Explanation:

According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and Microsoft Learn module "Describe core concepts of machine learning on Azure", the Azure Machine Learning Designer is a drag-and-drop, no-code/low-code interface that allows users to build, test, and deploy machine learning models visually without needing to write extensive code.
* Drag-and-Drop Visual Canvas # YESThe Azure Machine Learning Designer indeed provides a graphical interface where users can connect prebuilt modules for data preprocessing, training, evaluation, and deployment. Microsoft documentation describes it as a "drag-and-drop visual environment that simplifies machine learning model creation." This allows beginners and business users to construct machine learning pipelines intuitively, confirming this statement as True.
* Save Progress as a Pipeline Draft # YESThe designer lets users save their current work as a pipeline draft, enabling them to pause and return later. Microsoft Learn explicitly states that you can "save and publish pipeline drafts before running or deploying them." This functionality ensures workflow continuity, collaboration, and version management-making this statement also True.
* Include Custom JavaScript Functions # NOThe Azure Machine Learning Designer allows the integration of Python scripts through the "Execute Python Script" module for custom logic, but it does not support JavaScript. Custom code in the designer environment is limited to Python, as the platform is built for data science and machine learning tasks typically handled in Python-based environments.
Therefore, this statement is False.