Question 1 of 30
A data scientist is tasked with developing a predictive model to forecast sales for a retail company using Azure Machine Learning. The dataset includes various features such as historical sales data, promotional activities, and economic indicators. The data scientist decides to use a regression algorithm for this task. Which of the following steps should be prioritized to ensure the model\'s effectiveness and accuracy?
Conducting exploratory data analysis (EDA) to understand the relationships between features and the target variable.
Immediately splitting the dataset into training and testing sets without analyzing the data.
Selecting a complex model without considering the interpretability of the results.
Ignoring missing values and outliers in the dataset to expedite the modeling process.

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