First Year Computer Science Chapter 3 Online MCQ Test for 1st Year Computer Science Chapter 3 (Data Communication)

ICS Part 1 Computer Science Chapter 3 Test

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ICS Part 1 Computer Science Chapter Wise Test

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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Computer Science Ics Part 1 Chapter 3 Online Test

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Question # 1

Whcih is a sorting algorithms.

Question # 2

How do BFS and DFS differ.

Question # 3

Which is an NP complete problem.

Question # 4

What is the purpose of search algorithms

Question # 5

Which is a Greedy Algorithm example

Question # 6

What is a key limitatio of Greedy Algorithms.

Question # 7

How does Backtracking work.

Question # 8

Which notation shows the upper bound of time complexity.

Question # 9

The halting problem is.

Question # 10

Complexity class representing problesm solvable efficinetly by a deterministic alogrithm .

Question # 11

What does page rank algorithm analyze.

Question # 12

Problems in class P are solved in.

Question # 13

The statement ghat applies to unsolvable problem 

Question # 14

An algorithm that sort data by stepping thourgh the list and swapping adjacent elements if needed is.

Question # 15

What does “input” mean in a computational problem.

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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 into parts

B.

Build and Backtrack

C.

Store subproblems

D.

Make local choices

2

Easy to verify but hard to solve problem are in.

A.

NP

B.

P

C.

NP hard

D.

Undecidable

3

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

4

Which is solved by dynamic programming.

A.

Coin change

B.

Fibonacci sequence

C.

Merge sort

D.

Puzzle solving

5

Which is an NP complete problem.

A.

Sorting 

B.

Knapsack

C.

GCD finding

D.

Binary search

6

How does Divide and conquere work.

A.

Make local chices

B.

Break ,solve, combine

C.

Store subproblem results

D.

Try alloptions, backtrack

7

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

8

The meanig of NP in computational complexity is.

A.

Non deterministic polynomial time

B.

Negative polynomial time

C.

No trivial polynomial time

D.

Numerical polynomial time

9

Which of the following correctly describes a solvable problem.

A.

Cannot be solved

B.

Takes infinite time

C.

Soved by algorithm in finite time

D.

Has no input/output

10

What is limitation Greedy algorithms

A.

Too complex

B.

Always optimal

C.

Not always optimal

D.

High memory use

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  • Haseeb Sajid

    Haseeb Sajid

    29 Mar 2024

    very helpful app for mcq s preparation please also give short question here of all subjects as a test base

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  • Guest User

    Guest User

    17 Oct 2019

    Shehzad khan

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  • Muhammad Awais

    Muhammad Awais

    17 Apr 2019

    GIVE SOME IMPORTANT QUESTION ABOUT TODAY PAPER

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  • sohaib

    sohaib

    21 Nov 2017

    Very helpful

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  • babar ali

    babar ali

    23 May 2017

    Can anyone beat me

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