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. What is the purpose of the 'visited' array in Dijkstra's algorithm?
  • A. To store the shortest path
  • B. To track the vertices that have been processed
  • C. To store the distances from the source
  • D. To hold the edges of the graph
Q. What is the result of a binary search if the array is empty?
  • A. Returns 0
  • B. Returns -1
  • C. Returns null
  • D. Returns an error
Q. What is the result of a level-order traversal of a binary tree?
  • A. Nodes are visited from top to bottom and left to right
  • B. Nodes are visited from bottom to top and right to left
  • C. Nodes are visited in sorted order
  • D. Nodes are visited in reverse order
Q. What is the result of a level-order traversal of the following binary tree: 1, 2, 3, 4, 5?
  • A. 1, 2, 3, 4, 5
  • B. 1, 3, 2, 5, 4
  • C. 2, 4, 3, 5, 1
  • D. 4, 5, 2, 3, 1
Q. What is the result of a level-order traversal on a binary tree with root 1, left child 2, and right child 3?
  • A. 1, 2, 3
  • B. 2, 1, 3
  • C. 1, 3, 2
  • D. 3, 2, 1
Q. What is the result of a level-order traversal on the binary tree with root 1, left child 2, and right child 3?
  • A. 1, 2, 3
  • B. 2, 1, 3
  • C. 3, 2, 1
  • D. 1, 3, 2
Q. What is the result of a post-order traversal of a binary tree?
  • A. Root, Left, Right
  • B. Left, Right, Root
  • C. Right, Left, Root
  • D. Left, Root, Right
Q. What is the result of a post-order traversal on a binary tree with nodes 1 (root), 2 (left), 3 (right)?
  • A. 1, 2, 3
  • B. 2, 3, 1
  • C. 3, 2, 1
  • D. 1, 3, 2
Q. What is the result of a post-order traversal on a binary tree with nodes 1, 2, and 3, where 1 is the root, 2 is the left child, and 3 is the right child?
  • A. 1, 2, 3
  • B. 2, 3, 1
  • C. 3, 2, 1
  • D. 1, 3, 2
Q. What is the result of a post-order traversal on a binary tree?
  • A. Root, Left, Right
  • B. Left, Right, Root
  • C. Right, Left, Root
  • D. Left, Root, Right
Q. What is the result of a post-order traversal on the following binary tree: A, B, C, D?
  • A. A B C D
  • B. D C B A
  • C. B D C A
  • D. C B D A
Q. What is the result of a postorder traversal on a binary tree?
  • A. Root, Left, Right
  • B. Left, Right, Root
  • C. Right, Left, Root
  • D. Left, Root, Right
Q. What is the result of a postorder traversal on the binary tree with root 1, left child 2, and right child 3?
  • A. 1, 2, 3
  • B. 2, 3, 1
  • C. 3, 2, 1
  • D. 1, 3, 2
Q. What is the result of a pre-order traversal of the binary tree with root 1, left child 2, and right child 3?
  • A. 1, 2, 3
  • B. 2, 1, 3
  • C. 3, 1, 2
  • D. 1, 3, 2
Q. What is the result of an in-order traversal of a binary search tree?
  • A. Nodes in random order
  • B. Nodes in descending order
  • C. Nodes in ascending order
  • D. Nodes in level order
Q. What is the result of an in-order traversal of the binary tree with root 1, left child 2, and right child 3?
  • A. 1, 2, 3
  • B. 2, 1, 3
  • C. 3, 1, 2
  • D. 1, 3, 2
Q. What is the result of an inorder traversal of a binary search tree?
  • A. Sorted order of elements
  • B. Reverse sorted order of elements
  • C. Random order of elements
  • D. Level order of elements
Q. What is the result of an inorder traversal of the binary tree with root 1, left child 2, and right child 3?
  • A. 1, 2, 3
  • B. 2, 1, 3
  • C. 3, 1, 2
  • D. 1, 3, 2
Q. What is the result of applying dynamic programming to the Coin Change problem?
  • A. Finding the minimum number of coins
  • B. Finding all possible combinations of coins
  • C. Finding the maximum value of coins
  • D. Finding the average value of coins
Q. What is the result of binary search if the array is empty?
  • A. Returns 0
  • B. Returns -1
  • C. Returns null
  • D. Throws an error
Q. What is the result of binary search if the target is less than the middle element?
  • A. Search the left half
  • B. Search the right half
  • C. Return the middle element
  • D. End the search
Q. What is the result of performing a binary search on the array [2, 4, 6, 8, 10] for the value 5?
  • A. 5
  • B. 4
  • C. 6
  • D. Not found
Q. What is the result of performing binary search on a sorted array for an element not present in the array?
  • A. The index of the closest element
  • B. The index of the first element
  • C. The index of the last element
  • D. An indication that the element is not found
Q. What is the result of performing binary search on an array with duplicate values?
  • A. First occurrence of the value
  • B. Last occurrence of the value
  • C. Any occurrence of the value
  • D. None of the above
Q. What is the result of popping an element from an empty stack?
  • A. The top element is returned
  • B. An error is thrown
  • C. The stack remains unchanged
  • D. The stack is cleared
Q. What is the result of the following binary search on the array [1, 2, 3, 4, 5] for target 3?
  • A. 0
  • B. 1
  • C. 2
  • D. 3
Q. What is the role of the 'visited' set in Dijkstra's algorithm?
  • A. To keep track of the nodes that have been processed
  • B. To store the shortest path distances
  • C. To maintain the priority queue
  • D. To count the number of edges
Q. What is the space complexity of a breadth-first traversal of a binary tree?
  • A. O(n)
  • B. O(log n)
  • C. O(1)
  • D. O(n log n)
Q. What is the space complexity of a linked list with n nodes?
  • A. O(1)
  • B. O(n)
  • C. O(n log n)
  • D. O(n^2)
Q. What is the space complexity of a linked list?
  • A. O(1)
  • B. O(n)
  • C. O(log n)
  • D. O(n^2)
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