A machine learning engineer has deployed a fraud detection model to an Amazon SageMaker endpoint. To comply with regulatory requirements and provide transparency to stakeholders, the engineer needs to generate explanations for the model's predictions and understand the key factors influencing its decisions. Which approach should the engineer take?