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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
Tractability depends on
Question # 2
What is the main advantage of Dynamic Programming.
Question # 3
If P= NP ,this means
Question # 4
Which is solved by Dynaimc programming.
Question # 5
How does Backtracking work.
Question # 6
Which is an example of O (log n) comlexity.
Question # 7
For which problems is Backtracing suitable.
Question # 8
Easy to verify but hard to solve problem are in.
Question # 9
What is the primary goal of algorithm design techniques.
Question # 10
Whcih is a sorting algorithms.
Question # 11
Which alorithm finds node relationships in a graph.
Question # 12
Which notation shows the upper bound of time complexity.
Question # 13
How does Divide and conquere work.
Question # 14
The statement ghat applies to unsolvable problem
Question # 15
NP hard problems are
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 |
How does Backtracking work. |
A.
Break in to parts
B.
Make local choices
C.
Build and backtrack
D.
Store subproblems |
| 2 |
Complexity class representing problesm solvable efficinetly by a deterministic alogrithm . |
A.
P
B.
NP-Hard
C.
NP
D.
NP -Complete |
| 3 |
P vs NP asks if |
A.
Fast solutions are in NP
B.
Check complexity
C.
Debug rrors
D.
Improve hardware |
| 4 |
Which diagram shows P, NO, NP-hard,NP Complete |
A.
Bar chart
B.
Pie chart
C.
Venn diagram
D.
Lne graph |
| 5 |
Problems in class P are solved in. |
A.
Exponentilal time
B.
Polynomial time
C.
Non determinaistic time
D.
Ifinite time |
| 6 |
Which is a Greedy Algorithm example |
A.
Fibonacci sequence
B.
Coin change
C.
Merge sort
D.
Puzzle solving |
| 7 |
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 |
| 8 |
The Halting Problem is an example of. |
A.
Solvable problem
B.
Tractable prolem
C.
Unsolvable problem
D.
NP Complete problem |
| 9 |
What is the primary goal of algorithm design techniques. |
A.
Imporve hardware
B.
Sovle problems systematically
C.
Reduce input size
D.
Debug software |
| 10 |
What is a key limitatio of Greedy Algorithms. |
A.
Too complex
B.
Always optimal
C.
Not always optimal
D.
High memory use |
Test Questions