Algorithms for System Design Interviews

🚀 Day 96 of 180 — Understanding the Technical Interview Process Today, I explored the core purpose and structure behind technical interviews — why they exist, what interviewers look for, and how candidates are truly evaluated. 💡 Key Insights 1️⃣ Why Technical Interviews Exist They assess how well a candidate can apply technical knowledge to solve real-world problems — not just theoretically but through practical reasoning, debugging, and writing optimized code. 2️⃣ Core Skills to Demonstrate Strong DSA, OOP, DBMS, OS fundamentals Logical and analytical problem-solving Efficient, clean coding habits System design thinking Communication and teamwork Curiosity, adaptability, and ownership 3️⃣ How Problem-Solving Is Tested Through coding challenges, debugging, and design questions that reveal your thought process — how you analyze, structure, and refine your solution. 4️⃣ How Interviewers Judge You They focus less on whether you got the “perfect” answer — and more on: Your structured thinking Clarity and explanation Optimization and edge case handling Calmness and adaptability under pressure ✅ Summary: A technical interview isn’t just about getting the answer right — it’s about demonstrating how you think, communicate, and grow as an engineer. 📝 Notes 🔗 [ https://lnkd.in/gQU7UmMt ] Special Thanks to algorithms365 and Mahesh Arali Sir for guiding me to not just prepare for interviews, but to understand the engineering mindset behind them. #day96 #interviewpreparation #java #dsa #placements #learningjourney #algorithms365 #mahesharali #careerprep #systemdesign #communication #problemsolving

Preparing for technical interviews can feel daunting. Here’s a straightforward approach: - Know the Basics: Brush up on core concepts in your field. For software engineers, revisit data structures and algorithms. - Practice Coding: Use platforms like LeetCode or HackerRank. Solve problems daily. Start with easy challenges; gradually tackle harder ones. - Mock Interviews: Pair up with a friend or use online services. Familiarise yourself with the pressure of a live interview. - System Design: For senior roles, prepare to design systems. Review common patterns. Sketch them out on a whiteboard. - Review Past Experiences: Be ready to discuss your projects. Highlight your role, challenges faced, and solutions implemented. - Ask Questions: Prepare questions for your interviewer. This shows interest and clarifies any doubts. Remember, preparation builds confidence. What’s your go-to strategy for acing interviews? For your inquiries please Call Grace: 01273 031509 or Email: recruitment@sussexstaffingsolutions.co.uk Call: 01273 031509 Website: https://lnkd.in/ea4gD7TF

🚀 Top 30 Array DSA Interview Questions (Easy → Hard) Whether you are preparing for FAANG interviews or sharpening your DSA fundamentals, mastering arrays is a must! Here’s a curated list of 30 array-based questions, arranged from easy to hard, to test your problem-solving skills: 🔹 Easy Level 1. Find the maximum and minimum element in an array 2. Reverse an array 3. Find the largest three elements in an array 4. Check if array is sorted 5. Find the frequency of elements in an array 6. Move all zeros to the end 7. Remove duplicates from a sorted array 8. Find the second largest element in an array 9. Left rotate an array by one position 10. Right rotate an array by k positions 🔹 Medium Level 11. Kadane’s Algorithm (Maximum Subarray Sum) 12. Find leaders in an array 13. Two Sum Problem 14. Best Time to Buy and Sell Stock (1 transaction) 15. Find Missing Number in an array 16. Find duplicate element in an array 17. Merge two sorted arrays without extra space 18. Find intersection of two arrays 19. Rearrange array in alternating positive and negative numbers 20. Find majority element (Moore’s Voting Algorithm) 🔹 Hard Level 21. Trapping Rain Water 22. Maximum Product Subarray 23. Longest Consecutive Subsequence 24. Subarray Sum Equals K 25. Minimum swaps required to sort the array 26. Find subarray with given sum (sliding window) 27. Median of two sorted arrays 28. Count inversions in an array (using Merge Sort) 29. Maximum Sum Circular Subarray 30. Smallest subarray with sum greater than X 💡 Pro Tip: Don’t just solve these questions—understand the time & space complexity, and try multiple approaches (brute force → optimized).

Ever wondered why, in IT interviews, they ask you to write code on paper — but in the actual job, you write it on VS Code? 🤔 It feels old-school, right? Like… “Why am I debugging syntax in my handwriting when real work happens on a laptop?” 😅 But here’s the thing — it’s not really about syntax. It’s about testing how you think. When you write code on paper, you don’t have IntelliSense, auto-suggestions, or Stack Overflow. You only have your logic and clarity of thought. In interviews, companies want to see: Can you break a problem into steps? Can you reason without relying on tools? Do you understand the core logic behind what you’re doing? Because once you join, you can learn tools, shortcuts, and frameworks — but logical thinking can’t be downloaded like an extension. ⚙️ So the next time you’re asked to code on paper, don’t see it as a weird test. See it as a logic check. Because in the end, clean thinking always beats clean syntax. 💡 #CodingInterviews #SoftwareEngineering #CareerTips #TechInterviews #LogicBuilding #ProgrammingLife #DevelopersCommunity #CareerGrowth #VSCode #ITJobs #InterviewPreparation #FreshersInTech

