The example that represents a discrete data constraint with viable solutions is:
number of tests passed
This is because "number of tests passed" is a countable quantity and can only take on integer values (e.g., 0, 1, 2, etc.), making it discrete. The other options (distance, average score, and average weight) represent continuous data, which can take on a wide range of values and are not discrete.