deployment belong respectively to algorithm research and the final stage of the model lifecycle—not the direct objectives of training.