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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
Whcih is a sorting algorithms.
Question # 2
Which is solved by Dynamic Programming.
Question # 3
What defines a Greedy algorithm
Question # 4
An algorithm that sort data by stepping thourgh the list and swapping adjacent elements if needed is.
Question # 5
The characteristic of a well defined problem is.
Question # 6
How does bubble sort work
Question # 7
Whcih is an III-defined problem.
Question # 8
How does Divide and conqurr work
Question # 9
Which diagram shows P, NO, NP-hard,NP Complete
Question # 10
What is the main advantages of dynamic programming.
Question # 11
How does selection sort work.
Question # 12
For which problems is Backtracking suitable
Question # 13
If P= NP ,this means
Question # 14
What is the purpose of search algorithms
Question # 15
What does space complexity measure.
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 |
NP Problems can be |
A.
Solved in polynomial time
B.
Verified in polynomial time
C.
Solved in exponeitial timeonly
D.
Not verified |
| 2 |
NP- complete matters because. |
A.
Solved faster than P
B.
Solving one solves all NP
C.
aLWAYS TRACTABLE
D.
nO REAL USE |
| 3 |
For which problems is Backtracking suitable |
A.
Optimal substrcuture
B.
Explore all combnations
C.
ONe optimal choice
D.
No overlapping problems |
| 4 |
Problems in class P are solved in. |
A.
Exponentilal time
B.
Polynomial time
C.
Non determinaistic time
D.
Ifinite time |
| 5 |
Complexity class representing problesm solvable efficinetly by a deterministic alogrithm . |
A.
P
B.
NP-Hard
C.
NP
D.
NP -Complete |
| 6 |
How does Linear Search work. |
A.
Halve search interval
B.
Check each item one by oe
C.
Explore branch deeply
D.
Use queue for nodes |
| 7 |
What is the main advantage of Dynamic Programming. |
A.
Avoid redundant work
B.
Locally optmal results
C.
Sole independent problems
D.
Explore all options |
| 8 |
What is a key limitatio of Greedy Algorithms. |
A.
Too complex
B.
Always optimal
C.
Not always optimal
D.
High memory use |
| 9 |
What is role of algorithm in problem solving. |
A.
Gives steps
B.
Ignores logic
C.
Random process
D.
Blocks solutions |
| 10 |
Knowing if a problem is solvable hellps. |
A.
Increase complexity
B.
Save time
C.
Generate random output
D.
Avoid design |
Test Questions