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

00:00
Question # 1

How does selection sort work.

Question # 2

Knowing if a problem is solvable hellps.

Question # 3

Which is solved by dynamic programming.

Question # 4

What is the primary goal of algorithm design techniques.

Question # 5

How does Backtracking work.

Question # 6

What is the primary goal of algorithm design techniques.

Question # 7

What do sorting algorithm mainly do.

Question # 8

Whcih is a sorting algorithms.

Question # 9

If P= NP ,this means 

Question # 10

Why is tractability important.

Question # 11

What does time complexity measrue.

Question # 12

Waht does O (n2) indicate.

Question # 13

What is limitation Greedy algorithms

Question # 14

NP hard problems are

Question # 15

What is the main advantage of Dynamic Programming.

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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

What is computational problem.

A.

solved using algorithm

B.

Solved using creativity

C.

Has unclear input

D.

Has no process

2

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

A.

Sorting numbers

B.

Pair comparison

C.

Binary search

D.

Linear search

3

Tractable prolem canbe solved

A.

In exponential time

B.

Efficiently with large input

C.

With no algorithm

D.

Are always NP hard

4

NP- complete  matters because.

A.

Solved faster than P

B.

Solving one solves all NP

C.

aLWAYS TRACTABLE

D.

nO REAL USE

5

Which technique is used in Merge sort.

A.

Greedy

B.

Divide and conqurer

C.

Dynaimc Programming

D.

Back tracking

6

What is the purpose of search algorithms

A.

Arrange data

B.

Find secific data

C.

analyze nodes

D.

Save memory

7

Which is solved by dynamic programming.

A.

Coin change

B.

Fibonacci sequence

C.

Merge sort

D.

Puzzle solving

8

Which alorithm finds node relationships in a graph.

A.

Bubble sort

B.

Linear Search 

C.

BFS

D.

Selection sort

9

Seach algorithm more efficinet for large datasets.

A.

Bubble sort

B.

Merge sort

C.

Quick Sort

D.

Selection sort

10

Which is solved by Dynaimc programming.

A.

Coin Change

B.

Fibonacci sequence

C.

Merge sort

D.

Puzzle solving

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