A business analyst reviews the following text: txt = "I have registered for a certification exam and will take it within a couple of months. I need to work hard to pass the exam with flying colors."…

Data blending involves combining data from different sources into a single dataset, which is not happening here as the operation is on a single string.

Data appending involves adding new records or rows to an existing dataset, typically at the end, which is distinct from splitting a string.

Imputation is the process of replacing missing data with substituted values, which is unrelated to splitting a text string.

String manipulation is the process of modifying, parsing, or transforming text data, which accurately describes splitting a single string into multiple parts.