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

Whcih is a sorting algorithms.

Question # 2

What do sorting algorithm mainly do.

Question # 3

How does Divide and conquere work.

Question # 4

Which of the following correctly describes a solvable problem.

Question # 5

P vs NP asks if

Question # 6

What does “input” mean in a computational problem.

Question # 7

Which technique is used in Merge sort.

Question # 8

Which notation shows the upper bound of time complexity.

Question # 9

NP hard problems are

Question # 10

Which is solved by Dynamic Programming.

Question # 11

Why use real life tasks in algorithm learning.

Question # 12

Whcih is an III-defined problem.

Question # 13

How does selection sort work.

Question # 14

For which problems is Backtracing suitable.

Question # 15

Why is bubble sort not for large datasets.

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

Sr.# Question Answer
1

What does “input” mean in a computational problem.

A.

Result after processing

B.

Steps to solve

C.

Data at start

D.

Type of problem

2

What do sorting algorithm mainly do.

A.

Network routing

B.

Arrange data

C.

Find node links

D.

Search data

3

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

4

What does space complexity measure.

A.

Execution time

B.

Memory usage

C.

Number of steps

D.

Result accuracy

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

What defines a Greedy algorithm

A.

Explore all solutions

B.

Make best local choice

C.

Store results

D.

Divide problems

7

What is limitation Greedy algorithms

A.

Too complex

B.

Always optimal

C.

Not always optimal

D.

High memory use

8

What is the main advantage of Dynamic Programming.

A.

Avoid redundant work

B.

Locally optmal results

C.

Sole independent problems

D.

Explore all options

9

Knowing if a problem is solvable hellps.

A.

Increase complexity

B.

Save time

C.

Generate random output

D.

Avoid design

10

Sovable problems differ becasue they.

A.

Take exponential time

B.

Need better hardware

C.

Halt with a result

D.

Have no input

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