Best of Interview Questions — July 2024

1. 1
   Article

   Javarevisited·2y

   How to Prepare for Coding Interviews in 2024? (with Resources)

   In today's competitive job market, preparing for coding interviews requires a systematic approach. Key areas to focus on include Data Structures and Algorithms, High-Level Design (HLD), Low-Level Design (LLD), CS Fundamentals, and Behavioral questions. Utilize resources such as DesignGuru.io, notable books, video channels, and platforms like Leetcode, Codemia, and Pramp for comprehensive preparation. Mock interviews and company-specific preparation are also essential for success.

   870

   11
2. 2
   Article

   Substack·2y

   20 Patterns to Master Dynamic Programming

   Dynamic Programming (DP) is known as a challenging topic for coding interviews. Learning DP efficiently involves understanding various patterns that solve a wide range of problems. This guide covers 20 DP patterns, from easy to hard, offering insights into their uses and linking to LeetCode problems for practice. Patterns include Fibonacci Sequence, Kadane's Algorithm for maximum subarray problems, the 0/1 and Unbounded Knapsack problems, Longest Common Subsequence, and many others.

   575

   7
3. 3
   Article

   Medium·2y

   40 Must-Read White Papers to Learn System Design and Software Architecture

   This post lists 40 essential white papers for learning system design and software architecture. It is geared towards those preparing for system design interviews or aiming to understand complex system architectures. Each white paper provides in-depth technical insights from industry leaders like Google and AWS, covering topics from distributed file systems to data processing models and consensus algorithms.

   518

   7
4. 4
   Article

   Community Picks·2y

   System Design Basics - Caching

   Caching is a crucial technique in system design and software development, enhancing data retrieval speeds, reducing load times, and improving user experience. This post explores various caching strategies, such as client-side, server-side, application-level, database, and distributed caching. It also covers essential concepts like cache replacement policies, cache invalidation methods, hierarchical caching, and caching patterns. These concepts are vital for optimizing performance and scalability, especially during system design interviews.

   329

   9
5. 5
   Article

   Javarevisited·2y

   System Design Basics — Rate Limiter

   A rate limiter is a mechanism used in software systems and network communications to control the rate at which requests or operations are performed. It helps maintain system stability, prevent resource overuse, and ensure fair usage among users. Rate limiters are critical in high-traffic, distributed architectures. Common rate limiting algorithms include Token Bucket, Leaky Bucket, and Sliding Window. Understanding rate limiting is important for system design interviews, where it is often discussed alongside concepts like API gateways and load balancers.

   293

   2