The example that represents a discrete data constraint with viable solutions is:
number of tests passed
This is because the number of tests passed can only take on specific integer values (0, 1, 2, etc.), making it a discrete data set. The other examples involve continuous data (e.g., weights and distances) or averages that can take on a range of values rather than being counted directly.