Questions
11 of 26
1What is a Tree? Define Node, Root, Leaf, Edge, Height, Depth.
2What is a Binary Tree?
3What is a Binary Search Tree (BST)? What are its properties?
4What is the difference between a Binary Tree and a Binary Search Tree?
5Explain Tree Traversals: Inorder, Preorder, Postorder, Level Order.
6How do you implement Inorder traversal iteratively? (Without recursion)
7How do you find the Lowest Common Ancestor (LCA) of two nodes in a BST?
8How do you validate if a given Tree is a valid BST?
9What is a Balanced Tree? Why do we need balance?
10What is a Complete Binary Tree? A Full Binary Tree? A Perfect Binary Tree?
11What is a Heap? (Min-Heap and Max-Heap)
12How is a Heap implemented using an Array? (Parent/Child index math)
13What is the time complexity of insertion and deletion in a Heap? Why?
14What is Heapify? Explain the process.
15What is a Trie (Prefix Tree)? When is it used?
16How does a Trie compare to a Hash Table for string storage?
17What is an AVL Tree? What is a Red-Black Tree? What is the difference?
18Why do databases prefer B-Trees/B+ Trees over Binary Search Trees?
19How do you serialize and deserialize a Binary Tree?
20What is a Segment Tree? What problems does it solve?
21What is a Fenwick Tree (Binary Indexed Tree)?
22What is the difference between a B-Tree and a B+ Tree? Why are B+ Trees better for disk access?
23Explain the concept of Tree Rotation.
24What is a Splay Tree? When would you use it?
25How do you find the diameter of a Binary Tree?
26How do you check if a tree is symmetric (Mirror image)?
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What is a Heap? (Min-Heap and Max-Heap)

Difficulty: 3/10
heap operations, priority queue, array representation

Heap Data Structure

A heap is a complete binary tree satisfying the heap-order property. In a min-heap, every parent is less than or equal to its children, so the minimum element is at the root. In a max-heap, every parent is greater than or equal to its children, so the maximum is at the root. Heaps are commonly used to implement priority queues.

javascript
  1. 1

    Heap is structurally a complete binary tree.

  2. 2

    Min-heap exposes the minimum at the root.

  3. 3

    Max-heap exposes the maximum at the root.

  4. 4

    Insertion and deletion of the root take O(log n).

  5. 5

    Peek at the root takes O(1).

  6. 6

    Heaps are widely used in priority queues and scheduling.

Scenario Questions

0-2 years experience

  1. 1Suppose you need to implement a feature that always shows the next upcoming event in a calendar app. How would you use a min‑heap to retrieve the soonest event, and what is the time complexity of inserting a new event?
  2. 2If you have an array representing a max‑heap and you accidentally swap two elements, how does that affect the heap property and what steps would you take to restore it?
  3. 3When you pop the top element from a min‑heap, what changes occur in the underlying array representation?

2-5 years experience

  1. 1Our job scheduler stopped picking the highest‑priority jobs after a recent refactor. Walk me through how you would debug the issue assuming the scheduler uses a max‑heap.
  2. 2We need to support both min‑heap and max‑heap behavior in a single priority‑queue library. What design choices would you make, and how would you expose the API to keep the implementation efficient?
  3. 3During a load test, inserting one million tasks into a heap took longer than expected. What factors could cause this slowdown and how would you profile or optimize it?

5-8 years experience

  1. 1Design a real‑time leaderboard that must return the top‑K players quickly while supporting frequent score updates. How would you use a heap, and what trade‑offs does it have versus other structures?
  2. 2Our distributed task queue stores pending tasks in a heap persisted to disk. Explain how you would ensure heap consistency across node failures and what recovery strategy you’d employ.
  3. 3When scaling a priority‑queue service to millions of concurrent users, what bottlenecks arise from using a single in‑memory heap, and how would you redesign the system to maintain low latency?

8+ years experience

  1. 1We are migrating a legacy C++ priority‑queue implementation that uses a binary heap to a new microservice architecture written in Go. What migration plan would you propose to minimize downtime and ensure correctness across services?
  2. 2Across several teams, different services have adopted custom heap variants like pairing or Fibonacci heaps. How would you evaluate whether to standardize on one implementation, and what criteria would guide that decision?
  3. 3Our organization wants to expose a heap‑based priority API to external partners while guaranteeing O(log n) performance and safe concurrent access. Describe the architectural considerations and patterns you’d employ.

Follow-up Questions

  • Can you walk me through the heapify process after removal?
  • What edge cases do you consider when the heap is empty or has one element?
  • How would you verify that your heap maintains the correct ordering after a series of operations?
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