Questions
5 of 59
1What is a Graph? Define Vertex, Edge, Degree.
2What is the difference between Directed and Undirected Graphs?
3What is a Weighted Graph?
4What is a Cyclic vs Acyclic Graph?
5What is the difference between a Tree and a Graph?
6Explain Adjacency Matrix. What are its pros and cons?
7Explain Adjacency List. What are its pros and cons?
8Which representation is better for Sparse vs Dense graphs?
9Explain Breadth-First Search (BFS). What data structure does it use?
10Explain Depth-First Search (DFS). What data structure does it use?
11What is the time complexity of BFS and DFS?
12What is Topological Sorting? Which algorithm is used?
13How do you detect a cycle in a Directed Graph?
14How do you detect a cycle in an Undirected Graph?
15Explain Dijkstra's Algorithm. When does it fail?
16Explain Bellman-Ford Algorithm. Why is it slower than Dijkstra?
17What is the difference between Dijkstra and A* (A-star)?
18What is a Minimum Spanning Tree (MST)?
19Explain Kruskal's Algorithm. Which data structure is crucial for it?
20Explain Prim's Algorithm.
21What is the difference between Kruskal's and Prim's? When is one preferred?
22What is Union-Find (Disjoint Set Union)? Explain Path Compression and Union by Rank.
23What is a Bipartite Graph? How do you check for it?
24How do you find the shortest path in an unweighted graph?
25Explain Strongly Connected Components (Kosaraju/Tarjan).
26What is a Directed Acyclic Graph (DAG)? Why are they important in build systems?
27How do you solve a Maze using Graph algorithms?
28Explain Floyd-Warshall Algorithm (All Pairs Shortest Path).
29How do you detect a Deadlock using a Graph?
30What is the difference between Linear Search and Binary Search?
31What is the precondition for Binary Search?
32Write down the time complexities of Bubble, Selection, Insertion Sort.
33Why is Insertion Sort preferred for small or nearly sorted arrays?
34Explain Merge Sort. What is its time and space complexity?
35Explain Quick Sort. What is its worst-case complexity? How do you avoid it?
36Compare Merge Sort vs Quick Sort. When do you choose which?
37What is Heap Sort? How does it work?
38Is Heap Sort stable? Is Merge Sort stable?
39What is Counting Sort? What are its limitations?
40What is Radix Sort? How does it handle strings?
41What is the fastest possible time complexity for a comparison-based sort? Why?
42What is the difference between Internal and External Sorting?
43How do you find the k-th largest element in an array?
44How do you find the median of a stream of numbers?
45What is a Bucket Sort? When is it effective?
46Explain the concept of Stability in sorting. Why does it matter for multi-key sorting?
47What is a Persistent Data Structure?
48What is a Treap? How does it combine BST and Heap properties?
49What is a Bloom Filter? How do you calculate the False Positive rate?
50What is an LRU Cache? How do you implement it using a Hash Map and Doubly Linked List?
51What is an LFU Cache? How is it different from LRU?
52What is a Suffix Tree/Array? What string problems does it solve?
53What is a Van Emde Boas tree?
54How do you design a Data Structure that supports insert, delete, search, and getRandom in O(1)?
55What is the Median of Medians algorithm? Why is it better than random pivot selection?
56Explain the concept of Cache Oblivious algorithms.
57What is the difference between a Binary Heap and a Fibonacci Heap? Why is Fibonacci Heap theoretically faster for Dijkstra's?
58How are Data Structures used in Database Indexing? (B+ Trees, Hash Indexes)
59How does the Garbage Collector interact with data structures? (Weak references, Gen0/Gen1/Gen2)
05 / 59

What is the difference between a Tree and a Graph?

Difficulty: 2/10
hierarchy vs network, cycles, traversal

Tree vs Graph

A tree is a special type of connected acyclic graph. In an undirected tree, there is exactly one simple path between every pair of vertices and n vertices have n-1 edges. A general graph may contain cycles, multiple connected components, and arbitrary relationships.

javascript
  1. 1

    Every tree is a graph, but not every graph is a tree.

  2. 2

    Trees are connected.

  3. 3

    Undirected trees are acyclic.

  4. 4

    Graphs may be directed or undirected.

  5. 5

    Graphs may contain cycles and disconnected components.

Scenario Questions

0-2 years experience

  1. 1We need to store a company's org chart where each employee has exactly one manager. Would you model this as a tree or a graph, and why?
  2. 2If you have a binary heap implementation and you accidentally add an edge that creates a cycle, what issues would arise during heap operations?

2-5 years experience

  1. 1Our feature builds a dependency resolver that must detect circular dependencies. How would you use graph vs tree concepts to implement this, and what pitfalls might cause it to break?
  2. 2We migrated a file system hierarchy from a tree representation to a graph to support hard links. What changes in traversal algorithms and edge cases do you need to consider?

5-8 years experience

  1. 1Design a service that stores and queries hierarchical categories but also allows cross‑category relationships (e.g., product recommendations). How would you decide when to use a tree structure versus a general graph, and what performance trade‑offs does each bring at scale?
  2. 2Our recommendation engine currently uses a tree for user interests, but we see users with multiple overlapping interests causing duplication. How would you refactor the data model to a graph, and what impact does that have on query latency and consistency?

8+ years experience

  1. 1Across multiple teams we have legacy data stored as adjacency lists for a graph, but a new analytics platform expects a tree‑like hierarchy. How would you plan a migration strategy that minimizes downtime and ensures both systems can coexist during the transition?
  2. 2When building a global permission system, you must decide between a tree (role inheritance) and a directed acyclic graph (multiple inheritance). What architectural considerations, such as security audits and policy evaluation performance, drive your choice, and how would you future‑proof the design?

Follow-up Questions

  • Can you give an example where treating a graph as a tree would cause a bug?
  • How does the presence of cycles change the way you implement depth‑first search?
  • What storage representations differ between trees and general graphs?
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