The correct answer is C. The 'Split Data' module in Azure Machine Learning designer is specifically designed to divide a dataset into two distinct sets. This is commonly used to create training and validation datasets, which are essential for evaluating a machine learning model's performance. Other options such as selecting columns, adding rows, or joining data do not serve the purpose of partitioning a dataset into training and validation subsets.