Q68 — AWS AIF-C01 Ch.3

Question 68 of 100 | ← Chapter 3

A data scientist is building an AI model to predict sales volume from market datasets. After ingesting the data, the data scientist wants to determine which market parameters most influence sales volume. Then, the data scientist will include those parameters in the model. Which step of the ML lifecycle does this describe?

• A. Data collection
• B. Feature selection ✓
• C. Model validation
• D. Monitoring

Correct Answer: B. Feature selection

Explanation

In the machine learning (ML) lifecycle, feature selection is a critical step involving identification of variables (features) that most significantly impact the prediction outcome. In this scenario, after data ingestion, the data scientist identifies which market parameters most affect sales volume — precisely the activity of feature selection. By selecting the most predictive parameters, the data scientist improves model accuracy. Thus, this describes the feature selection step of the ML lifecycle.