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. Which of the following algorithms has very high compression ratio, used by 7zip and xz?

LZSS
LZO
LZMA
LZW

2. 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

3. Which compression loses data?

Lossy compression
Lossless compression
Both A and B
None of the above

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. _________ is measured by counting the number of key operations such as comparisons in the sorting algorithm.

Space
Lines
Time
None of the above

6. 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

7. Which of the following belongs to the algorithm paradigm?

Minimum & Maximum problem
Knapsack problem
Selection problem
Merge sort

8. Data items that cannot be divided are called as?

Group Items
Attribute and Entity
Elementary Items
File items

9. __________ of an algorithm represents the amount of memory space required by the algorithm in its life cycle.

Space complexity
Time Complexity
Quadratic Complexity
Exponential Complexity

10. Not all procedures can be called an algorithm

TRUE
FALSE
Can be true or false
Can not say

Results