Book Image

The Complete Coding Interview Guide in Java

By : Anghel Leonard
Book Image

The Complete Coding Interview Guide in Java

By: Anghel Leonard

Overview of this book

Java is one of the most sought-after programming languages in the job market, but cracking the coding interview in this challenging economy might not be easy. This comprehensive guide will help you to tackle various challenges faced in a coding job interview and avoid common interview mistakes, and will ultimately guide you toward landing your job as a Java developer. This book contains two crucial elements of coding interviews - a brief section that will take you through non-technical interview questions, while the more comprehensive part covers over 200 coding interview problems along with their hands-on solutions. This book will help you to develop skills in data structures and algorithms, which technical interviewers look for in a candidate, by solving various problems based on these topics covering a wide range of concepts such as arrays, strings, maps, linked lists, sorting, and searching. You'll find out how to approach a coding interview problem in a structured way that produces faster results. Toward the final chapters, you'll learn to solve tricky questions about concurrency, functional programming, and system scalability. By the end of this book, you'll have learned how to solve Java coding problems commonly used in interviews, and will have developed the confidence to secure your Java-centric dream job.
Table of Contents (25 chapters)
1
Section 1: The Non-Technical Part of an Interview
7
Section 2: Concepts
12
Section 3: Algorithms and Data Structures
19
Section 4: Bonus – Concurrency and Functional Programming

Practicing is the key to success

The topic of this short chapter deserves an entire book. But, challenging yourself to solve the following top 10 problems will boost your insights about scalability and your chances of becoming a software engineer.

Designing bitly, TinyURL, and goo.gl (a service for shorting URLs)

Questions to address:

  • How do you assign a unique identifier (ID) for each given URL?
  • Having thousands of URLs per second, how do you generate unique identifiers (IDs) at scale?
  • How do you handle redirects?
  • How do you deal with custom short URLs?
  • How do you deal with the expired URLs (delete them)?
  • How do you track statistics (for example, click stats)?

Designing Netflix, Twitch, and YouTube (a global video streaming service)

Questions to address:

  • How do you store and distribute data in a way that accommodates a large number of simultaneous users (the users can watch and share data)?
  • How do you track statistics (for example...