In Azure Synapse, which tool allows you to visually create data flows without writing code?

In Azure Synapse, Mapping Data Flow is the tool specifically designed for visually creating data flows without the need for writing any code. This feature enables users to design and manage data transformations graphically by utilizing a drag-and-drop interface. It is particularly beneficial for data engineers and analysts who want to construct ETL (Extract, Transform, Load) processes without needing to engage in script writing or programming languages.

Mapping Data Flow supports various transformation activities, such as aggregations, joins, and data filtering, making it accessible to users who may not have extensive coding experience. This visual approach simplifies the development of complex data workflows, allowing teams to collaborate more effectively and focus on logic rather than syntax.

The other options presented serve different purposes within the Azure ecosystem. Notebooks in Synapse, for instance, cater to data exploration and analysis using languages like Python or SQL, whereas the Data Pipeline Designer is focused on orchestrating and managing data workflows but requires users to define activities and parameters. AutoML is a machine learning tool that automates model generation and doesn't directly relate to creating data flows. Therefore, Mapping Data Flow stands out as the correct tool for achieving coded-free data flow creation.