Which of the following situations is MOST likely to benefit from using a priority queue?
Storing a collection of sorted integers
Implementing a Last-In-First-Out (LIFO) data structure
Managing tasks based on their urgency level
Performing a breadth-first search in a graph
How can you prevent a queue implemented using a linked list from encountering an overflow condition?
Use a fixed-size array instead of a linked list
Linked list implementation inherently prevents overflow
Use a circular linked list
Implement a check for available memory before each enqueue operation
How does a circular queue determine if it is full?
A separate variable keeps track of the number of elements
Front pointer is one position behind the rear pointer (considering wrapping)
Rear pointer reaches the end of the array
Front pointer equals rear pointer
In a circular queue implemented using an array of size 5, if the front is at index 3 and the rear is at index 1, how many elements are present in the queue?
3
2
1
4
In the context of Breadth-First Search (BFS), how does a queue help explore a graph?
It facilitates visiting all neighbors of a node before moving to the next level.
It stores the path from the source node to the current node.
It ensures that nodes are visited in a depth-first manner.
It maintains a list of visited nodes to prevent cycles.
In a scenario simulating a print queue, where print jobs with higher priority should be executed first, which queue implementation is most suitable?
Priority queue
Deque (Double-ended queue)
Simple queue
Circular queue
What is the key advantage of using a linked list implementation for a queue over an array-based implementation?
Dynamic resizing to prevent overflow
Easier to implement
Faster enqueue and dequeue operations
Lower memory usage
Which of the following data structures can be efficiently used to implement a priority queue?
Hash Table
Binary Heap
Doubly Linked List
Binary Search Tree
What is the time complexity of inserting an element into a priority queue implemented using a binary heap (in the average case)?
O(n)
O(log n)
O(1)
O(n log n)
Which of the following operations is NOT efficiently supported by a standard queue data structure?
Enqueue at the rear
Dequeue from the front
Get the front element
Search for a specific element