Explore topic-wise MCQs in Testing Subject.

This section includes 657 Mcqs, each offering curated multiple-choice questions to sharpen your Testing Subject knowledge and support exam preparation. Choose a topic below to get started.

1.

In the general linear programming model of the assignment problem,

A. one agent can do parts of several tasks.
B. one task can be done by several agents.
C. each agent is assigned to its own best task.
D. one agent is assigned to one and only one task.
Answer» E.
2.

Using the transportation simplex method, the optimal solution to the transportation problem has been found when

A. there is a shipment in every cell.
B. more than one stepping-stone path is available.
C. there is a tie for outgoing cell.
D. the net evaluation index for each unoccupied cell is ≥ 0.
Answer» E.
3.

To find the optimal solution to a linear programming problem using the graphical method

A. find the feasible point that is the farthest away from the origin.
B. find the feasible point that is at the highest location.
C. find the feasible point that is closest to the origin.
D. None of the alternatives is correct.
Answer» E.
4.

Decision makers in queuing situations attempt to balance

A. operating characteristics against the arrival rate.
B. service levels against service cost.
C. the number of units in the system against the time in the system.
D. the service rate against the arrival rate.
Answer» C. the number of units in the system against the time in the system.
5.

Non-negativity condition in an LP model implies

A. A positive coefficient of variables in objective function
B. A positive coefficient of variables in any constraint
C. Non-negative value of resources
D. None of the above
Answer» E.
6.

Identifying the outgoing arc in Phase II of the transportation simplex method is performed using the

A. minimum cost method.
B. MODI method.
C. stepping-stone method.
D. matrix reduction method.
Answer» D. matrix reduction method.
7.

The amount that the objective function coefficient of a decision variable would have to improve before that variable would have a positive value in the solution is the

A. dual price.
B. surplus variable.
C. reduced cost.
D. upper limit.
Answer» D. upper limit.
8.

The assignment problem constraint x31 + x32 + x33 + x34 ≤ 2 means

A. agent 3 can be assigned to 2 tasks.
B. agent 2 can be assigned to 3 tasks.
C. a mixture of agents 1, 2, 3, and 4 will be assigned to tasks.
D. there is no feasible solution.
Answer» B. agent 2 can be assigned to 3 tasks.
9.

In linear programming problem if all constraints are less than or equal to, then the feasible region is

A. Above lines
B. Below the lines
C. Unbounded
D. None of the above
Answer» C. Unbounded
10.

The per-unit change in the objective function associated with assigning flow to an unused arc in the transportation simplex method is called the

A. net evaluation index.
B. degenerate value.
C. opportunity loss.
D. simplex multiplier.
Answer» B. degenerate value.
11.

A solution to a transportation problem that has less than m + n − 1 cells with positive allocations in the transportation table is

A. an optimal solution.
B. an initial feasible solution.
C. a minimum-cost solution.
D. a degenerate solution.
Answer» E.
12.

In the simplex method, a tableau is optimal only if all the cj – zj values are

A. zero or negative.
B. zero.
C. negative and nonzero.
D. positive and nonzero.
Answer» B. zero.
13.

Which of the following special cases does not require reformulation of the problem in orderto obtain a solution?

A. alternate optimality
B. infeasibility
C. unboundedness
D. each case requires a reformulation.
Answer» B. infeasibility
14.

Which of the following is not true regarding an LP model of the assignment problem? ]

A. Costs appear in the objective function only.
B. All constraints are of the ≥ form.
C. All constraint left-hand side coefficient values are 1.
D. All decision variable values are either 0 or 1.
Answer» C. All constraint left-hand side coefficient values are 1.
15.

Which of the following statements is INCORRECT regarding the advantages of simulation?

A. Simulation is relatively easy to explain and understand.
B. Simulation guarantees an optimal solution.
C. Simulation models are flexible.
D. A simulation model provides a convenient experimental laboratory for the real system.
Answer» C. Simulation models are flexible.
16.

Which of the following is not true regarding the linear programming formulation of a transportation problem?

A. Costs appear only in the objective function.
B. The number of variables is (number of origins) × (number of destinations).
C. The number of constraints is (number of origins) × (number of destinations).
D. The constraints' left-hand side coefficients are either 0 or 1.
Answer» D. The constraints' left-hand side coefficients are either 0 or 1.
17.

An assignment problem is considered as a particular case of a transportation problem because

A. The number of rows equals columns
B. All xij = 0 or 1
C. All rim conditions are 1
D. All of the above
Answer» E.
18.

The first step in simulation is to

A. set up possible courses of action for testing.
B. construct a numerical model.
C. validate the model.
D. define the problem.
Answer» E.
19.

An assignment problem is a special case of transportation problem, where

A. Number of rows equals number of columns
B. All rim conditions are 1
C. Values of each decision variable is either 0 or 1
D. All of the above
Answer» E.
20.

When total supply is equal to total demand in a transportation problem, the problem is said to be

A. Balanced
B. Unbalanced
C. Degenerate
D. None of the above
Answer» D. None of the above
21.

The northwest corner rule requires that we start allocating units to shipping routes in the:

A. middle cell.
B. Lower right corner of the table.
C. Upper right corner of the table.
D. Upper left-hand corner of the table.
Answer» E.
22.

Maximization assignment problem is transformed into a minimization problem by

A. Adding each entry in a column from the maximization value in that column
B. Subtracting each entry in a column from the maximum value in that column
C. Subtracting each entry in the table from the maximum value in that table
D. Any one of the above
Answer» D. Any one of the above
23.

