Q34 — AWS AIF-C01 Ch.1

Question 34 of 100 | ← Chapter 1

A company is building a machine learning (ML) model. The company collects data and analyzes it by creating correlation matrices, computing statistical summaries, and visualizing the data. Which stage of the ML pipeline is the company currently performing?

• A. Data preprocessing
• B. Feature engineering
• C. Exploratory data analysis ✓
• D. Hyperparameter tuning

Correct Answer: C. Exploratory data analysis

Explanation

This question tests understanding of different stages in the ML pipeline. The exploratory data analysis (EDA) stage involves gaining deep insights into the data through correlation matrices, statistical summaries, and data visualization. Data preprocessing primarily focuses on cleaning and transforming data; feature engineering emphasizes extracting and selecting valuable features; hyperparameter tuning occurs during model training. The company's activities align with EDA, so the correct answer is C.