Welcome to our Python DSA Quiz – Part 5! 🔥📊 This quiz is designed to challenge and strengthen your understanding of Graphs and Graph Algorithms. You’ll explore key topics such as Graph Representation, BFS & DFS traversal, Shortest Path Algorithms, and Topological Sorting. 🚀
Whether you’re preparing for coding interviews or simply looking to solidify your grasp of graph-based problem-solving, this quiz will help you assess your skills and gain deeper insights into how graphs power real-world applications like network routing, social media connections, and dependency resolution. 💡 Ready to test your knowledge? Let’s dive in! 🎯✅
Python DSA Quiz – Part 5
Python DSA Quiz – Part 5 Hints
| Question | Hint |
|---|---|
| 1. How are graphs typically represented in memory? | Think about adjacency structures—one is space-efficient, the other is easy for dense graphs. |
| 2. Space complexity of adjacency matrix? | The matrix representation stores connections for all possible edges, even if they don’t exist. |
| 3. What data structure is used in BFS? | BFS explores level by level, processing nodes in the order they are discovered. |
| 4. BFS is best suited for? | Consider how BFS finds paths by visiting nodes in increasing order of distance. |
| 5. Time complexity of BFS in adjacency list? | The algorithm must visit all vertices and process all edges. |
| 6. What data structure is used in DFS? | DFS goes deep first, so it needs a structure that supports LIFO order. |
| 7. DFS is best suited for? | DFS explores paths deeply, which helps in finding connected components and detecting cycles. |
| 8. Time complexity of DFS in adjacency list? | Similar to BFS, DFS must visit all nodes and traverse all edges. |
| 9. Dijkstra’s algorithm does not work correctly for? | Dijkstra assumes positive edge weights; negative weights can lead to incorrect results. |
| 10. Bellman-Ford algorithm is useful for? | Unlike Dijkstra, this algorithm can handle graphs with negative weight edges. |
| 11. Which graphs can be topologically sorted? | Sorting requires a specific kind of graph without cycles. |
| 12. Which algorithm is used for topological sorting? | One method repeatedly removes nodes with no incoming edges, the other uses DFS. |
| 13. Time complexity of Kahn’s Algorithm? | This algorithm processes each vertex and edge once, similar to BFS. |
| 14. What is the source of a graph in topological sorting? | In a sorted order, the starting node has no dependencies (incoming edges). |
| 15. Can a cyclic graph have a topological order? | A cycle means there’s no clear way to line up nodes without conflicts. |
| 16. Which algorithm finds Minimum Spanning Tree? | There are two famous algorithms for MST—one grows a tree, the other sorts edges first. |
| 17. Kruskal’s algorithm is best implemented using? | This algorithm processes edges one by one, needing an efficient way to manage disjoint sets. |
| 18. What is a bipartite graph? | This type of graph can be colored using two colors without adjacent nodes sharing the same color. |
| 19. Algorithm used for finding bridges in a graph? | This algorithm uses DFS and low-link values to detect edges that, if removed, would increase components. |
| 20. Floyd-Warshall algorithm solves? | This algorithm computes shortest paths between all pairs of nodes using dynamic programming. |
Let me know if you need any clarification or additional details!
Summary: Python DSA Quiz – Part 5
Thank you for completing our Python DSA Part 5 Quiz! 📊✅ Also, don’t miss to check the first Python DSA Quiz from our blog.
In this quiz, we explored fundamental and advanced concepts related to Graphs, including Graph Representation, BFS & DFS Traversals, Shortest Path Algorithms, and Topological Sorting. Understanding these topics is essential for tackling real-world problems such as network optimization, dependency resolution, and pathfinding. We hope this quiz helped solidify your grasp of graph-based problem-solving and enhanced your preparation for coding interviews. 🚀
Stay tuned for more quizzes where we’ll dive deeper into complex algorithms and data structures to further boost your Python skills. Don’t forget to subscribe to our YouTube channel for more MCQs, coding challenges, and in-depth tutorials! 🎯🔥
