Data Structures And Algorithms Quiz


Play this quiz that will help you to excel in Data Structures And Algorithms certification exams, placements etc. This Data Structures And Algorithms quiz consist of 10 questions that you need to solve in 10 minutes. We’ve specially designed this quiz so that you can quickly acquaint to the pattern of questions you can be asked in placement drives, certification exams etc. This DSA test enables you to assess your knowledge of Data Structures And Algorithms.

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Data Structures And Algorithms MCQs

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Data Structures And Algorithms Quiz

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Data Structures And Algorithms Quiz

1. Which characteristics shows that running time or the execution time of operations of data structure must be as small as possible?

Completeness
Correctness
Time Complexity
Space Complexity

2. How many types of compression there?

4
3
2
5

3. The time factor when determining the efficiency of algorithm is measured by?

Counting microseconds
Counting the number of key operations
Counting the number of statements
Counting the kilobytes of algorithm

4. Which is the formal way to express the upper bound of an algorithm's running time.

Big Oh Notation
Omega Notation
Theta Notation
None of the above

5. Which of the following is a theoretical analysis of an algorithm?

Posterior Analysis
Priori Analysis
Simple Analysis
Preori Analysis

6. Which of the following analysis known as theoretical analysis of an algorithm?

A Posterior Analysis
A Priori Analysis
A Feasibility Analysis
A Independent Analysis

7. Which of the following are characteristics of an algorithm?

Algorithm should be clear
Algorithm should be unambiguous
Algorithms must terminate after a finite number of steps
All of the above

8. The Omega notation is the formal way to express the __________ of an algorithms running time.

upper bound
medium bound
lower bound
both the lower bound and the upper bound

9. Omega Notation is the formal way to express the lower bound of an algorithm's running time.

TRUE
FALSE
Can be true or false
Can not say

10. Ο(log n) is?

constant asymptotic notations
logarithmic asymptotic notations
polynomial asymptotic notations
quadratic asymptotic notations

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