Which Azure service allows developers to create and train machine learning models?

Azure Machine Learning is specifically designed for creating and training machine learning models. It provides comprehensive tools and services that support the entire machine learning lifecycle, from data preparation and model training to deployment and management. This service enables developers to build machine learning models using a variety of algorithms and frameworks, including popular libraries such as TensorFlow and PyTorch.

Azure Machine Learning offers a collaborative environment where data scientists can work together, experiment with different models, and utilize automated machine learning capabilities to enhance productivity. With features such as integrated notebooks, automated ML, model management, and a rich ecosystem of integrations, it streamlines the process of developing sophisticated AI solutions.

Other services, such as Azure Functions, Azure App Service, and Azure Logic Apps, serve different purposes. Azure Functions is primarily for serverless computing and running event-driven code, while Azure App Service facilitates the deployment of web apps, mobile app backends, and RESTful APIs. Azure Logic Apps is geared towards automating workflows and integrating applications. None of these services are tailored for the creation and training of machine learning models, which solidifies Azure Machine Learning as the correct choice for this purpose.