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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
The characteristic of a well defined problem is.
Question # 2
Seach algorithm more efficinet for large datasets.
Question # 3
What is the primary goal of algorithm design techniques.
Question # 4
Problems in class P are solved in.
Question # 5
What do sorting algorithm mainly do.
Question # 6
Which alorithm finds node relationships in a graph.
Question # 7
What does “input” mean in a computational problem.
Question # 8
Why are commonly used algorithms important.
Question # 9
Which is an NP complete problem.
Question # 10
How does Backtracking work.
Question # 11
What is the main advantages of dynamic programming.
Question # 12
How does Divide and conqurr work
Question # 13
What is generate and Test algorithm
Question # 14
What is the primary goal of algorithm design techniques.
Question # 15
An algorithm with a time complexity of O(n log n):
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 the purpose of search algorithms |
A.
Arrange data
B.
Find secific data
C.
analyze nodes
D.
Save memory |
| 2 |
What does page rank algorithm analyze. |
A.
Page links
B.
page color
C.
Page size
D.
Page font |
| 3 |
What does space complexity measure. |
A.
Execution time
B.
Memory usage
C.
Number of steps
D.
Result accuracy |
| 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 |
Which problem gives yes /no answer. |
A.
Search
B.
Decision
C.
Optimization
D.
Counting |
| 6 |
How does Linear search work |
A.
Halve search interval
B.
Check each item one by one
C.
Explore branch deeply
D.
Use queue for nodes |
| 7 |
Which is an example of O (log n) comlexity. |
A.
Sorting numbers
B.
Pair comparison
C.
Binary search
D.
Linear search |
| 8 |
Problems in NP and NP-hard are called. |
A.
P
B.
BPP
C.
NP Complete
D.
Tractable |
| 9 |
A seenario where Dynaimic progrmming proves most useful |
A.
Problem withou overlapping sub problems
B.
Problems solved by making local choices
C.
Problems with overlapping sub problems and optimal sbstructure
D.
Problem divided into independent sub problems |
| 10 |
What is the main advantage of Dynamic programming. |
A.
Avoid redundant work
B.
Locally optimal results
C.
Solve independent problems
D.
Explore alloptions |
Test Questions