Exam AWS Certified AI Practitioner AIF-C01 topic 1 question 72 discussion

C: Exploratory data analysis Explanation: Exploratory Data Analysis (EDA) involves examining and summarizing data to understand its underlying structure, detect patterns, identify relationships (e.g., via a correlation matrix), and highlight any anomalies. The company's activities, such as creating a correlation matrix, calculating statistics, and visualizing the data, are typical tasks performed during EDA. Why not the other options? A: Data pre-processing: Data pre-processing involves cleaning and preparing data for modeling, such as handling missing values, scaling features, or encoding categorical data. While pre-processing may follow EDA, the tasks described in the question focus on analysis rather than preparation.

C. Exploratory data analysis Exploratory Data Analysis (EDA) involves examining and visualizing data to understand its structure, patterns, and relationships. Creating a correlation matrix, calculating statistics, and visualizing data are all typical tasks during the EDA phase, which helps inform later stages such as data preprocessing and feature engineering.