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 is solved by Dynamic Programming.

Question # 2

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

Question # 3

Seach algorithm more efficinet for large datasets.

Question # 4

What is a key limitatio of Greedy Algorithms.

Question # 5

Tractability depends on 

Question # 6

Why use real life tasks in algorithm learning.

Question # 7

The Halting Problem is an example of.

Question # 8

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

Question # 9

Which is solved by Dynaimc programming.

Question # 10

For which problems is Backtracking suitable

Question # 11

How does Backtracking work.

Question # 12

What is the main advantage of Dynamic programming.

Question # 13

What is role of algorithm in problem solving.

Question # 14

What does space complexity measure.

Question # 15

A seenario where Dynaimic progrmming proves most useful 

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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

What is computational problem.

A.

solved using algorithm

B.

Solved using creativity

C.

Has unclear input

D.

Has no process

3

How does bubble sort work

A.

Select smallest and swap

B.

Swap adjacent if wrong

C.

Divide and merge

D.

Explore nodes level wise

4

Which problem gives yes /no answer.

A.

Search

B.

Decision

C.

Optimization 

D.

Counting

5

Which is solved by Dynaimc programming.

A.

Coin Change

B.

Fibonacci sequence

C.

Merge sort

D.

Puzzle solving

6

How do BFS and DFS differ.

A.

BFS Stack, DFS -queue

B.

BFS -level , DFS -depth

C.

BFS Sort, DFS-Search

D.

BFS always slower

7

How does Backtracking work.

A.

Break into parts

B.

Build and Backtrack

C.

Store subproblems

D.

Make local choices

8

Tractability depends on 

A.

Inputs

B.

Complexity

C.

Outputs

D.

Algorthm type

9

Which diagram shows P, NO, NP-hard,NP Complete

A.

Bar chart

B.

Pie chart

C.

Venn diagram

D.

Lne graph

10

The halting problem is.

A.

Solvable and tractable

B.

Unsolable and in P

C.

Unsolvable and not in NP

D.

NP Complete

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