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"

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Computer Science Ics Part 1 Chapter 3 Online Test

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Question # 1

Why are commonly used algorithms important.

Question # 2

How does Backtracking work.

Question # 3

Whcih is a sorting algorithms.

Question # 4

NP- complete  matters because.

Question # 5

P vs NP asks if

Question # 6

What is the main advantages of dynamic programming.

Question # 7

The meanig of NP in computational complexity is.

Question # 8

How does Divide and conquere work.

Question # 9

Which is solved by dynamic programming.

Question # 10

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

Question # 11

What does time complexity measrue.

Question # 12

An algorithm with a time complexity of  O(n log n):

Question # 13

What is the primary goal of algorithm design techniques.

Question # 14

Which notation shows the upper bound of time complexity.

Question # 15

The characteristic of a well defined problem is.

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

Sr.# Question Answer
1

Which is solved by Dynaimc programming.

A.

Coin Change

B.

Fibonacci sequence

C.

Merge sort

D.

Puzzle solving

2

What is the primary goal of algorithm design techniques.

A.

Imporve hardware

B.

Sovle problems systematically

C.

Reduce input size

D.

Debug software

3

Whcih is an III-defined problem.

A.

Check even number

B.

Find shortest path

C.

Reduce poverty

D.

Count book arrangements

4

Problems in class P are solved in.

A.

Exponentilal time

B.

Polynomial time

C.

Non determinaistic time

D.

Ifinite time

5

What is role of algorithm in problem solving.

A.

Gives steps

B.

Ignores logic

C.

Random process

D.

Blocks solutions

6

Which diagram shows P, NO, NP-hard,NP Complete

A.

Bar chart

B.

Pie chart

C.

Venn diagram

D.

Lne graph

7

Tractable prolem canbe solved

A.

In exponential time

B.

Efficiently with large input

C.

With no algorithm

D.

Are always NP hard

8

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

9

NP- complete  matters because.

A.

Solved faster than P

B.

Solving one solves all NP

C.

aLWAYS TRACTABLE

D.

nO REAL USE

10

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

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