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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  • Total Questions15

  • Time Allowed20

Computer Science Ics Part 1 Chapter 3 Online Test

00:00
Question # 1

Which problem gives yes /no answer.

Question # 2

Why use real life tasks in algorithm learning.

Question # 3

What is the primary goal of algorithm design techniques.

Question # 4

The statement ghat applies to unsolvable problem 

Question # 5

What is computational problem.

Question # 6

For which problems is Backtrackign suitable.

Question # 7

When is Generate and Test best.

Question # 8

Whcih is a sorting algorithms.

Question # 9

The meanig of NP in computational complexity is.

Question # 10

How do BFS and DFS differ.

Question # 11

The characteristic of a well defined problem is.

Question # 12

What defines a Greedy algorithm

Question # 13

Tractable prolem canbe solved

Question # 14

Why is tractability important.

Question # 15

Problems in NP and NP-hard are called.

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

Sr.# Question Answer
1

What is limitation Greedy algorithms

A.

Too complex

B.

Always optimal

C.

Not always optimal

D.

High memory use

2

When is Generate and Test best.

A.

small prblem space

B.

Large problem space

C.

No testing needed

D.

No solutions exist

3

What is the primary goal of algorithm design techniques.

A.

Improve hardware

B.

Solve problems systematically

C.

Reduce imput size

D.

Debug software

4

The characteristic of a well defined problem is.

A.

Ambiguous goals and uncelear requirements

B.

Vegue processes and inputs

C.

Clear goas, inpus, processes, and oututs 

D.

Undrined solutions

5

How does Backtracking work.

A.

Break into parts

B.

Build and Backtrack

C.

Store subproblems

D.

Make local choices

6

If P= NP ,this means 

A.

Some NP unsolvable

B.

all NP solvable inpolynomial time

C.

All NP unsolvable

D.

Same space complexity

7

Tractability depends on 

A.

Inputs

B.

Complexity

C.

Outputs

D.

Algorthm type

8

What does space complexity measure.

A.

Execution time

B.

Memory usage

C.

Number of steps

D.

Result accuracy

9

What is the primary goal of algorithm design techniques.

A.

Imporve hardware

B.

Sovle problems systematically

C.

Reduce input size

D.

Debug software

10

How does Linear Search work.

A.

Halve search interval

B.

Check each item one by oe

C.

Explore branch deeply

D.

Use queue for nodes

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