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Scenario: The Serpent Society, recognized as one of the most successful and well-organized sector coalitions, is implementing Microsoft Azure to enhance its business operations. Founded by Seth Voelker, the Society is seeking your expertise in optimizing its Azure Machine Learning implementation. Currently, the team is building an experiment using Azure Machine Learning Designer. The lead developer has already split the dataset into training and testing sets. Another developer has selected the Two-Class Boosted Decision Tree as the algorithm. The objective is to determine the Area Under the Curve (AUC) to evaluate model performance. The following modules are available for use: a. Export Data b. Tune Model Hyperparameters c. Cross-Validate Model d. Evaluate Model e. Score Model f. Train Model Question: Which modules should the developer use in the correct sequence to properly determine AUC and evaluate model performance?