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 a valid operation for a queue?
  • A. Push
  • B. Pop
  • C. Enqueue
  • D. Dequeue
Q. Which of the following is a valid operation for a stack?
  • A. Enqueue
  • B. Dequeue
  • C. Push
  • D. Insert
Q. Which of the following is a valid property of AVL trees?
  • A. The height difference between left and right subtrees can be at most 2.
  • B. Every node must be black.
  • C. The height difference between left and right subtrees can be at most 1.
  • D. All leaves are red.
Q. Which of the following is a valid property of Red-Black trees?
  • A. The height of the tree is always even
  • B. No two red nodes can be adjacent
  • C. All nodes must have two children
  • D. The root can be red
Q. Which of the following is a valid sequence of colors for a Red-Black tree?
  • A. Red, Red, Black
  • B. Black, Red, Black
  • C. Red, Black, Red
  • D. Black, Black, Red
Q. Which of the following is a valid use case for a stack?
  • A. Undo functionality in applications
  • B. Managing print jobs
  • C. Handling requests in a web server
  • D. All of the above
Q. Which of the following is a valid way to append an element to a linked list in Python?
  • A. list.append(value)
  • B. linked_list.add(value)
  • C. linked_list.append(value)
  • D. list.add(value)
Q. Which of the following is a valid way to implement a binary tree in C++?
  • A. Using an array
  • B. Using a linked list
  • C. Using a struct
  • D. All of the above
Q. Which of the following is a valid way to implement a binary tree in Python?
  • A. Using a list
  • B. Using a dictionary
  • C. Using a class
  • D. All of the above
Q. Which of the following is a valid way to implement a binary tree node in C++?
  • A. struct Node { int data; Node* left; Node* right; };
  • B. class Node { int data; Node left; Node right; };
  • C. struct Node { int data; Node left; Node right; };
  • D. class Node { public: int data; Node* left; Node* right; };
Q. Which of the following is a valid way to implement a binary tree node in Python?
  • A. class Node: def __init__(self, value): self.value = value
  • B. class Node: def __init__(self, value): self.value = value; self.left = None; self.right = None
  • C. class Node: def __init__(self): self.value = None
  • D. class Node: def __init__(self, value): self.left = None; self.right = None
Q. Which of the following is a valid way to represent a binary tree node in C++?
  • A. struct Node { int data; Node* left; Node* right; };
  • B. class Node { int data; Node* left; Node* right; };
  • C. struct Node { int data; Node left; Node right; };
  • D. class Node { int data; Node left; Node right; };
Q. Which of the following is an application of a queue?
  • A. Undo functionality in text editors
  • B. Breadth-first search in graphs
  • C. Expression evaluation
  • D. Memory management
Q. Which of the following is an application of Dijkstra's algorithm?
  • A. Finding the shortest route in GPS navigation
  • B. Sorting a list of numbers
  • C. Searching for an element in a binary search tree
  • D. Calculating the factorial of a number
Q. Which of the following is an application of queues?
  • A. Undo functionality in text editors
  • B. Breadth-first search in graphs
  • C. Expression evaluation
  • D. Memory management
Q. Which of the following is NOT a case study where Dijkstra's algorithm is commonly applied?
  • A. GPS navigation systems
  • B. Network routing protocols
  • C. Social network analysis
  • D. Flight scheduling systems
Q. Which of the following is NOT a characteristic of a binary search tree (BST)?
  • A. Left subtree contains only nodes with values less than the parent node.
  • B. Right subtree contains only nodes with values greater than the parent node.
  • C. Both subtrees must be binary trees.
  • D. All nodes must have two children.
Q. Which of the following is NOT a characteristic of a binary search tree?
  • A. Left subtree contains only nodes with values less than the root.
  • B. Right subtree contains only nodes with values greater than the root.
  • C. Both subtrees must be binary search trees.
  • D. All nodes must have two children.
Q. Which of the following is NOT a characteristic of a binary tree?
  • A. Each node has at most two children
  • B. It can be empty
  • C. All nodes have the same number of children
  • D. It has a root node
Q. Which of the following is NOT a characteristic of a stack?
  • A. LIFO order
  • B. Dynamic size
  • C. Random access
  • D. Push and pop operations
Q. Which of the following is NOT a characteristic of arrays?
  • A. Fixed size
  • B. Random access
  • C. Dynamic resizing
  • D. Contiguous memory allocation
Q. Which of the following is NOT a characteristic of AVL trees?
  • A. They are height-balanced
  • B. They can have at most one child
  • C. They require rotations to maintain balance
  • D. They can be used to implement priority queues
Q. Which of the following is NOT a characteristic of BFS?
  • A. Uses a queue
  • B. Finds the shortest path in unweighted graphs
  • C. Can be implemented using recursion
  • D. Explores all neighbors before going deeper
Q. Which of the following is NOT a characteristic of binary search?
  • A. It requires a sorted array
  • B. It can be implemented recursively
  • C. It can be implemented iteratively
  • D. It works on unsorted data
Q. Which of the following is NOT a characteristic of Depth-First Search?
  • A. Uses a stack
  • B. Can be implemented recursively
  • C. Finds the shortest path
  • D. Explores as far as possible along each branch
Q. Which of the following is NOT a characteristic of DFS?
  • A. Uses a stack data structure
  • B. Can be implemented recursively
  • C. Explores all neighbors before going deeper
  • D. Can find connected components
Q. Which of the following is NOT a characteristic of Dijkstra's algorithm?
  • A. It uses a greedy approach
  • B. It guarantees the shortest path
  • C. It can be used for negative weights
  • D. It requires a priority queue
Q. Which of the following is NOT a characteristic of dynamic programming?
  • A. Optimal substructure
  • B. Greedy choice property
  • C. Overlapping subproblems
  • D. Memoization
Q. Which of the following is NOT a characteristic of problems suitable for dynamic programming?
  • A. Optimal substructure
  • B. Overlapping subproblems
  • C. Greedy choice property
  • D. All of the above
Q. Which of the following is NOT a characteristic of Quick Sort?
  • A. In-place sorting
  • B. Recursive algorithm
  • C. Stable sorting
  • D. Divide-and-conquer
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