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"

  • Total Questions15

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Computer Science Ics Part 1 Chapter 3 Online Test

00:00
Question # 1

How does Linear Search work.

Question # 2

Which is solved by Dynamic Programming.

Question # 3

NP- complete  matters because.

Question # 4

For which problems is Backtrackign suitable.

Question # 5

NP hard problems are

Question # 6

Knowing if a problem is solvable hellps.

Question # 7

Complexity class representing problesm solvable efficinetly by a deterministic alogrithm .

Question # 8

What does time complexity measrue.

Question # 9

Which technique is used in Merge sort.

Question # 10

What is the purpose of search algorithms

Question # 11

Which is an example of O (log n) comlexity.

Question # 12

What is generate and Test algorithm

Question # 13

How does bubble sort work

Question # 14

Which is solved by dynamic programming.

Question # 15

How does Backtracking work.

Prepare Complete Set Wise Chapter 3 "Computer Science Ics Part 1 Chapter 3 Online Test" MCQs Online With Answers


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ICS Part 1 Computer Science (New Book) Chapter 3 Important MCQ's

Sr.# Question Answer
1

For which problems is Backtracing suitable.

A.

Optimal substrcuture

B.

Explore all combinations

C.

ON optimal choice

D.

No overlapping problems

2

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

3

Why use real life tasks in algorithm learning.

A.

Show steps in life

B.

Make it harder

C.

Reduce interest

D.

Add confusion 

4

How does Divide and conqurr work

A.

Make local choices

B.

Break, sole, combine

C.

Store subproblem results

D.

Try all options, backtrack

5

NP- complete  matters because.

A.

Solved faster than P

B.

Solving one solves all NP

C.

aLWAYS TRACTABLE

D.

nO REAL USE

6

What defines a Greedy algorithm

A.

Explore all solutions

B.

Make best local choice

C.

Store results

D.

Divide problems

7

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

A.

Selection sort

B.

Quick sort

C.

Bubble sort

D.

Merge sort

8

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

9

The halting problem is.

A.

Solvable and tractable

B.

Unsolable and in P

C.

Unsolvable and not in NP

D.

NP Complete

10

Knowing if a problem is solvable hellps.

A.

Increase complexity

B.

Save time

C.

Generate random output

D.

Avoid design

Test Questions

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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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