Cracking the Coding Interview - Chapter 9: Coding Questions and Solutions

Published: 01 January 1970
on channel: Lightup Technologies
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Welcome back to our Cracking the Coding Interview series! 🎯 In Chapter 9: Coding Questions and Solutions, we dive into real-world coding problems commonly asked in technical interviews and provide step-by-step solutions.

This chapter is designed to prepare you for coding challenges at top companies like Google, Amazon, Microsoft, Meta, and other leading tech firms. From understanding problem statements to implementing optimized solutions, this video will guide you through the essential coding questions you need to master to ace your interviews.

🔑 What You’ll Learn in This Video:

1️⃣ The Most Common Coding Questions in Interviews:

Hand-picked questions that are frequently asked at FAANG and other top companies.
Covering key topics like arrays, strings, recursion, trees, graphs, and dynamic programming.
2️⃣ Step-by-Step Approach to Solving Problems:

Understand the problem clearly.
Break it into smaller, manageable pieces.
Identify edge cases and constraints.
Design a solution using pseudocode.
Implement the solution and analyze time/space complexity.
3️⃣ Detailed Solutions to Real Problems:

Problem 1: Two Sum - Optimized approaches using hash maps.
Problem 2: Longest Substring Without Repeating Characters - Sliding window technique.
Problem 3: Merge K Sorted Lists - Priority queues and heaps.
Problem 4: Binary Tree Traversal - In-order, pre-order, and post-order recursion examples.
Problem 5: Dynamic Programming Problems - Like Fibonacci Sequence, Longest Common Subsequence, and Climbing Stairs.
4️⃣ Optimizing Solutions:

Analyzing time and space complexity using Big O Notation.
Identifying areas for improvement in brute-force solutions.
Writing clean, modular, and efficient code.
5️⃣ Problem-Solving Strategies to Stand Out:

Think out loud: Communicating your thought process clearly during interviews.
Techniques like divide and conquer, sliding windows, and recursion.
Tackling edge cases, null inputs, and large datasets effectively.
6️⃣ Common Mistakes and How to Avoid Them:

Jumping straight into coding without a plan.
Overlooking edge cases or performance constraints.
Failing to optimize the solution after the first pass.
💡 Why Solving Coding Questions is Critical:
Coding questions test your ability to:
✅ Break down complex problems into logical steps.
✅ Write clean, optimized, and scalable code.
✅ Communicate effectively under time constraints.

By practicing and understanding these common questions, you’ll:

Be prepared for FAANG-level interviews.
Gain confidence in solving coding challenges.
Develop habits that translate to success in real-world engineering roles.
🚀 Who Should Watch This Video?

Beginners looking to build a solid foundation in coding interviews.
Intermediate developers preparing for FAANG interviews.
Professionals who want to master problem-solving techniques and write efficient code.
By the end of this video, you’ll not only understand these questions but also be able to tackle any coding challenge with confidence!


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