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This section includes 220 Mcqs, each offering curated multiple-choice questions to sharpen your BBA in Computer Applications knowledge and support exam preparation. Choose a topic below to get started.
| 101. |
Rohit got profit of 11½% by selling his old car. However he realized that had he sold it forRs. 8100 more, his profit would be 38.5%. At what price did he buy the car? |
| A. | rs. 44500 |
| B. | rs. 55000 |
| C. | rs. 41000 |
| D. | rs. 30000 |
| Answer» E. | |
| 102. |
Ramesh sold a statue for a price 25% higher than the original price of the statue. He hadhowever bought the statue at 20% discount on the original price. With the profit of Rs. 2025, findthe original price of the statue. |
| A. | rs. 6000 |
| B. | rs. 7500 |
| C. | rs. 3500 |
| D. | rs. 4500 |
| Answer» C. rs. 3500 | |
| 103. |
Rs. 8400 is divided among A, B, C and D in such a way that the shares of A and B, B and C,and C and D are in the ratios of 2:3, 4:5 and 6:7 respectively. The share of A is |
| A. | rs. 1280 |
| B. | rs. 8400 |
| C. | rs. 8210 |
| D. | rs. 1320 |
| Answer» B. rs. 8400 | |
| 104. |
Ram gets Rs. 2600 for Rs. 2000 in 5 years at some rate of simple interest. Had he invested inother places where rate of simple interest is 3% more than current rate, how much would haveRam got in same time? |
| A. | rs. 2900 |
| B. | rs. 3000 |
| C. | rs. 3100 |
| D. | rs. 2800 |
| Answer» B. rs. 3000 | |
| 105. |
Feasible solution satisfies __________ |
| A. | only constraints |
| B. | only non-negative restriction |
| C. | [a] and [b] both |
| D. | [a],[b] and optimum solution |
| Answer» D. [a],[b] and optimum solution | |
| 106. |
Simran bought pet food worth Rs. 56000. She then sold 1/3rd of it incurring a loss of 40%.What profit she must earn on rest of the supplies to nullify this loss? |
| A. | 25% |
| B. | 20% |
| C. | 45% |
| D. | 50% |
| Answer» C. 45% | |
| 107. |
Uma wants to gain 15% profit on her sale of sugar. She buys 120 kg of sugar at Rs. 24 per kgto mix with 180 kg of sugar bought at Rs. 28 per kg. She sells the sugar mix at …. |
| A. | rs. 8159 |
| B. | rs. 9108 |
| C. | rs. 9756 |
| D. | rs. 8564 |
| Answer» B. rs. 9108 | |
| 108. |
In Degenerate solution value of objective function _____________. |
| A. | increases infinitely |
| B. | basic variables are nonzero |
| C. | decreases infinitely |
| D. | one or more basic variables are zero |
| Answer» E. | |
| 109. |
Find the simple interest on Rs. 78000 at 15(2/5) % per annum for 9 months. |
| A. | rs. 7804 |
| B. | rs. 8979 |
| C. | rs. 8046 |
| D. | rs. 9009 |
| Answer» E. | |
| 110. |
Rs. 20400 was divided in two parts and then invested. One part invested at 6.25% for 8 yearsyields the same interest as the other part invested at 7% for 5 years. What is the value of smallerpart? |
| A. | 9600 |
| B. | 8400 |
| C. | 10100 |
| D. | 6500 |
| Answer» C. 10100 | |
| 111. |
Simple interest at x% for x years will come out to be Rs x on a sum of Rs? |
| A. | x |
| B. | 100/x |
| C. | 100/x2 |
| D. | 100x |
| Answer» C. 100/x2 | |
| 112. |
By purchasing an article at 20 % discount on the original price and then selling it at a price of25% above the original price, a trader earns Rs. 200 as the profit. What was the original price ofthe article? |
| A. | rs. 444.44 |
| B. | rs. 255.50 |
| C. | rs. 100.10 |
| D. | rs. 810 |
| Answer» B. rs. 255.50 | |
| 113. |
A constraint in an LP model becomes redundant because |
| A. | two iso-profit line may be parallel to each other |
| B. | the solution is unbounded |
| C. | this constraint is not satisfied by the solution values |
| D. | none of the above |
| Answer» B. the solution is unbounded | |
| 114. |
A sum becomes Rs. 3000 at the rate of 12% per annum (simple interest). The same sumbecomes Rs. 3300 at the rate of 15% per annum (simple interest) in the same duration. Find thesum and the duration. |
| A. | rs. 2000 and 20 years |
| B. | rs. 1900 and 8.25 years |
| C. | rs. 1500 and 7 years |
| D. | rs. 1800 and 5.5 years |
| Answer» E. | |
| 115. |
A solution which optimizes the objective function is called as ------ |
| A. | solution |
| B. | basic solution |
| C. | feasible solution |
| D. | optimal solution |
| Answer» E. | |
| 116. |
