In data interpretation, a constraint or optimization question aims to determine the best feasible solution under given restrictions.

In data interpretation, a constraint or optimization question aims to determine the best feasible solution under given restrictions.

• A. The worst-case scenario
• B. The largest dataset
• C. The best feasible solution under given restrictions
• D. The simplest model

Answer: (C)

In optimization under constraints, you look at all solutions that satisfy every restriction (the feasible set) and then pick the one that gives the best value according to the objective (like maximizing profit or minimizing cost). That exactly matches the idea of finding the best feasible solution under given restrictions. The other notions— focusing on a worst-case scenario, just the largest dataset, or the simplest model—don’t inherently address selecting the optimal value within the constraints, so they don’t fit as the main goal here.

In optimization under constraints, you look at all solutions that satisfy every restriction (the feasible set) and then pick the one that gives the best value according to the objective (like maximizing profit or minimizing cost). That exactly matches the idea of finding the best feasible solution under given restrictions. The other notions— focusing on a worst-case scenario, just the largest dataset, or the simplest model—don’t inherently address selecting the optimal value within the constraints, so they don’t fit as the main goal here.