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𝗦𝘁𝗲𝗽𝘀 𝗧𝗼 𝗣𝗿𝗲𝗽𝗮𝗿𝗲 𝗙𝗼𝗿 𝗮 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 👉 𝗞𝗻𝗼𝘄 𝘁𝗵𝗲 𝗝𝗼𝗯: Review the job description. 👉 𝗕𝗮𝘀𝗶𝗰𝘀: Revise fundamental concepts. 👉 𝗖𝗼𝗱𝗲 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲: Solve coding problems. 👉 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀: Be ready to discuss past work. 👉 𝗠𝗼𝗰𝗸 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝘀: Practice with friends or online. 👉 𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻: Review basics if needed. 👉 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀: Prepare some for the interviewer. 👉 𝗥𝗲𝘀𝘁: Sleep well and stay calm. Remember, practice and confidence are the key! Good luck with your technical interview! 🌟 All the best 👍👍 Your one reaction is a motivational for us.❤️

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@codingresourcess DSA is really tough, but you don't seem to struggle?🤨 I get this question a lot. Here are some of the hardest questions you might face in an interview. Practice these using the 𝟯-𝟳-𝟭𝟱 𝗿𝘂𝗹𝗲: First solve the question, then note down the answer. After three days, try to remember the question from the answer and solve it again. Repeat the same after 7 and 15 days. This way, you'll solve the same question 4 times in 15 days, making it easier if you encounter it again. 𝟭. 𝗔𝗿𝗿𝗮𝘆𝘀 & 𝗦𝘁𝗿𝗶𝗻𝗴𝘀 - Minimum Window Substring - Trapping Rain Water - Largest Rectangle in Histogram 𝟮. 𝗟𝗶𝗻𝗸𝗲𝗱 𝗟𝗶𝘀𝘁𝘀 - Merge k Sorted Lists - Reverse Nodes in k-Group - LFU Cache 𝟯. 𝗧𝗿𝗲𝗲𝘀 - Binary Tree Maximum Path Sum - Serialize and Deserialize Binary Tree - Vertical Order Traversal of a Binary Tree 𝟰. 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 - Edit Distance - Burst Balloons - Shortest Common Supersequence 𝟱. 𝗚𝗿𝗮𝗽𝗵𝘀 - Alien Dictionary - Minimum Cost to Make at Least One Valid Path in a Grid - Swim in Rising Water 𝟲. 𝗥𝗲𝗰𝘂𝗿𝘀𝗶𝗼𝗻 & 𝗕𝗮𝗰𝗸𝘁𝗿𝗮𝗰𝗸𝗶𝗻𝗴 - N-Queens II - Sudoku Solver - Word Search II 𝟳. 𝗦𝗼𝗿𝘁𝗶𝗻𝗴 & 𝗦𝗲𝗮𝗿𝗰𝗵𝗶𝗻𝗴 - Count of Smaller Numbers After Self - Median of Two Sorted Arrays - Split Array Largest Sum 𝟴. 𝗗𝗲𝘀𝗶𝗴𝗻 - Design Search Autocomplete System - Design In-Memory File System - Design Excel Sum Formula 𝟵. 𝗚𝗿𝗲𝗲𝗱𝘆 - Minimum Number of Arrows to Burst Balloons - Candy - Patching Array 𝟭𝟬. 𝗕𝗶𝘁 𝗠𝗮𝗻𝗶𝗽𝘂𝗹𝗮𝘁𝗶𝗼𝗻 - Maximum Product of Word Lengths - Smallest Sufficient Team - Minimum Cost to Connect Two Groups of Points 𝟭𝟭. 𝗧𝘄𝗼 𝗣𝗼𝗶𝗻𝘁𝗲𝗿𝘀 - Minimum Window Subsequence - Minimum Operations to Make a Subsequence - Minimum Adjacent Swaps to Reach the Kth Smallest Number 𝟭𝟮. 𝗛𝗲𝗮𝗽 - Minimum Number of Refueling Stops - Sliding Window Median - Minimum Number of K Consecutive Bit Flips By following the 3-7-15 rule and practicing these tough questions regularly, you'll build strong problem-solving skills and be well-prepared for your interviews. Keep pushing yourself, and remember, consistency is key.

Is DSA important for interviews? Yes, DSA (Data Structures and Algorithms) is very important for interviews, especially for software engineering roles. I often get asked, What do I need to start learning DSA? Here's the roadmap for getting started with Data Structures and Algorithms (DSA): 𝗣𝗵𝗮𝘀𝗲 𝟭: 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 1. Introduction to DSA - Understand what DSA is and why it's important. - Overview of complexity analysis (Big O notation). 2. Complexity Analysis - Time Complexity - Space Complexity 3. Basic Data Structures - Arrays - Linked Lists - Stacks - Queues 4. Basic Algorithms - Sorting (Bubble Sort, Selection Sort, Insertion Sort) - Searching (Linear Search, Binary Search) 5. OOP (Object-Oriented Programming) 𝗣𝗵𝗮𝘀𝗲 𝟮: 𝗜𝗻𝘁𝗲𝗿𝗺𝗲𝗱𝗶𝗮𝘁𝗲 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀 1. Two Pointers Technique - Introduction and basic usage - Problems: Pair Sum, Triplets, Sorted Array Intersection etc.. 2. Sliding Window Technique - Introduction and basic usage - Problems: Maximum Sum Subarray, Longest Substring with K Distinct Characters, Minimum Window Substring etc.. 3. Line Sweep Algorithms - Introduction and basic usage - Problems: Meeting Rooms II, Skyline Problem 4. Recursion 5. Backtracking 6. Sorting Algorithms - Merge Sort - Quick Sort 7. Data Structures - Hash Tables - Trees (Binary Trees, Binary Search Trees) - Heaps 𝗣𝗵𝗮𝘀𝗲 𝟯: 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀 1. Graph Algorithms - Graph Representation (Adjacency List, Adjacency Matrix) - BFS (Breadth-First Search) - DFS (Depth-First Search) - Shortest Path Algorithms (Dijkstra's, Bellman-Ford) - Minimum Spanning Tree (Kruskal's, Prim's) 2. Dynamic Programming - Basic Problems (Fibonacci, Knapsack etc..) - Advanced Problems (Longest Increasing Subsea mice, Matrix Chain Subsequence, Multiplication etc..) 3. Advanced Trees - AVL Trees - Red-Black Trees - Segment Trees - Trie 𝗣𝗵𝗮𝘀𝗲 𝟰: 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗮𝗻𝗱 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 1. Competitive Programming Platforms: LeetCode, Codeforces, HackerRank, CodeChef Solve problems daily 2. Mock Interviews - Participate in mock interviews to simulate real interview scenarios. - DSA interviews assess your ability to break down complex problems into smaller steps. All the best 👍👍