A boy incurs 5% loss by selling a book for Rs. 1000. At what price should the book be soldto earn 5 % profit? |
| A. | rs. 1105.26 |
| B. | rs. 1251.50 |
| C. | rs. 1085.13 |
| D. | rs. 1885.13 |
| Answer» B. rs. 1251.50 | |
| 117. |
Which of the following is an assumption of an LP model |
| A. | divisibility |
| B. | proportionality |
| C. | additivity |
| D. | all of the above |
| Answer» E. | |
| 118. |
A sells a car to B at 10% loss. If B sells it for Rs. 54000 and gains 20%, the cost price of thecar for A was |
| A. | rs. 25000 |
| B. | rs. 50000 |
| C. | rs. 37500 |
| D. | rs. 60000 |
| Answer» E. | |
| 119. |
Suresh for 2 years invested Rs. 500 in SBI. He also invested Rs. 300 in ICICI for 4 years. Atthe end he received Rs. 220 from both banks as simple interest. What must have been rate ofinterest? |
| A. | 10% |
| B. | 12% |
| C. | 11% |
| D. | 5.5% |
| Answer» B. 12% | |
| 120. |
If Harsh sold a match ticket for Rs.340 at a profit of 25%, at what price did he purchased theticket? |
| A. | 280 |
| B. | 255 |
| C. | 300 |
| D. | 272 |
| Answer» E. | |
| 121. |
Ratio of two numbers is 3:8. On adding 5 to both numbers, the ratio becomes 2:5. Which isthe smaller number out of the two? |
| A. | 64 |
| B. | 120 |
| C. | 45 |
| D. | 105 |
| Answer» D. 105 | |
| 122. |
Eleven bags are bought for Rs.1000 and sold at 10 for Rs.1100. What is the gain or loss inpercentage? |
| A. | 10% |
| B. | 21% |
| C. | 25% |
| D. | 20% |
| Answer» C. 25% | |
| 123. |
Which of the following statements is true with respect to the optimal solution of an LP problem |
| A. | Every LP problem has an optimal solution |
| B. | Optimal solution of an LP problem always occurs at an extreme point |
| C. | At optimal solution all resources are completely used |
| D. | If an optimal solution exists, there will always be at least one at a corner |
| Answer» B. Optimal solution of an LP problem always occurs at an extreme point | |
| 124. |
Which of the following is not a characteristic of the LP model |
| A. | Alternative courses of action |
| B. | An objective function of maximization type |
| C. | Limited amount of resources |
| D. | Non-negativity condition on the value of decision variables. |
| Answer» B. An objective function of maximization type | |
| 125. |
Maximization of objective function in an LP model means |
| A. | Value occurs at allowable set of decisions |
| B. | Highest value is chosen among allowable decisions |
| C. | Neither of above |
| D. | Both a & b |
| Answer» E. | |
| 126. |
If an opportunity cost value is used for an unused cell to test optimality, it should be |
| A. | equal to zero |
| B. | most negative number |
| C. | most positive number |
| D. | any value |
| Answer» C. most positive number | |
| 127. |
The dummy source or destination in a transportation problem is added to |
| A. | satisfy rim conditions |
| B. | prevent solution from becoming degenerate |
| C. | ensure that total cost does not exceed a limit |
| D. | none of the above |
| Answer» B. prevent solution from becoming degenerate | |
| 128. |
The solution to a transportation problem with ‘m’ rows (supplies) & ‘n’ columns (destination) is feasible if number of positive allocations are |
| A. | m+n |
| B. | m*n |
| C. | m+n-1 |
| D. | m+n+1 |
| Answer» D. m+n+1 | |
| 129. |
The degeneracy in the transportation problem indicates that |
| A. | dummy allocation(s) needs to be added |
| B. | the problem has no feasible solution |
| C. | the multiple optimal solution exist |
| D. | a & b but not c |
| Answer» D. a & b but not c | |
| 130. |
A solution which satisfies non-negative conditions also is called as----- |
| A. | solution |
| B. | basic solution |
| C. | feasible solution |
| D. | none of the above |
| Answer» D. none of the above | |
| 131. |
The graph of x≤2 and y≥2 will be situated in the |
| A. | first and second quadrant |
| B. | second and third quadrant |
| C. | first and third quadrant |
| D. | third and fourth quadrant |
| Answer» C. first and third quadrant | |
| 132. |
If the number of available constraints is 3 and the number of parameters to be optimized is 4, then |
| A. | the objective function can be optimized |
| B. | the constraints are short in number |
| C. | the solution is problem oriented |
