To achieve multiple condition coverage with the least number of tests, the selected test data set must cover all possible combinations of the conditions (A > B) or (C > D) and (E = F). Set 2, where each condition has been tested in both true and false states across the minimal test set, is the most efficient way to ensure coverage. It triggers different paths in the code with minimal redundancy, ensuring that each unique path is verified.
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