The important step required for simulation approach in solving a problem is to

A. Test & validate the model
B. Design the experiment
C. Conduct the experiment
D. All of the above
Answer» E.
24.

To use the transportation simplex method, a transportation problem that is unbalanced requires the use of

A. artificial variables.
B. one or more transshipment nodes.
C. a dummy origin or destination.
D. matrix reduction.
Answer» D. matrix reduction.
25.

Decision Science approach is

A. Multi-disciplinary
B. Scientific
C. Intuitive
D. All of the above
Answer» B. Scientific
26.

An optimal assignment requires that the maximum number of lines that can be drawn through squares with zero opportunity cost be equal to the number of

A. Rows or columns
B. Rows & columns
C. Rows + columns – 1
D. None of the above
Answer» E.
27.

The stepping-stone method requires that one or more artificially occupied cells with a flow of zero be created in the transportation tableau when the number of occupied cells is fewer than

A. m + n − 2
B. m + n − 1
C. m + n
D. m + n + 1
Answer» C. m + n
28.

Decision variables

A. tell how much or how many of something to produce, invest, purchase, hire, etc.
B. represent the values of the constraints.
C. measure the objective function.
D. must exist for each constraint.
Answer» B. represent the values of the constraints.
29.

The maximization or minimization of a quantity is the

A. goal of management science.
B. decision for decision analysis.
C. constraint of operations research.
D. objective of linear programming.
Answer» E.
30.

Management science and operations research both involve

A. qualitative managerial skills.
B. quantitative approaches to decision making.
C. operational management skills.
D. scientific research as opposed to applications.
Answer» C. operational management skills.
31.

A solution that satisfies all the constraints of a linear programming problem except the nonnegativity constraints is called

A. optimal.
B. feasible.
C. infeasible.
D. semi-feasible.
Answer» D. semi-feasible.
32.

LP theory states that the optimal solution to any problem will lie at

A. the origin.
B. a corner point of the feasible region.
C. the highest point of the feasible region.
D. the lowest point in the feasible region.
Answer» C. the highest point of the feasible region.
33.

The equally likely decision criterion is also known as

A. Bayes'.
B. Laplace.
C. minimax.
D. Hurwicz.
Answer» C. minimax.
34.

Which of the following is a valid objective function for a linear programming problem?

A. Max 5xy
B. Min 4x + 3y + (2/3)z
C. Max 5x2+ 6y2
D. Min (x1 + x2)/x3
Answer» C. Max 5x2+ 6y2
35.

In labor planning formulation, how would you write the constraint that there are only 10 fulltime tellers (labeled as T) available?

A. T + 10 > 0
B. T > 10
C. T ≤10
D. All of the above are correct ways.
Answer» D. All of the above are correct ways.
36.

Decision alternatives

A. should be identified before decision criteria are established.
B. are limited to quantitative solutions
C. are evaluated as a part of the problem definition stage.
D. are best generated by brain-storming.
Answer» B. are limited to quantitative solutions
37.

Which of the following is a property of all linear programming problems?

A. alternate courses of action to choose from
B. minimization of some objective
C. a computer program
D. usage of graphs in the solution
Answer» B. minimization of some objective
38.

A point that satisfies all of a problem's constraints simultaneously is a(n)

A. maximum profit point.
B. corner point.
C. intersection of the profit line and a constraint.
D. None of the above
Answer» E.
39.

A type of linear programming problem that is used in marketing is called the

A. media selection problem.
B. Madison Avenue problem.
C. marketing allocation problem.
D. all of the above
Answer» B. Madison Avenue problem.
40.

Which of the following might be viewed as an "optimistic" decision criterion?

A. Hurwicz criterion
B. Maximin
C. Maximax
D. Minimax
Answer» D. Minimax
41.

All of the following are steps in the decision-making process EXCEPT:

A. Define the problem
B. Compute the posterior probabilities
C. Identify possible outcomes
D. List payoffs
Answer» C. Identify possible outcomes
42.

The first step in formulating an LP problem is

A. Graph the problem.
B. Understand the managerial problem being faced.
C. Identify the objective and the constraints.
D. Define the decision variables.
Answer» C. Identify the objective and the constraints.
43.

In converting a less-than-or-equal constraint for use in a simplex table, we must add

A. a surplus variable.
B. a slack variable.
C. an artificial variable.
D. both a surplus and a slack variable.
Answer» C. an artificial variable.
44.

Consider the following linear programming problem:

A. (40,48)
B. (120,0)
C. (180,120)
D. (30,36)
Answer» C. (180,120)
45.

Which of the following does not represent a factor a manager might consider when employing linear programming for a production scheduling?

A. labor capacity
B. employee skill levels
C. warehouse limitations
D. none of the above
Answer» E.
46.

A good decision always implies that we

A. will obtain the best final results
B. have used appropriate quantitative analysis.
C. have followed a logical process.
D. have based the decision on all available appropriate information.
Answer» D. have based the decision on all available appropriate information.
47.

The quantitative analysis approach requires

A. the manager's prior experience with a similar problem.
B. a relatively uncomplicated problem.
C. mathematical expressions for the relationships.
D. each of the above is true.
Answer» D. each of the above is true.
48.

Slack

A. Is the difference between the left and right sides of a constraint.
B. Is the amount by which the left side of a ≤ constraint is smaller than the right side.
C. Is the amount by which the left side of a ≥ constraint is larger than the right side.
D. Exists for each variable in a linear programming problem.
Answer» C. Is the amount by which the left side of a ≥ constraint is larger than the right side.