If a customer's source file contains data separated by a semi-colon, what type of Data Source File should be built?

When working with a customer's source file that contains data separated by a semi-colon, creating a Delimited File type is the appropriate approach. This is because delimited files are designed to handle data separated by specific characters, such as commas, tabs, or in this case, semi-colons. The key feature of a delimited file is that it allows you to define the character that separates the data fields, making it flexible for various file formats.

Using a Delimited File type facilitates the correct parsing of the data into individual fields or columns based on the semi-colon delimiter specified. This ensures that each piece of information can be accurately processed and loaded into the appropriate structure or database.

The other types of file formats, such as Fixed Width, XML, and JSON, are not suitable in this context. Fixed Width files require each data field to occupy a specific number of characters, which doesn't align with the requirement for a separator. XML and JSON files are structured formats that represent data as nested elements or objects rather than simple row-column data, making them inappropriate for handling data defined by a semi-colon delimiter.

In summary, selecting a Delimited File type allows for effective handling of the source data based on its semi-colon separation, making it the