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MCQ's Test For Chapter 3 "Computer Science Ics Part 1 Chapter 3 Online Test"
Try The MCQ's Test For Chapter 3 "Computer Science Ics Part 1 Chapter 3 Online Test"
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Total Questions15
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Time Allowed20
Computer Science Ics Part 1 Chapter 3 Online Test
00:00
Question # 1
Tractable prolem canbe solved
Question # 2
NP- complete matters because.
Question # 3
Sovable problems differ becasue they.
Question # 4
Tractability depends on
Question # 5
What does “input” mean in a computational problem.
Question # 6
Which alorithm finds node relationships in a graph.
Question # 7
An algorithm with a time complexity of O(n log n):
Question # 8
Why are commonly used algorithms important.
Question # 9
Whcih is a sorting algorithms.
Question # 10
The halting problem is.
Question # 11
What is role of algorithm in problem solving.
Question # 12
Whcih is an III-defined problem.
Question # 13
Why use real life tasks in algorithm learning.
Question # 14
If P= NP ,this means
Question # 15
Which technique is used in Merge sort.
11th Class ICS Computer Science Chapter 3 MCQ's Test
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ICS Part 1 Computer Science (New Book) Chapter 3 Important MCQ's
| Sr.# | Question | Answer |
|---|---|---|
| 1 |
Which is an NP complete problem. |
A.
Sorting
B.
Knapsack
C.
GCD finding
D.
Binary search |
| 2 |
The statement ghat applies to unsolvable problem |
A.
They can be solved in polynomial time
B.
They cannot be solved by any alogorithm
C.
They are always in NP class
D.
They require exponetial time to solve |
| 3 |
How does Divide and conqurr work |
A.
Make local choices
B.
Break, sole, combine
C.
Store subproblem results
D.
Try all options, backtrack |
| 4 |
What is computational problem. |
A.
solved using algorithm
B.
Solved using creativity
C.
Has unclear input
D.
Has no process |
| 5 |
Why is bubble sort not for large datasets. |
A.
Needs more memory
B.
O (n2) time complexity
C.
Works on sorted data only
D.
Can't handle numbers |
| 6 |
The characteristic of a well defined problem is. |
A.
Ambiguous goals and uncelear requirements
B.
Vegue processes and inputs
C.
Clear goas, inpus, processes, and oututs
D.
Undrined solutions |
| 7 |
An algorithm with a time complexity of O(n log n): |
A.
Bubble sort
B.
Binary Search
C.
Merge Sort
D.
Insertion sort |
| 8 |
How does bubble sort work |
A.
Select smallest and swap
B.
Swap adjacent if wrong
C.
Divide and merge
D.
Explore nodes level wise |
| 9 |
How does Divide and conquere work. |
A.
Make local chices
B.
Break ,solve, combine
C.
Store subproblem results
D.
Try alloptions, backtrack |
| 10 |
Sovable problems differ becasue they. |
A.
Take exponential time
B.
Need better hardware
C.
Halt with a result
D.
Have no input |
Test Questions