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

Problems in class P are solved in.

Question # 2

The statement ghat applies to unsolvable problem 

Question # 3

NP Problems can be

Question # 4

Why are commonly used algorithms important.

Question # 5

What is the main advantage of Dynamic programming.

Question # 6

Which of the following correctly describes a solvable problem.

Question # 7

What is generate and Test algorithm

Question # 8

Why is tractability important.

Question # 9

Which is solved by Dynaimc programming.

Question # 10

How does bubble sort work

Question # 11

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

Question # 12

What defines a Greedy algorithm

Question # 13

How does Linear Search work.

Question # 14

Sovable problems differ becasue they.

Question # 15

How does Backtracking work.

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

Sr.# Question Answer
1

How does Divide and conquere work.

A.

Make local chices

B.

Break ,solve, combine

C.

Store subproblem results

D.

Try alloptions, backtrack

2

What is computational problem.

A.

solved using algorithm

B.

Solved using creativity

C.

Has unclear input

D.

Has no process

3

How does Backtracking work.

A.

Break into parts

B.

Build and Backtrack

C.

Store subproblems

D.

Make local choices

4

Which technique is used in Merge sort.

A.

Greedy

B.

Divide and conqurer

C.

Dynaimc Programming

D.

Back tracking

5

Which is solved by Dynamic Programming.

A.

Coin Change

B.

Fibonacci sequence

C.

Merge sort

D.

Puzzle solving

6

Knowing if a problem is solvable hellps.

A.

Increase complexity

B.

Save time

C.

Generate random output

D.

Avoid design

7

When is Generate and Test best.

A.

small prblem space

B.

Large problem space

C.

No testing needed

D.

No solutions exist

8

Waht does O (n2) indicate.

A.

Linear growth

B.

Constant time

C.

Square of input

D.

Logarithmic growth

9

What does space complexity measure.

A.

Execution time

B.

Memory usage

C.

Number of steps

D.

Result accuracy

10

The statement ghat applies to unsolvable problem 

A.

They can be solved in polynomial time 

B.

They cannot be solved by any alogorithm

C.

They are always in NP class

D.

They require exponetial time to solve

Test Questions