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.

Algorithms + Data Structures

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Data Structures And Algorithms MCQs

Practice Data Structures & Algorithms MCQ Questions, which will help you to sharpen your DSA skills and also helps you to prepare for placements, interviews, technical rounds, competitive programming etc.

Data Structures And Algorithms Quiz

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Data Structures And Algorithms Quiz

1. Ο(log n) is?

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

2. The space required by an algorithm is equal to the sum of ________ components.

1
2
3
4

3. 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

4. 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

5. An algorithm should have _______ well-defined inputs.

0
1
0 or more
1 or more

6. In Average case, if operation takes ƒ(n) time in execution, then m operations will take?

ƒ(n)
f(m)
mf(n)
nf(m)

7. What is true about Interface in data structure?

Each data structure has an interface.
Interface represents the set of operations that a data structure supports.
An interface only provides the list of supported operations, type of parameters they can accept and return type of these operations.
All of the above

8. Uncompressed video requires a ________ data rate.

high
low
medium
very high

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

Omega Notation
Theta Notation
Big Oh Notation
All of the above

10. ________ of an algorithm refers to defining the mathematical boundation/framing of its run-time performance.

Symptotic analysis
Asymptotic analysis
Posterior Analysis
Priori Analysis

Results