The correct answer is C. time_col. This parameter is essential for identifying the column in your dataset that contains the timestamps, which is crucial for AutoML to correctly interpret the time-based nature of your data and build appropriate forecasting models. Other parameters like target_col specify the value you want to forecast, max_trials limits the number of model training attempts, and exclude_cols removes certain columns from model training. Accurately setting the time_col ensures that AutoML aligns the data correctly based on time for effective forecasting.