Data Structures & Algorithms

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Typical Problems - Problem Set Sorting Algorithms: Quick, Merge, Heap - Typical Problems - Real World Applications Stacks and Queues Stacks and Queues - Advanced Concepts Stacks and Queues - Applications Stacks and Queues - Applications - Advanced Concepts Stacks and Queues - Applications - Applications Stacks and Queues - Applications - Case Studies Stacks and Queues - Applications - Competitive Exam Level Stacks and Queues - Applications - Higher Difficulty Problems Stacks and Queues - Applications - Numerical Applications Stacks and Queues - Applications - Problem Set Stacks and Queues - Applications - Real World Applications Stacks and Queues - Case Studies Stacks and Queues - Competitive Exam Level Stacks and Queues - Complexity Analysis Stacks and Queues - Complexity Analysis - Advanced Concepts Stacks and Queues - Complexity Analysis - Applications Stacks and Queues - Complexity Analysis - Case Studies Stacks and Queues - Complexity Analysis - Competitive Exam Level Stacks and Queues - Complexity Analysis - Higher Difficulty Problems Stacks and Queues - Complexity Analysis - Numerical Applications Stacks and Queues - Complexity Analysis - Problem Set Stacks and Queues - Complexity Analysis - Real World Applications Stacks and Queues - Higher Difficulty Problems Stacks and Queues - Implementations in C++ Stacks and Queues - Implementations in C++ - Advanced Concepts Stacks and Queues - Implementations in C++ - Applications Stacks and Queues - Implementations in C++ - Case Studies Stacks and Queues - Implementations in C++ - Competitive Exam Level Stacks and Queues - Implementations in C++ - Higher Difficulty Problems Stacks and Queues - Implementations in C++ - Numerical Applications Stacks and Queues - Implementations in C++ - Problem Set Stacks and Queues - Implementations in C++ - Real World Applications Stacks and Queues - Implementations in Python Stacks and Queues - Implementations in Python - Advanced Concepts Stacks and Queues - Implementations in Python - Applications Stacks and Queues - Implementations in Python - Case Studies Stacks and Queues - Implementations in Python - Competitive Exam Level Stacks and Queues - Implementations in Python - Higher Difficulty Problems Stacks and Queues - Implementations in Python - Numerical Applications Stacks and Queues - Implementations in Python - Problem Set Stacks and Queues - Implementations in Python - Real World Applications Stacks and Queues - Numerical Applications Stacks and Queues - Problem Set Stacks and Queues - Real World Applications Stacks and Queues - Typical Problems Stacks and Queues - Typical Problems - Advanced Concepts Stacks and Queues - Typical Problems - Applications Stacks and Queues - Typical Problems - Case Studies Stacks and Queues - Typical Problems - Competitive Exam Level Stacks and Queues - Typical Problems - Higher Difficulty Problems Stacks and Queues - Typical Problems - Numerical Applications Stacks and Queues - Typical Problems - Problem Set Stacks and Queues - Typical Problems - Real World Applications Trees and Graphs Trees and Graphs - Advanced Concepts Trees and Graphs - Applications Trees and Graphs - Applications - Advanced Concepts Trees and Graphs - Applications - Applications Trees and Graphs - Applications - Case Studies Trees and Graphs - Applications - Competitive Exam Level Trees and Graphs - Applications - Higher Difficulty Problems Trees and Graphs - Applications - Numerical Applications Trees and Graphs - Applications - Problem Set Trees and Graphs - Applications - Real World Applications Trees and Graphs - Case Studies Trees and Graphs - Competitive Exam Level Trees and Graphs - Complexity