It was Average and normal as they asked simple questions relatde tp core branh in aiml. I answered them correctly still I cou,dnt crack . Mathematical modeling problems: They might present some real-world scenario (“you have factories, warehouses, transportation cost, capacity constraints”) and ask you to formulate it as an LP (or MILP). You might have to define decision variables, constraints, objective, etc. Solver knowledge: Questions about which solvers you know (CBC, GLPK, Gurobi, CPLEX, etc.), the trade-offs, when to use integer variables vs continuous, how to cope with large scale, or how to speed up solving. Interpretation of results: They may give you an LP solution and ask questions like “why is a variable zero?”, “what is the shadow price of a constraint?”, “what happens if you relax a constraint?”, sensitivity analysis. Coding implementation: If the job wants you to implement LP models in code (Python, maybe with PuLP, or other frameworks), you may have to write some code: set up variables, constraints, solve, handle infeasibility or unboundedness.