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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
Sovable problems differ becasue they.
Question # 2
What defines a Greedy algorithm
Question # 3
What is role of algorithm in problem solving.
Question # 4
An algorithm with a time complexity of O(n log n):
Question # 5
Which is an NP complete problem.
Question # 6
Why are commonly used algorithms important.
Question # 7
An algorithm that sort data by stepping thourgh the list and swapping adjacent elements if needed is.
Question # 8
What is the primary goal of algorithm design techniques.
Question # 9
Problems in class P are solved in.
Question # 10
Why is bubble sort not for large datasets.
Question # 11
How does Divide and conquere work.
Question # 12
What is a key limitatio of Greedy Algorithms.
Question # 13
How does Linear Search work.
Question # 14
Which is solved by Dynaimc programming.
Question # 15
The statement ghat applies to unsolvable problem
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 |
What is computational problem. |
A.
solved using algorithm
B.
Solved using creativity
C.
Has unclear input
D.
Has no process |
| 2 |
How does bubble sort work |
A.
Select smallest and swap
B.
Swap adjacent if wrong
C.
Divide and merge
D.
Explore nodes level wise |
| 3 |
Easy to verify but hard to solve problem are in. |
A.
NP
B.
P
C.
NP hard
D.
Undecidable |
| 4 |
Why are commonly used algorithms important. |
A.
Reduce hrdware cost
B.
Solve common problems efficiently
C.
Remove need for data structures
D.
for theory only |
| 5 |
P vs NP asks if |
A.
Fast solutions are in NP
B.
Check complexity
C.
Debug rrors
D.
Improve hardware |
| 6 |
Why is tractability important. |
A.
Output color
B.
Language choice
C.
Solve efficiently
D.
Input type |
| 7 |
What is limitation Greedy algorithms |
A.
Too complex
B.
Always optimal
C.
Not always optimal
D.
High memory use |
| 8 |
When is Generate and Test best. |
A.
small prblem space
B.
Large problem space
C.
No testing needed
D.
No solutions exist |
| 9 |
Which problem gives yes /no answer. |
A.
Search
B.
Decision
C.
Optimization
D.
Counting |
| 10 |
Which is solved by dynamic programming. |
A.
Coin change
B.
Fibonacci sequence
C.
Merge sort
D.
Puzzle solving |
Test Questions