Analysis Trees and Graphs - Complexity Analysis - Advanced Concepts Trees and Graphs - Complexity Analysis - Applications Trees and Graphs - Complexity Analysis - Case Studies Trees and Graphs - Complexity Analysis - Competitive Exam Level Trees and Graphs - Complexity Analysis - Higher Difficulty Problems Trees and Graphs - Complexity Analysis - Numerical Applications Trees and Graphs - Complexity Analysis - Problem Set Trees and Graphs - Complexity Analysis - Real World Applications Trees and Graphs - Higher Difficulty Problems Trees and Graphs - Implementations in C++ Trees and Graphs - Implementations in C++ - Advanced Concepts Trees and Graphs - Implementations in C++ - Applications Trees and Graphs - Implementations in C++ - Case Studies Trees and Graphs - Implementations in C++ - Competitive Exam Level Trees and Graphs - Implementations in C++ - Higher Difficulty Problems Trees and Graphs - Implementations in C++ - Numerical Applications Trees and Graphs - Implementations in C++ - Problem Set Trees and Graphs - Implementations in C++ - Real World Applications Trees and Graphs - Implementations in Python Trees and Graphs - Implementations in Python - Advanced Concepts Trees and Graphs - Implementations in Python - Applications Trees and Graphs - Implementations in Python - Case Studies Trees and Graphs - Implementations in Python - Competitive Exam Level Trees and Graphs - Implementations in Python - Higher Difficulty Problems Trees and Graphs - Implementations in Python - Numerical Applications Trees and Graphs - Implementations in Python - Problem Set Trees and Graphs - Implementations in Python - Real World Applications Trees and Graphs - Numerical Applications Trees and Graphs - Problem Set Trees and Graphs - Real World Applications Trees and Graphs - Typical Problems Trees and Graphs - Typical Problems - Advanced Concepts Trees and Graphs - Typical Problems - Applications Trees and Graphs - Typical Problems - Case Studies Trees and Graphs - Typical Problems - Competitive Exam Level Trees and Graphs - Typical Problems - Higher Difficulty Problems Trees and Graphs - Typical Problems - Numerical Applications Trees and Graphs - Typical Problems - Problem Set Trees and Graphs - Typical Problems - Real World Applications
Q. Which of the following is NOT a limitation of Dijkstra's algorithm?
  • A. It cannot handle negative weight edges
  • B. It is not suitable for dense graphs
  • C. It finds the shortest path from a single source
  • D. It can be inefficient for large graphs
Q. Which of the following is NOT a property of a binary search tree?
  • A. Left child < parent
  • B. Right child > parent
  • C. All nodes are unique
  • D. All nodes are at the same level
Q. Which of the following is NOT a property of a binary tree?
  • A. Each node has at most two children
  • B. The left child is always less than the parent
  • C. The right child is always greater than the parent
  • D. It can be empty
Q. Which of the following is NOT a property of a Red-Black tree?
  • A. Every node is either red or black.
  • B. The root is always red.
  • C. Red nodes cannot have red children.
  • D. Every path from a node to its descendant leaves must have the same number of black nodes.
Q. Which of the following is NOT a property of AVL trees?
  • A. The heights of two child subtrees of any node differ by at most one
  • B. Every node is colored either red or black
  • C. In-order traversal yields sorted order
  • D. The tree is a binary search tree
Q. Which of the following is NOT a property of Red-Black trees?
  • A. Every node is either red or black
  • B. The root is always black
  • C. All leaves are red
  • D. Every path from a node to its descendant leaves has the same number of black nodes
