Which of the following situations is MOST likely to benefit from using a priority queue?
Managing tasks based on their urgency level
Implementing a Last-In-First-Out (LIFO) data structure
Performing a breadth-first search in a graph
Storing a collection of sorted integers
How does a queue ensure that elements are processed in the order they were added?
By dynamically allocating memory for each element.
By using a Last-In, First-Out (LIFO) approach.
By using a First-In, First-Out (FIFO) approach.
By using a hash function to index elements.
In a priority queue implementation using a sorted array, what is the time complexity of the dequeue operation in the worst-case scenario?
O(n)
O(log n)
O(n log n)
O(1)
Which of the following data structures can be efficiently used to implement a priority queue?
Binary Search Tree
Hash Table
Binary Heap
Doubly Linked List
When implementing a circular queue, what happens when you try to enqueue an element into a full queue?
The queue dynamically resizes to accommodate the new element
The enqueue operation is blocked until space becomes available
The oldest element is overwritten to make space
An error is thrown, preventing the operation
You need to implement a queue using two stacks. What is the time complexity of the dequeue operation in the worst-case scenario?
In a circular queue implemented using an array, what is the purpose of the rear pointer?
To point to the element that was most recently enqueued.
To mark the beginning of the queue in the circular array.
To indicate the next available position for enqueuing an element.
To track the number of elements currently present in the queue.
Which real-world scenario is best represented using a priority queue?
Managing a print queue where documents are printed in the order they are received
Storing a history of visited web pages in a browser
Scheduling tasks in an operating system based on their priority levels
Maintaining a list of recently used applications
What is the key advantage of using a linked list implementation for a queue over an array-based implementation?
Faster enqueue and dequeue operations
Lower memory usage
Easier to implement
Dynamic resizing to prevent overflow
What is the time complexity of inserting an element into a priority queue implemented using a binary heap (in the average case)?