- Data Structures & Algorithms
- DSA - Home
- DSA - Overview
- DSA - Environment Setup
- DSA - Algorithms Basics
- DSA - Asymptotic Analysis
- Data Structures
- DSA - Data Structure Basics
- DSA - Data Structures and Types
- DSA - Array Data Structure
- Linked Lists
- DSA - Linked List Data Structure
- DSA - Doubly Linked List Data Structure
- DSA - Circular Linked List Data Structure
- Stack & Queue
- DSA - Stack Data Structure
- DSA - Expression Parsing
- DSA - Queue Data Structure
- Searching Algorithms
- DSA - Searching Algorithms
- DSA - Linear Search Algorithm
- DSA - Binary Search Algorithm
- DSA - Interpolation Search
- DSA - Jump Search Algorithm
- DSA - Exponential Search
- DSA - Fibonacci Search
- DSA - Sublist Search
- DSA - Hash Table
- Sorting Algorithms
- DSA - Sorting Algorithms
- DSA - Bubble Sort Algorithm
- DSA - Insertion Sort Algorithm
- DSA - Selection Sort Algorithm
- DSA - Merge Sort Algorithm
- DSA - Shell Sort Algorithm
- DSA - Heap Sort
- DSA - Bucket Sort Algorithm
- DSA - Counting Sort Algorithm
- DSA - Radix Sort Algorithm
- DSA - Quick Sort Algorithm
- Graph Data Structure
- DSA - Graph Data Structure
- DSA - Depth First Traversal
- DSA - Breadth First Traversal
- DSA - Spanning Tree
- Tree Data Structure
- DSA - Tree Data Structure
- DSA - Tree Traversal
- DSA - Binary Search Tree
- DSA - AVL Tree
- DSA - Red Black Trees
- DSA - B Trees
- DSA - B+ Trees
- DSA - Splay Trees
- DSA - Tries
- DSA - Heap Data Structure
- Recursion
- DSA - Recursion Algorithms
- DSA - Tower of Hanoi Using Recursion
- DSA - Fibonacci Series Using Recursion
- Divide and Conquer
- DSA - Divide and Conquer
- DSA - Max-Min Problem
- DSA - Strassen's Matrix Multiplication
- DSA - Karatsuba Algorithm
- Greedy Algorithms
- DSA - Greedy Algorithms
- DSA - Travelling Salesman Problem (Greedy Approach)
- DSA - Prim's Minimal Spanning Tree
- DSA - Kruskal's Minimal Spanning Tree
- DSA - Dijkstra's Shortest Path Algorithm
- DSA - Map Colouring Algorithm
- DSA - Fractional Knapsack Problem
- DSA - Job Sequencing with Deadline
- DSA - Optimal Merge Pattern Algorithm
- Dynamic Programming
- DSA - Dynamic Programming
- DSA - Matrix Chain Multiplication
- DSA - Floyd Warshall Algorithm
- DSA - 0-1 Knapsack Problem
- DSA - Longest Common Subsequence Algorithm
- DSA - Travelling Salesman Problem (Dynamic Approach)
- Approximation Algorithms
- DSA - Approximation Algorithms
- DSA - Vertex Cover Algorithm
- DSA - Set Cover Problem
- DSA - Travelling Salesman Problem (Approximation Approach)
- Randomized Algorithms
- DSA - Randomized Algorithms
- DSA - Randomized Quick Sort Algorithm
- DSA - Karger’s Minimum Cut Algorithm
- DSA - Fisher-Yates Shuffle Algorithm
- DSA Useful Resources
- DSA - Questions and Answers
- DSA - Quick Guide
- DSA - Useful Resources
- DSA - Discussion
Data Structures Algorithms Online Quiz
Following quiz provides Multiple Choice Questions (MCQs) related to Data Structures Algorithms. You will have to read all the given answers and click over the correct answer. If you are not sure about the answer then you can check the answer using Show Answer button. You can use Next Quiz button to check new set of questions in the quiz.
Q 1 - Which one of the below is not divide and conquer approach?
Answer : B
Explanation
Among the options, only Merge sort divides the list in sub-list, sorts and then merges them together
Answer : B
Explanation
Expression notations are not reverse (or so) of each other, rather operators used in the expression have different arrangements.
Q 3 - Find the odd out
A - Prim's Minimal Spanning Tree Algorithm
B - Kruskal's Minimal Spanning Tree Algorithm
Answer : C
Explanation
Floyd-Warshall's All pair shortest path Algorithm uses dynamic programming approach. All other mentioned algorithms use greedy programming approach
Q 4 - Which of the following searching techniques do not require the data to be in sorted form
Answer : A
Explanation
Both binary and interpolation search requires data set to be in sorted form. Linear search can work even if the data is not sorted.
Q 5 - What about recursion is true in comparison with iteration?
A - very expensive in terms of memory.
C - every recursive program can be written with iteration too.
Answer : D
Explanation
Recursion is just an other way to write the same program code. But calling a function again and again makes it expensive in terms of memory, CPU cycles and delivers less performance.
Q 6 - Which of the below mentioned sorting algorithms are not stable?
Answer : A
Explanation
Except selection sort, all other soring algorithms are stable.
Q 7 - Which of these alogrithmic approach tries to achieve localized optimum solution −
Answer : A
Explanation
Greedy approach focuses only on localized optimum solution.
Q 8 - Program with highest run-time complexity is
Answer : A
Explanation
Tower of hanoi has the highest run time complexity
Q 9 - The following sorting algorithms maintain two sub-lists, one sorted and one to be sorted −
Answer : D
Explanation
Both selection sort and insertion sort maintains two sublists and then checks unsorted list for next sorted element.
Q 10 - Aposterior analysis are more accurate than apriori analysis because −
A - it contains the real data.
B - it assumes all other factors to be dynamic.
Answer : B
Explanation
In this analysis, actual statistics like running time and space required, are collected.
To Continue Learning Please Login