Which component in Azure Synapse Analytics enables you to perform code-free transformations?

Mapping Data Flow is the correct answer because it enables users to create data transformation logic without needing to write any code. This feature is part of Azure Synapse Analytics and allows for visually designing data transformation workflows using a user-friendly graphical interface. Users can drag and drop different components to define how data should be transformed as it flows from source to sink, making it accessible for individuals who may not have extensive coding experience.

Using Mapping Data Flow, you can perform various operations such as joins, aggregations, and data cleansing. This capability is particularly valuable in a development environment where quick iterations and visual confirmation of logic are needed. The design experience provides real-time data previews, making it straightforward to verify changes and results as transformations are applied.

In contrast, while other components like Azure Data Factory and the overall Studio environment facilitate data integration and analytics, they typically involve some level of coding or configuration beyond the no-code aspect provided by Mapping Data Flow. The Copy activity is focused on moving data between different stores rather than transforming it, aligning with its role in the data integration process. Thus, Mapping Data Flow distinctly stands out as the component tailored for code-free transformations in Azure Synapse Analytics.