Which of the following is a valid transform type for raw source data?

The valid transform type for raw source data encompasses the use of both Script and Conditional techniques. This method is essential for manipulating and processing raw data to meet specific requirements or to extract meaningful information.

Scripts allow for the execution of customized code to perform data transformations, enabling complex logic to be applied to the incoming data. This is particularly valuable when needing to clean, format, or augment raw data before it enters the system.

Conditionals provide a way to apply logic checks during the transformation process, allowing for decisions based on the data's content or structure. This may involve filtering records, setting default values, or executing different processing routes based on the conditions set.

In contrast, other options like Arithmetic and Logical focus more on mathematical or boolean operations rather than encompassing a broad scope of transformation capabilities that can handle diverse data formats. Meanwhile, Import and Export refer specifically to the mechanisms of bringing data into and out of systems rather than internal transformation actions. Lastly, Sort and Group pertain to organizing data rather than transforming it in substantive ways that affect its inherent attributes or structure.

Thus, the combination of Script and Conditional represents a robust approach to handling raw source data effectively, making it the correct answer in this context.