What is the primary difference between using random forests for classification tasks versus regression tasks?

Question $2$ options:

Random forests can only be used for classification tasks, not regression tasks.

Random forests predict discrete class labels in classification tasks and continuous values in regression tasks.

Random forests use different algorithms for classification and regression tasks.

Random forests have higher accuracy in classification tasks compared to regression tasks.