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. In a binary tree, what does it mean if a node has two children?
  • A. It is a leaf node
  • B. It is a full node
  • C. It is a parent node
  • D. It is a root node
Q. In a binary tree, what does the term 'height' refer to?
  • A. Number of nodes
  • B. Number of edges
  • C. Maximum depth of a node
  • D. Minimum depth of a node
Q. In a binary tree, what does the term 'leaf node' refer to?
  • A. A node with two children
  • B. A node with one child
  • C. A node with no children
  • D. A node that is the root
Q. In a binary tree, what is the height of a tree with only one node?
  • A. 0
  • B. 1
  • C. 2
  • D. Undefined
Q. In a binary tree, what is the in-order traversal of the nodes?
  • A. Visit left subtree, root, right subtree
  • B. Visit root, left subtree, right subtree
  • C. Visit left subtree, right subtree, root
  • D. Visit right subtree, root, left subtree
Q. In a binary tree, what is the in-order traversal of the tree with nodes 1, 2, 3?
  • A. [1, 2, 3]
  • B. [2, 1, 3]
  • C. [1, 3, 2]
  • D. [3, 2, 1]
Q. In a binary tree, what is the in-order traversal of the tree with nodes A, B, C, D arranged as follows: A is the root, B is the left child of A, and C is the right child of A, with D as the left child of C?
  • A. A, B, C, D
  • B. B, A, D, C
  • C. B, A, C, D
  • D. B, D, A, C
Q. In a binary tree, what is the in-order traversal of the tree with nodes A, B, C?
  • A. A, B, C
  • B. B, A, C
  • C. B, C, A
  • D. C, B, A
Q. In a binary tree, what is the in-order traversal of the 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. In a binary tree, what is the maximum height of a tree with n nodes?
  • A. n
  • B. n/2
  • C. log n
  • D. n-1
Q. In a binary tree, what is the maximum number of children a node can have?
  • A. One
  • B. Two
  • C. Three
  • D. Unlimited
Q. In a binary tree, what is the maximum number of leaf nodes possible?
  • A. n
  • B. n/2
  • C. 2^h
  • D. 2^(h+1) - 1
Q. In a binary tree, what is the maximum number of leaf nodes?
  • A. n
  • B. n/2
  • C. 2^(h-1)
  • D. 2^h
Q. In a binary tree, what is the maximum number of nodes at depth d?
  • A. d
  • B. 2^d
  • C. 2^(d+1) - 1
  • D. d^2
Q. In a binary tree, what is the maximum number of nodes at level 'h'?
  • A. h
  • B. 2^h
  • C. 2^(h+1)-1
  • D. h^2
Q. In a binary tree, what is the maximum number of nodes at level 'l'?
  • A. 2^l
  • B. l^2
  • C. l
  • D. 2^(l+1)
Q. In a binary tree, what is the maximum number of nodes at level k?
  • A. k
  • B. 2^k
  • C. 2^(k+1)
  • D. k^2
Q. In a binary tree, what is the minimum number of nodes required to have a height of h?
  • A. h
  • B. h + 1
  • C. 2^h
  • D. 2^(h+1) - 1
Q. In a binary tree, what is the time complexity of finding the height of the tree?
  • A. O(n)
  • B. O(log n)
  • C. O(n log n)
  • D. O(1)
Q. In a binary tree, what is the time complexity of searching for an element in the worst case?
  • A. O(log n)
  • B. O(n)
  • C. O(n log n)
  • D. O(1)
Q. In a binary tree, what is the time complexity of traversing all nodes using in-order traversal?
  • A. O(1)
  • B. O(n)
  • C. O(log n)
  • D. O(n log n)
Q. In a binary tree, which traversal method is most similar to DFS?
  • A. Level-order traversal
  • B. In-order traversal
  • C. Breadth-first traversal
  • D. Random traversal
Q. In a case study involving a city map, which application of Dijkstra's algorithm is most relevant?
  • A. Finding the fastest route between two locations
  • B. Calculating the total distance of all roads
  • C. Determining the longest path in the city
  • D. Finding all intersections in the map
Q. In a circular linked list, what is the main characteristic?
  • A. Last node points to null
  • B. First node points to last node
  • C. All nodes are connected in a circle
  • D. None of the above
Q. In a circular queue implemented using an array, what is the time complexity of the enqueue operation?
  • A. O(1)
  • B. O(n)
  • C. O(log n)
  • D. O(n^2)
Q. In a circular queue, what condition indicates that the queue is full?
  • A. front == rear
  • B. rear == (front + 1) % size
  • C. front == (rear + 1) % size
  • D. rear == front
Q. In a circular queue, what happens when the rear pointer reaches the end of the array?
  • A. It resets to the beginning of the array
  • B. It stops accepting new elements
  • C. It throws an error
  • D. It moves to the next available position
Q. In a complete binary tree, how many nodes are there at height 'h'?
  • A. h + 1
  • B. 2^h
  • C. 2^(h+1) - 1
  • D. h^2
Q. In a complete binary tree, how many nodes are there at level k?
  • A. 2^k
  • B. 2^(k+1)
  • C. 2^(k-1)
  • D. k^2
Q. In a complete binary tree, how many nodes are there at the last level if the total number of levels is 'h'?
  • A. 2^(h-1)
  • B. 2^h
  • C. 2^(h+1)
  • D. 2^(h-1) - 1
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