| D. | none of these |
| Answer» C. the solution is problem oriented | |
| 133. |
A basic solution is called non-degenerate, if |
| A. | all the basic variables are zero |
| B. | none of the basic variables is zero |
| C. | at least one of the basic variables is zero |
| D. | none of these |
| Answer» C. at least one of the basic variables is zero | |
| 134. |
The intermediate solutions of constraints must be checked by substituting them back into |
| A. | objective function |
| B. | constraint equations |
| C. | not required |
| D. | none of the above |
| Answer» C. not required | |
| 135. |
The set of decision variable which satisfies all the constraints of the LPP is called as----- |
| A. | solution |
| B. | basic solution |
| C. | feasible solution |
| D. | none of the above |
| Answer» B. basic solution | |
| 136. |
For the constraint of a linear optimizing function z=x1+x2 given by x1+x2≤1, 3x1+x2≥3 and x1, x2≥0 |
| A. | there are two feasible regions |
| B. | there are infinite feasible regions |
| C. | there is no feasible region |
| D. | none of these |
| Answer» D. none of these | |
| 137. |
Non-negative 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 resourse |
| D. | none of the above |
| Answer» D. none of the above | |
| 138. |
Before formulating a formal LP model, it is better to |
| A. | express each constraints in words |
| B. | express the objective function in words |
| C. | verbally identify decision variables |
| D. | all of the above |
| Answer» E. | |
| 139. |
Constraints in an LP model represents |
| A. | limititations |
| B. | requirements |
| C. | balancing, limitations and requirements |
| D. | all of above |
| Answer» E. | |
| 140. |
Which of the following is assumption of an LP model |
| A. | divisibility |
| B. | proportionality |
| C. | additivity |
| D. | all of the above |
| Answer» E. | |
| 141. |
The best use of linear programming is to find optimal use of |
| A. | money |
| B. | manpower |
| C. | machine |
| D. | all the above |
| Answer» E. | |
| 142. |
The first step in formulating a linear programming problem is |
| A. | identify any upper or lower bound on the decision variables |
| B. | state the constraints as linear combinations of the decision variables |
| C. | understand the problem |
| D. | identify the decision variables |
| Answer» E. | |
| 143. |
A model is |
| A. | an essence of reality |
| B. | an approximation |
| C. | an idealization |
| D. | all of the above |
| Answer» E. | |
| 144. |
If the value of the objective function ð’› can be increased or decreased indefinitely, such solution is called |
| A. | bounded solution |
| B. | unbounded solution |
| C. | solution |
| D. | none of the above |
| Answer» C. solution | |
| 145. |
The value of objective function is maximum under linear constraints |
| A. | at the center of feasible region |
| B. | at (0,0) |
| C. | at any vertex of feasible region |
| D. | the vertex which is at maximum distance from (0, 0) |
| Answer» D. the vertex which is at maximum distance from (0, 0) | |
| 146. |
The true statement for the graph of inequations 3x+2y≤6 and 6x+4y≥20 , is |
| A. | both graphs are disjoint |
| B. | both do not contain origin |
| C. | both contain point (1, 1) |
| D. | none of these |
| Answer» B. both do not contain origin | |
| 147. |
The linear function of the variables which is to be maximize or minimize is called |
| A. | constraints |
| B. | objective function |
| C. | decision variable |
| D. | none of the above |
| Answer» C. decision variable | |
| 148. |
Alternative solution exist in a linear programming problem when |
| A. | one of the constraint is redundant |
| B. | objective function is parallel to one of the constraints |
| C. | two constraints are parallel |
| D. | all of the above |
| Answer» E. | |
| 149. |
Maximization of objective function in LPP means |
| A. | value occurs at allowable set decision |
| B. | highest value is chosen among allowable decision |
| C. | none of the above |
| D. | all of the above |
| Answer» C. none of the above | |
| 150. |
The objective function for a L.P model is 3ð‘¥1 + 2ð‘¥2, if ð‘¥1 = 20 and ð‘¥2 = 30, what is the value of the objective function? |
| A. | 0 |
| B. | 50 |
| C. | 60 |
| D. | 120 |
| Answer» E. | |