What type of variables can be used as output for the Read CSV activity?

The Read CSV activity in RPA (Robotic Process Automation) is designed to read data from a CSV (Comma-Separated Values) file and store that data in a structured format. The correct type of variable that can be used as output for this activity is a DataTable variable.

A DataTable is capable of holding multiple rows and columns of data, which reflects the tabular structure of a CSV file. When CSV files are parsed, the information is inherently organized into rows and columns, which aligns perfectly with how DataTables are designed to manage data within RPA workflows. This makes it efficient to perform further manipulations or data extraction tasks within the automated process.

In contrast, other variable types such as strings, arrays, and lists do not provide the same level of structured data handling suitable for the output of a CSV read operation. A string variable is typically used for single pieces of text rather than tabular data. Arrays and lists can hold multiple values, but they lack the specific row-column structure that a DataTable offers, which is essential for representing the entire content of a CSV file effectively. Thus, DataTable variables are the most appropriate choice for output from the Read CSV activity.