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You work at a bank, and your task is to develop a credit risk model to support loan application decisions. You've chosen to implement this model using a neural network in TensorFlow. Regulatory requirements mandate that you should be able to explain the model's predictions based on its features. Additionally, when the model is deployed, you want to continuously monitor its performance over time. To achieve this, you have opted to utilize Vertex AI for both model development and deployment. What should be your course of action?