Imagine you're designing a system where multiple tasks need to be executed concurrently with varying levels of urgency. How would you design a data structure to manage these tasks efficiently?
- Binary Search Tree
- Doubly Linked List
- Hash Table
- Priority Queue
A Priority Queue is the most efficient data structure for managing tasks with varying levels of urgency in a concurrent execution system. It ensures that tasks are executed based on their priority levels, allowing higher priority tasks to be processed before lower priority ones. This is crucial for maintaining system responsiveness and meeting urgent task requirements promptly. Binary Search Trees, Hash Tables, and Doubly Linked Lists are not specifically designed for priority-based task management and may not offer the same level of efficiency and responsiveness as a Priority Queue.
Loading...
Related Quiz
- What is the purpose of a circular queue?
- _______ is a technique used in RESTful APIs to combine multiple requests into a single request.
- Explain the concept of prototypal inheritance in JavaScript.
- Your team needs to revert a recent commit due to a critical bug. Explain the steps you would take to revert the commit safely using Git.
- How does a breadth-first search (BFS) differ from a depth-first search (DFS) in terms of traversal order in graphs?