The correct answer is A (Split Data) because the Split Data module in Azure Machine Learning Studio is specifically designed to divide a dataset into two distinct sets, such as training and testing datasets. This is confirmed by the official Microsoft documentation referenced in multiple comments and the strong community consensus (85% of users selected A). Option B (Load Trained Model) is unrelated as it loads models, not splits data. Option C (Assign Data to Clusters) is for clustering analysis, not dataset division. Option D (Group Data into Bins) groups data into categories within the same dataset but does not create two separate datasets, making it unsuitable for the requirement of distinct datasets.