You are working on a classification problem using time series data. After minimal experimentation, without employing sophisticated algorithms or extensive hyperparameter tuning, your model achieves an AUC ROC value of 99% on the training data. This result is surprisingly high and raises concerns about potential issues. Given the scenario, what are the two most appropriate next steps to diagnose and resolve the issue? (Choose two correct options)