What is a feasible solution?

A feasible solution in the context of linear programming is defined as one that satisfies all the constraints imposed on the problem. Constraints can include limitations on resources, capacities, or any requirements that the solution must meet to be considered valid. Therefore, option B accurately captures this definition, highlighting that all conditions must be fulfilled for a solution to be viable.

The other options do not accurately represent the concept of feasibility in linear programming. While exceeding constraints (option A) would make a solution invalid, ease of implementation (option C) and cost-effectiveness (option D) are considerations that might influence decision-making but do not determine whether a solution is feasible. Feasibility strictly pertains to adherence to constraints, making option B the correct choice.