Q. Which of the following is NOT a real-world application of balanced trees?
  • A. Memory management
  • B. Network routing tables
  • C. Web page ranking
  • D. Data compression algorithms
Q. Which of the following is NOT a real-world application of shortest path algorithms?
  • A. Network routing
  • B. Urban traffic management
  • C. Social network analysis
  • D. Sorting data in a database
Q. Which of the following is NOT a requirement for binary search?
  • A. The dataset must be sorted
  • B. The dataset must be in an array format
  • C. The dataset must allow random access
  • D. The dataset must be of finite size
Q. Which of the following is NOT a step in Dijkstra's algorithm?
  • A. Initialize distances
  • B. Select the node with the smallest distance
  • C. Update distances of adjacent nodes
  • D. Sort the entire graph
Q. Which of the following is NOT a type of binary tree traversal?
  • A. In-order
  • B. Pre-order
  • C. Post-order
  • D. Cross-order
Q. Which of the following is NOT a type of binary tree?
  • A. Full Binary Tree
  • B. Complete Binary Tree
  • C. Balanced Binary Tree
  • D. Circular Binary Tree
Q. Which of the following is NOT a type of sorting algorithm?
  • A. Quick Sort
  • B. Merge Sort
  • C. Heap Sort
  • D. Stack Sort
Q. Which of the following is NOT a typical application of arrays?
  • A. Storing a list of student grades
  • B. Implementing a priority queue
  • C. Representing a chessboard
  • D. Storing a collection of images
Q. Which of the following is NOT a typical application of Dijkstra's algorithm?
  • A. GPS navigation systems
  • B. Network routing protocols
  • C. Finding the maximum element in an array
  • D. Flight scheduling
Q. Which of the following is NOT a typical application of dynamic programming?
  • A. Matrix chain multiplication
  • B. Finding the maximum subarray sum
  • C. Depth-first search in graphs
  • D. Edit distance calculation
Q. Which of the following is NOT a typical application of stacks?
  • A. Function call management
  • B. Expression evaluation
  • C. Backtracking algorithms
  • D. Breadth-first search
Q. Which of the following is NOT a typical dynamic programming problem?
  • A. Longest Common Subsequence
  • B. Matrix Chain Multiplication
  • C. Depth First Search
  • D. Coin Change Problem
Q. Which of the following is NOT a typical problem solved by dynamic programming?
  • A. Traveling Salesman Problem
  • B. Matrix Chain Multiplication
  • C. Depth First Search
  • D. Rod Cutting Problem
Q. Which of the following is NOT a valid application of binary trees?
  • A. Expression parsing
  • B. Priority queues
  • C. Database indexing
  • D. Sorting algorithms
Q. Which of the following is NOT a valid application of Dijkstra's algorithm?
  • A. Finding the shortest path in a road network
  • B. Finding the shortest path in a weighted graph
  • C. Finding the minimum spanning tree
  • D. Finding the shortest path in a communication network
Q. Which of the following is NOT a valid binary tree traversal method?
  • A. In-order
  • B. Pre-order
  • C. Post-order
  • D. Side-order
Q. Which of the following is NOT a valid implementation of Dijkstra's algorithm?
  • A. Using an adjacency matrix.
  • B. Using an adjacency list with a binary heap.
  • C. Using a linked list for the priority queue.
  • D. Using a Fibonacci heap.
Q. Which of the following is NOT a valid way to implement a binary tree in C++?
  • A. Using a struct with pointers
  • B. Using an array
  • C. Using a linked list
  • D. Using a vector
Q. Which of the following is NOT a valid way to implement a binary tree in Python?
  • A. Using a class for nodes
  • B. Using a list to store values
  • C. Using a dictionary to map parent-child relationships
  • D. Using a set to store unique values
Q. Which of the following is NOT an application of DFS?
  • A. Topological sorting
  • B. Finding strongly connected components
  • C. Finding the shortest path
  • D. Solving puzzles like mazes
Q. Which of the following is NOT an application of Dijkstra's algorithm?
  • A. GPS navigation systems
  • B. Network routing protocols
  • C. Finding the minimum spanning tree
  • D. Robot path planning
Q. Which of the following is true about a binary search tree (BST)?
  • A. Inorder traversal gives sorted order
  • B. Preorder traversal gives sorted order
  • C. Postorder traversal gives sorted order
  • D. Level order traversal gives sorted order
Q. Which of the following is true about a binary search tree?
  • A. All nodes have at most two children.
  • B. The left child is always greater than the parent.
  • C. The right child is always less than the parent.
  • D. The left child is always less than the parent.
Q. Which of the following is true about a circular linked list?
  • A. It has a null reference
  • B. It can be traversed in one direction only
  • C. It can be traversed in both directions
  • D. The last node points to the first node
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