Which of the following transform types can be used to transform raw source data?

The correct choice highlights the transform types that are utilized to convert raw source data into a more usable format. Specifically, the DateFormat and Lookup transforms are essential in data transformation processes.

DateFormat is used to standardize date formats, ensuring consistency across data sets, which is crucial for accurate data analysis and reporting. This transformation enables easier manipulation and comparison of date values.

Lookup transforms allow for the mapping of values from one domain to another, effectively enriching the raw data with contextual information. This is particularly valuable when dealing with reference data, where certain codes or identifiers need to be translated into more meaningful labels, enhancing the overall data quality.

In contrast, while the other choices present various transform types, they do not primarily focus on transforming raw source data in the same functional capacity as DateFormat and Lookup. String and Boolean types relate more to data types than transformation processes, while Map and Filter generally pertain to data manipulation or selection criteria rather than directly transforming raw data. Encrypt and Decrypt refer to securing data rather than transforming it, making them distinct from the transformations aimed at data usability.