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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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

How does Linear search work

Question # 2

What is the purpose of search algorithms

Question # 3

What is role of algorithm in problem solving.

Question # 4

What does “input” mean in a computational problem.

Question # 5

How do BFS and DFS differ.

Question # 6

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

Question # 7

Problems in class P are solved in.

Question # 8

When is Generate and Test best.

Question # 9

The meanig of NP in computational complexity is.

Question # 10

What defines a Greedy algorithm

Question # 11

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

Question # 12

What is the primary goal of algorithm design techniques.

Question # 13

Why use real life tasks in algorithm learning.

Question # 14

A seenario where Dynaimic progrmming proves most useful 

Question # 15

Knowing if a problem is solvable hellps.

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

Sr.# Question Answer
1

Which is solved by Dynamic Programming.

A.

Coin Change

B.

Fibonacci sequence

C.

Merge sort

D.

Puzzle solving

2

The halting problem is.

A.

Solvable and tractable

B.

Unsolable and in P

C.

Unsolvable and not in NP

D.

NP Complete

3

How does Divide and conquere work.

A.

Make local chices

B.

Break ,solve, combine

C.

Store subproblem results

D.

Try alloptions, backtrack

4

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

5

What does time complexity measrue.

A.

Memory use

B.

Time growth with input

C.

Number of loops

D.

Output accuracy

6

What does “input” mean in a computational problem.

A.

Result after processing

B.

Steps to solve

C.

Data at start

D.

Type of problem

7

How does Divide and conqurr work

A.

Make local choices

B.

Break, sole, combine

C.

Store subproblem results

D.

Try all options, backtrack

8

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

9

Knowing if a problem is solvable hellps.

A.

Increase complexity

B.

Save time

C.

Generate random output

D.

Avoid design

10

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

Test Questions