Computer Science problems in .NET.

Problem areas

• Fast Fourier Transform
• Sliding Window and Two Pointer
• Greedy (Mostly Sorting)
• Binary Search on Answer
• All Combinations/Permutations/Ways
• K Smallest / K Largest → Heaps
• Prefix/Suffix/Word Search → Tries
• Graph - DFS / BFS
• Topological Sort
• Bitwise XOR
• Tree - DFS/BFS
• Slow and Fast Pointers - LinkedList
• Parenthesis Problems - Stack
• DP - Knapsack Problem

Interview Timeline:

✅Build a strong foundation (WEEKS 1-4)

🎯 Focus on the most frequently asked topics:

• Arrays: Prefix sum, sliding window problems.
• Strings: Two-pointer technique, pattern matching.
• Linked Lists: Reversal, cycle detection.
• Stacks/Queues: Monotonic stacks, bracket problems. 🎯 Resources:
• Neetcode 150 for a structured problem set.
• Cracking the Coding Interview: Chapters 1-4 for basics.
• Take U Forward (YouTube): Great explanation for each video.
• GFG: Topic-wise problems with solutions.

✅Practice Problems Strategically (WEEKS 5-12)

🎯 Tackle problems in three stages:

• Stage 1: Solve 50 easy problems to get comfortable.
• Stage 2: Solve 75 medium problems, focusing on optimization.
• Stage 3: Solve 15 hard problems if targeting FAANG.

🎯 Platforms to Practice:

• LeetCode: Sort by difficulty or tags (arrays, DP). and contests
• HackerRank: For warm-ups and hirimg contests.

✅ Master Core Algorithms and Data Structures (WEEKS 13-16)

🎯Key Focus Areas:

• Binary Search: Search in rotated arrays, peak elements.
• Recursion and Backtracking: Subsets, permutations, Sudoku solver.
• Dynamic Programming:
• Classic problems like Fibonacci, Knapsack, LIS.
• Understand bottom-up and top-down approaches.
• Trees and Graphs:
• BFS/DFS traversal, shortest path (Dijkstra).

🎯 Resources:

• Neetcode Playlists: Trees, DP, and Graphs.
• Tushar Roy YouTube Channel: Algorithm deep dives.
• LeetCode Discussion Forums: Optimized solutions and hints.

✅ Learn System Design Basics (WEEKS 17-20)

🎯 What to Focus On:

• Scalability: Load balancing, horizontal scaling.
• Caching: Strategies like LRU cache.
• Databases: SQL VS. NOSQL, partitioning, sharding.
• Design Patterns: Singleton, Observer, Factory.

🎯 Resources:

• System Design Primer (GitHub): Beginner to advanced.
• Grokking the System Design Interview: Simplified concepts.
• Designing Data-Intensive Applications: Real-world system insights.

✅ Mock Interviews and Communication (WEEKS 21-24)

🎯 What to Do:

• Pair up with peers or mentors for mock interviews.

🎯 Use platforms:

• Pramp: Peer-to-peer interviews.
• InterviewBit: Mock interviews with industry experts.
• Record yourself solving problems and analyze

✅ Behavioral Questions (ONGOING)

🎯 What to Expect:

• Questions around teamwork, challenges, and problem-solving.
• Example:
• Tell me about a time you resolved a conflict in a team.
• How do you prioritize tasks under tight deadlines?

🎯 How to Prepare:

• Use the STAR method: Situation, Task, Action, Result.
• Focus on stories that highlight leadership, impact, and learning.
• Mock practice with peers or record yourself.

🎯 Resources:

• Big Interview (Behavioral Prep): Comprehensive practice.
• Google common behavioral interview questions.