DSA Sheet – Most Important Interview Questions (FAANG + Top Companies) | ExpertFunda
DSA Interview Preparation Sheet
A structured roadmap for software engineers preparing for technical interviews at top product-based companies.
Objective
Build strong problem-solving skills, master core patterns, and confidently solve medium-to-hard interview problems within 30–45 days.
Overview
| Problems | Core Domains | Difficulty |
|---|---|---|
| 150+ | Arrays, Trees, Graphs, Dynamic Programming, Greedy | Easy → Hard |
Execution Strategy
- Allocate 2–3 hours of focused practice daily
- Prioritize pattern recognition over brute-force solving
- Revisit important problems (spaced repetition)
- Write clean and optimized code
DSA Roadmap
Follow the sequence below for best results.
Arrays (Day 1–5)
- Day 1 → Start Practice
- Day 2 → Start Practice
- Day 3 → Start Practice
- Day 4 → Start Practice
- Day 5 → Start Practice
Strings (Day 6–7)
- Day 6 → Start Practice
- Day 7 → Start Practice
Binary Search (Day 8)
- Day 8 → Start Practice
Recursion & Backtracking (Day 9–10)
- Day 9 → Start Practice
- Day 10 → Start Practice
Linked List (Day 11–12)
- Day 11 → Start Practice
- Day 12 → Start Practice
Stack & Queue (Day 13–15)
- Day 13 → Start Practice
- Day 14 → Start Practice
- Day 15 → Start Practice
Binary Trees (Day 16–19)
- Day 16 → Start Practice
- Day 17 → Start Practice
- Day 18 → Start Practice
- Day 19 → Start Practice
Binary Search Tree (Day 20–22)
- Day 20 → Start Practice
- Day 21 → Start Practice
- Day 22 → Start Practice
Heaps (Day 23)
- Day 23 → Start Practice
Tries (Day 24)
- Day 24 → Start Practice
Graphs (Day 25–28)
- Day 25 → Start Practice
- Day 26 → Start Practice
- Day 27 → Start Practice
- Day 28 → Start Practice
Dynamic Programming (Day 29–32)
- Day 29 → Start Practice
- Day 30 → Start Practice
- Day 31 → Start Practice
- Day 32 → Start Practice
Greedy (Day 33)
- Day 33 → Start Practice
Miscellaneous (Day 34)
- Day 34 → Start Practice
Expected Outcomes
- Solve medium-level problems confidently
- Identify patterns quickly during interviews
- Optimize solutions with proper complexity analysis
- Write clean, interview-ready code