Here’s something I never understood 👇 Even after we get selected, we still refer, collaborate, and Google our way through real-world problems. Then why the hell do we have to write code without any reference during interviews? 🤔 In the real world, good developers don’t memorize everything. They know how to think, how to debug, and how to find the right solutions efficiently. But in interviews? You’re expected to recall syntax from memory like it’s a spelling bee. No Stack Overflow. No documentation. No real setup. Just a blank screen and pressure. 😮💨 It’s ironic, right? We judge candidates on how well they remember code — not how well they write it in real situations. Because real engineering isn’t about memory. It’s about problem-solving, clarity, and collaboration. Maybe it’s time we stop testing who can code perfectly from memory and start testing who can build effectively with context. Because once the interview ends, we all end up doing the same thing anyway — opening docs, searching errors, and learning on the go. 💻 Who else feels interviews should reflect how we actually work — not how much syntax we can remember? 👀 #SoftwareEngineering #TechInterviews #DeveloperLife #CodingReality #CleanCode

💡 The Problem-Solving Framework for Coding Interviews Before jumping into code, top candidates follow a structured approach. This helps them think clearly, communicate better, and build cleaner solutions. Here’s a simple flow to follow: 🔹 Understand → Plan → Code → Optimize Using the STAR Method: 1. Situation: Clarify the problem and define inputs/outputs 2. Task: Break it down, test small examples 3. Action: Write clean, modular code and handle bugs early 4. Result: Test, analyze complexity, and discuss improvements ✨ Bonus: Always explain your reasoning — that’s what interviewers really evaluate. #CodingInterviews #ProblemSolving #SoftwareEngineering #CareerGrowth #TechInterviews

The Problem-Solving Framework for Coding Interviews - PCodeCamp Framework STAR Method 🔹 Situation 1. Problem first, then coding 2. Write down the question 3. Ask Clarifying Questions 4. Agree on inputs and outputs 🔹 Task 1. Run your Ideas out loud 2. Start with a simple case and work toward a solution 3. Apply different examples to your solution 4. Keep these examples for later testing 🔹 Action 1. Use a language you are comfortable with Clean code 2. Bugs are Ok - catch them early 3. Ask before using any Libraries 4. Modularize algorithm with helper functions 🔹 Result 1. Run through the previous examples 2. Incorporate feedback from interviewer 3. Talk about how to optimize it further 4. Analyze Space and run time complexity

Injecting Prototype Beans into a Singleton in Spring — an underrated interview concept I recently read a great article explaining a common yet confusing Spring interview question: 👉 “How do you inject a Prototype Bean into a Singleton Bean?” Here’s the crux of it: In Spring, Singleton beans are created once and shared across the container. Prototype beans, however, are created every time they’re requested. So when you inject a prototype into a singleton, only one instance is created—defeating the purpose of the prototype scope. The solution? Use one of these approaches to fetch a fresh instance each time: @Lookup annotation ObjectFactory or Provider injection ApplicationContext (though less elegant) This pattern often comes up in real-world Spring Boot projects where per-request or per-thread data is needed. 👉 Full breakdown here: https://lnkd.in/dtrPW483

With all my experience of exploring #sde #interview databases, I’ve made a list of questions for off-campus interviews. Aiming to reduce the need of 2000 questions to top 300. Sharing my list of must-do Array questions. Lemme know if it helps… - Find the smallest missing number - Minimum number of jumps to reach end - Maximum Sum Increasing Subsequence - Find the smallest positive integer value that cannot be represented as sum of any subset of a given array - Space optimization using bit manipulations - Sort an array of 0s, 1s and 2s - Squares of Matrix Diagonal Elements - Subarray/Substring vs Subsequence and Programs to Generate them - Program to cyclically rotate an array by one - Maximum sum of i*arr[i] among all rotations of a given array - Rearrange an array such that arr[i] = i - Rearrange an array in maximum minimum form - K'th Smallest/Largest Element in Unsorted Array - Sqrt (or Square Root) Decomposition Technique - GCDs of given index ranges in an array - Maximum Occurrence in a Given Range - Largest Sum Contiguous Subarray Save for practice. And lemme know which topic list you want me to share next. You can dm me if your interviews are near, will share there as well. P.s.: Trying to help in tough interview times. #repost if it can help your network.

With all my experience of exploring #sde #interview databases, I've made a list of questions for off-campus interviews. Aiming to reduce the need of 2000 questions to top 300. Sharing my list of must-do Linked List (LL) questions. Lemme know if it helps… - Reverse a LL - Reverse a LL in given group of size - Reverse alternate K nodes of LL - Print the reverse of a LL without actually reversing it - Find the middle of a given LL - Detect and remove loop in LL - Find Nth node of LL from the end - Pairwise swap elements of a given LL - Rotate a LL - Check if LL is palindrome or not - Write a function to get the intersection point of two LLs - Find Intersection of two sorted LL - Merge two sorted LL - Union and intersection of two LLs - Flatten a LL - Remove duplicates from an unsorted doubly LL - Split a Circular LL into two halves - Circular LL (Traversal) Save this for practice. And lemme know which topic list you want me to share next. You can dm me if your interviews are near, will share there as well. P.s.: Trying to help in tough interview times. #repost if it can help your network.