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

Which problem gives yes /no answer.

Question # 2

Waht does O (n2) indicate.

Question # 3

What does “input” mean in a computational problem.

Question # 4

Whcih is a sorting algorithms.

Question # 5

Problems in class P are solved in.

Question # 6

Seach algorithm more efficinet for large datasets.

Question # 7

What is computational problem.

Question # 8

Tractability depends on 

Question # 9

NP- complete  matters because.

Question # 10

What does space complexity measure.

Question # 11

What is the primary goal of algorithm design techniques.

Question # 12

Why are commonly used algorithms important.

Question # 13

The meanig of NP in computational complexity is.

Question # 14

Which is an NP complete problem.

Question # 15

Which is solved by Dynaimc programming.

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

Sr.# Question Answer
1

Easy to verify but hard to solve problem are in.

A.

NP

B.

P

C.

NP hard

D.

Undecidable

2

The Halting Problem is an example of.

A.

Solvable problem

B.

Tractable prolem

C.

Unsolvable problem

D.

NP Complete problem

3

Which is solved by Dynamic Programming.

A.

Coin Change

B.

Fibonacci sequence

C.

Merge sort

D.

Puzzle solving

4

The meanig of NP in computational complexity is.

A.

Non deterministic polynomial time

B.

Negative polynomial time

C.

No trivial polynomial time

D.

Numerical polynomial time

5

How does selection sort work.

A.

Swap adjacent

B.

Select minium form unsorted part

C.

Use quenue for nodes

D.

Store intermediate results

6

Which notation shows the upper bound of time complexity.

A.

Omega

B.

Theta

C.

Big O

D.

Lambda

7

Which alorithm finds node relationships in a graph.

A.

Bubble sort

B.

Linear Search 

C.

BFS

D.

Selection sort

8

What is role of algorithm in problem solving.

A.

Gives steps

B.

Ignores logic

C.

Random process

D.

Blocks solutions

9

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

10

How does Backtracking work.

A.

Break into parts

B.

Build and Backtrack

C.

Store subproblems

D.

Make local choices

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