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

NP- complete  matters because.

Question # 2

What do sorting algorithm mainly do.

Question # 3

How does bubble sort work

Question # 4

NP Problems can be

Question # 5

The meanig of NP in computational complexity is.

Question # 6

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

Question # 7

What is the main advantage of Dynamic programming.

Question # 8

Seach algorithm more efficinet for large datasets.

Question # 9

What is the main advantage of Dynamic Programming.

Question # 10

The Halting Problem is an example of.

Question # 11

What is the main advantages of dynamic programming.

Question # 12

For which problems is Backtrackign suitable.

Question # 13

When is Generate and Test best.

Question # 14

Knowing if a problem is solvable hellps.

Question # 15

What does “input” mean in a computational problem.

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

Sr.# Question Answer
1

What is the purpose of search algorithms

A.

Arrange data

B.

Find secific data

C.

analyze nodes

D.

Save memory

2

Which problem gives yes /no answer.

A.

Search

B.

Decision

C.

Optimization 

D.

Counting

3

Problems in class P are solved in.

A.

Exponentilal time

B.

Polynomial time

C.

Non determinaistic time

D.

Ifinite time

4

What defines a Greedy algorithm

A.

Explore all solutions

B.

Make best local choice

C.

Store results

D.

Divide problems

5

How does Backtracking work.

A.

Break into parts

B.

Build and Backtrack

C.

Store subproblems

D.

Make local choices

6

What is the main advantages of dynamic programming.

A.

Avoid redundant work

B.

Locally optimal results

C.

Solves independent problems

D.

Explore alloptions

7

Waht does O (n2) indicate.

A.

Linear growth

B.

Constant time

C.

Square of input

D.

Logarithmic growth

8

What is generate and Test algorithm

A.

Tests all options

B.

Picks one solution

C.

skips testing

D.

Uses no logic

9

The Halting Problem is an example of.

A.

Solvable problem

B.

Tractable prolem

C.

Unsolvable problem

D.

NP Complete problem

10

Why is tractability important.

A.

Output color

B.

Language choice

C.

Solve efficiently

D.

Input type

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