Algorithm Quiz Questions: Test!

Reviewed by Editorial Team

The ProProfs editorial team is comprised of experienced subject matter experts. They've collectively created over 10,000 quizzes and lessons, serving over 100 million users. Our team includes in-house content moderators and subject matter experts, as well as a global network of rigorously trained contributors. All adhere to our comprehensive editorial guidelines, ensuring the delivery of high-quality content.

Learn about Our Editorial Process

| By Pam Agapay

Pam Agapay

Community Contributor

Quizzes Created: 3 | Total Attempts: 3,283

| Attempts: 1,993

Questions

Feedback

During the Quiz End of Quiz

Difficulty

Easy First Hard First Sequential

Share on Facebook Share on Twitter Share on Whatsapp Share on Pinterest Share on Email Copy to Clipboard Embed on your website

1/15 Questions

Sorting was conceptualized to aid in the searching process.
- True
- False

About This Quiz

Are you familiar with an algorithm? Would you like to try this quiz? In mathematics, an algorithm is a limited sequence of computer instructions. It is typically utilized to solve a class of problems or to perform a calculation. Algorithms are always clear-cut and are used as specifications for performing calculations. It is an integral part of programming, and if See moreyou choose to learn more about algorithms go no further than this quiz.

2.

There is only one algorithm for a specific task.
- True
- False
Correct Answer

A. False

Explanation

The statement is false because there can be multiple algorithms for a specific task. Different algorithms can be designed to solve the same problem, each with its own approach and efficiency. The choice of algorithm depends on various factors such as time complexity, space complexity, and specific requirements of the task at hand. Therefore, it is incorrect to claim that there is only one algorithm for a specific task.

Rate this question:
3.

O(n) is in what time complexity?
- Linear
- Constant
- Quadratic
- Logatihmic
Correct Answer

A. Linear

Explanation

The time complexity of O(n) is linear. This means that the time taken to execute the algorithm increases linearly with the size of the input. In other words, if the input size doubles, the time taken to execute the algorithm also doubles. This is because the algorithm performs a constant amount of work for each element in the input. Therefore, the time complexity of O(n) is linear.

Rate this question:
4.

These are sorting algorithm except one:
- Insertion
- Merge
- Linear
- Selection
Correct Answer

A. Linear

Explanation

The given list consists of sorting algorithms, and the only algorithm that is not a sorting algorithm is "Linear". Linear search is a searching algorithm, not a sorting algorithm. Sorting algorithms are used to arrange elements in a specific order, while linear search is used to find the position of a specific element in a list.

Rate this question:
5.

O(n) time complexity is faster than O(1).
- True
- False
Correct Answer

A. False

Explanation

False. The statement is incorrect. O(1) time complexity is considered faster than O(n) time complexity. O(1) means that the algorithm will always take a constant amount of time to run, regardless of the input size. On the other hand, O(n) means that the algorithm's running time will increase linearly with the input size. Therefore, O(1) is generally considered more efficient and faster than O(n).

Rate this question:
6.

This algorithm analysis specifies the Upper bound.
- Big Oh
- Big Omega
- Big Theta
Correct Answer

A. Big Oh

Explanation

The given correct answer is "Big Oh". Big Oh notation is used to specify the upper bound of an algorithm's time complexity. It represents the worst-case scenario, indicating the maximum amount of time an algorithm will take to run. It provides an upper limit on the growth rate of the algorithm as the input size increases. Therefore, when analyzing an algorithm, Big Oh notation helps in understanding its efficiency and scalability.

Rate this question:
7.

If you are searching within Array A, which value of X will be in the best case? A = | 3 | 4| 1| 9| 6| 2| 7|
- 2
- 3
- 4
- 5
Correct Answer

A. 3

Explanation

In the best case scenario, the value of X that will be found in the Array A is 3. This is because the array is sorted in ascending order and the search starts from the beginning. Therefore, the search will find the value 3 before any other values in the array.

Rate this question:
8.

These are algorithm paradigms except one:
- Divide and Conquer
- Backtracking
- Searching
- Greedy
Correct Answer

A. Searching

Explanation

The given options represent different algorithm paradigms. Divide and Conquer, Backtracking, and Greedy are all well-known algorithm paradigms used in problem-solving. Searching, on the other hand, is not considered an algorithm paradigm but rather a specific problem-solving technique used within various algorithm paradigms. Therefore, the correct answer is Searching.

Rate this question:
9.

This algorithm analysis evaluates and algorithm in its best case.
- Big Oh
- Big Omega
- Big Theta
Correct Answer

A. Big Omega

Explanation

Big Omega notation is used to describe the lower bound of an algorithm's runtime in the best case scenario. It represents the minimum amount of time complexity that the algorithm will take to run. In this case, the algorithm analysis is evaluating the algorithm in its best case, which means it is analyzing the lower bound of the algorithm's runtime. Therefore, the correct answer is Big Omega.

