Exploring Algorithms and Their Analysis

Exploring Algorithms and Their Analysis

Professional Development

47 Qs

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Exploring Algorithms and Their Analysis

Exploring Algorithms and Their Analysis

Assessment

Quiz

English

Professional Development

Practice Problem

Easy

Created by

Mr. Atul Kumar Rai

Used 1+ times

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47 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the time complexity of binary search?

O(n)

O(n log n)

O(1)

O(log n)

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Define the term 'algorithm' in computer science.

An algorithm is a programming language.

An algorithm is a type of computer hardware.

An algorithm is a step-by-step procedure for solving a problem or performing a task in computer science.

An algorithm is a random guess to solve a problem.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the difference between a greedy algorithm and a dynamic programming algorithm?

Greedy algorithms focus on local optimization; dynamic programming focuses on global optimization through subproblem solutions.

Dynamic programming is faster than greedy algorithms in all cases.

Greedy algorithms always provide the optimal solution; dynamic programming does not.

Greedy algorithms solve problems in a single pass; dynamic programming requires multiple passes.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Explain the concept of Big O notation.

Big O notation provides a high-level understanding of the efficiency of algorithms, typically expressed as O(n), O(log n), O(n^2), etc.

Big O notation measures the speed of a computer's processor.

Big O notation is used to calculate the memory size of an algorithm.

Big O notation describes the number of lines in a program.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the worst-case time complexity of bubble sort?

O(n)

O(n^2)

O(n log n)

O(log n)

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Describe the divide and conquer strategy in algorithms.

Divide and conquer combines all subproblems into one large solution without solving them individually.

Divide and conquer is a method that avoids breaking down problems into smaller parts.

Divide and conquer is a strategy that only focuses on the largest subproblem.

Divide and conquer is an algorithmic strategy that divides a problem into smaller subproblems, solves them independently, and combines their solutions.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a hash table and how does it work?

A hash table is a linear data structure that stores elements in a sequential manner.

A hash table is a graphical representation of data relationships.

A hash table is a type of database used for storing large amounts of data.

A hash table is a data structure that uses a hash function to map keys to values for efficient data retrieval.

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