Trees & Graphs Tutorial 0/109 lessons ~6 min read Lesson 102
Trees & Graphs Interview Bank
trees graphs interview questions binary trees bst heaps tries dfs bfs shortest path dijkstra mst topological sort advanced graphs tree dp faang
Course progress0%
Focus
19 guided sections
Practice signal
Concept-first lesson
Career prep
Interview Q&A included
Introduction
This Trees & Graphs Interview Bank helps you revise the patterns interviewers ask most: traversal, shortest path, heaps, tries, topological sort, MST, advanced graph algorithms, tree DP, FAANG follow-ups, and system design connections.
Interactive Q&A bank
Trees & Graphs Interview Bank
180 curated questions · 12 topics · follow-ups and real interview insights
Interactive
BT
Binary Trees
Traversal, recursion, height, diameter, serialization and tree views.
Pattern recognition guide
- Recognize when Trees & Graphs Interview Bank appears from the wording: hierarchy, nearest, connected, dependency, route, prefix, or ordering.
- Draw a tiny input and label visited state, queue/stack, parent pointers, or distances.
- Choose the simplest correct pattern before optimizing.
Visual walkthrough
1Trees & Graphs Interview Bank pattern workflow
1 / 4Model
Convert problem text into nodes, edges, children, keys, or states.
Interview tips
- DFS is natural for exhaustively exploring paths, components, recursion, and backtracking.
- BFS is natural for shortest path in unweighted graphs and level-by-level expansion.
- Use a heap when the next best candidate must be selected repeatedly.
Common mistakes
- Marking visited too late in BFS and enqueueing duplicates.
- Forgetting disconnected components.
- Using Dijkstra with negative edges.
Interview Q&A
How do you choose DFS vs BFS?
Use DFS for depth/path/component exploration and BFS for nearest/shortest unweighted distance or level-order traversal.
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