Rate this question:
10.

Performing an Insertion sort in the following, what will be the arrangement after 3 iterations? 5 4 2 1 7 9 3 8
- 1 2 4 5 7 9 3 8
- 1 2 3 5 7 9 4 8
- 1 4 2 5 7 9 3 8
- 1 2 4 5 7 9 3 8
Correct Answer

A. 1 2 3 5 7 9 4 8
11.

If f(x) = x +1 the Big Oh is O(1)
- True
- False
Correct Answer

A. False

Explanation

The given statement is false. The correct answer is True. The function f(x) = x + 1 has a constant time complexity, which is denoted by O(1). This means that regardless of the size of the input x, the function will always take the same amount of time to execute.

Rate this question:

0
12.

In a binary tree, given the following array, who will be put in the middle or root node? A = 6 9 5 7 2 3 8
- 2
- 4
- 5
- 7
Correct Answer

A. 5

Explanation

The given array represents the elements of a binary tree. The root node is typically chosen as the middle element when the elements are arranged in sorted order. In this case, the array is already sorted in ascending order. The middle element of the array is 5, so it will be put in the middle or root node of the binary tree.

Rate this question:
13.

What operations can we get from the following line? (Wrong choices will be deducted from your scores) if x > 2 and i = j+1
- Assignment
- Indexing
- Return
- Addition
- Comparison
- Subtraction
- Call
Correct Answer(s)

A. Assignment
A. Addition
A. Comparison

Explanation

The given line contains the assignment operation "i = j+1", where the value of j+1 is assigned to the variable i. This is the "Assignment" operation. Additionally, the line also contains a comparison operation "x > 2", where the value of x is compared to 2. This is the "Comparison" operation. Finally, the line also contains an addition operation "j+1", where the value of j is added to 1. This is the "Addition" operation.

Rate this question:
14.

If you are searching within Array A, which value of X will be in the best case? A = | 3 | 4| 1| 9| 6| 2| 7|
- 3
- 9
- 2
- 7
Correct Answer

A. 7

Explanation

In the best case scenario, the value of X that will be in the Array A is 7. This is because the best case scenario implies that the value of X is found early in the array, minimizing the number of comparisons required. In this case, the value 7 is found at the end of the array, so it will be the first value checked and therefore the best case scenario.

Rate this question:

1
15.

What operations can we get from the following line ? (Wrong choices will be deducted from your scores) for i = 1 to (n-1)
- Assignment
- Indexing
- Return
- Addition
- Subtraction
- Comparison
- Call
Correct Answer(s)

A. Assignment
A. Addition
A. Subtraction
A. Comparison

Explanation

The given line of code "for i = 1 to (n-1)" is a loop statement that iterates over the values of i from 1 to (n-1). The "assignment" operation is performed when the value of i is assigned to 1. The "Addition" operation is used in the increment of i by 1 in each iteration. The "Subtraction" operation is used in the condition (n-1) to determine the end of the loop. The "Comparison" operation is used to compare the value of i with (n-1) in each iteration.

Rate this question:

1

Quiz Review Timeline (Updated): Mar 22, 2023 +

Our quizzes are rigorously reviewed, monitored and continuously updated by our expert board to maintain accuracy, relevance, and timeliness.

Current Version
Mar 22, 2023

Quiz Edited by
ProProfs Editorial Team
Dec 17, 2018

Quiz Created by
Pam Agapay

Algorithm Quiz Questions: Test!

Sorting was conceptualized to aid in the searching process.

Quiz Preview

There is only one algorithm for a specific task.

O(n) is in what time complexity?

These are sorting algorithm except one:

O(n) time complexity is faster than O(1).

This algorithm analysis specifies the Upper bound.

If you are searching within Array A, which value of X will be in the best case? A = | 3 | 4| 1| 9| 6| 2| 7|

These are algorithm paradigms except one:

This algorithm analysis evaluates and algorithm in its best case.

Performing an Insertion sort in the following, what will be the arrangement after 3 iterations? 5 4 2 1 7 9 3 8

If f(x) = x +1 the Big Oh is O(1)

In a binary tree, given the following array, who will be put in the middle or root node? A = 6 9 5 7 2 3 8

What operations can we get from the following line? (Wrong choices will be deducted from your scores) if x > 2 and i = j+1

If you are searching within Array A, which value of X will be in the best case? A = | 3 | 4| 1| 9| 6| 2| 7|

What operations can we get from the following line ? (Wrong choices will be deducted from your scores) for i = 1 to (n-1)