For a Machine Learning project, you want to run your TensorFlow models with minimal operational overhead and automatic resource provisioning. The model should also be able to serve real-time predictions. Which GCP service should you use?

*Explanation:* To achieve minimal operational overhead, automatic resource provisioning, and real-time prediction serving for TensorFlow models, you should use **AI Platform Training and Prediction**. AI Platform provides a comprehensive solution for training machine learning models, including TensorFlow models, with automatic resource management and scaling. It also offers the capability to serve real-time predictions, making it a suitable choice for your ML project. Other options like Kubernetes Engine (requires significant operational management), Dataprep with AutoML (lacks low-level control for TensorFlow models), Compute Engine (requires manual resource provisioning), Dataflow (not designed for model serving), and BigQuery ML (different use case) are less suitable for your specific requirements.