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The Complete Coding Interview Guide in Java

You're reading from   The Complete Coding Interview Guide in Java An effective guide for aspiring Java developers to ace their programming interviews

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781839212062
Length 788 pages
Edition 1st Edition
Languages
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Author (1):
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Anghel Leonard Anghel Leonard
Author Profile Icon Anghel Leonard
Anghel Leonard
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Toc

Table of Contents (25) Chapters Close

Preface 1. Section 1: The Non-Technical Part of an Interview
2. Chapter 1: Where to Start and How to Prepare for the Interview FREE CHAPTER 3. Chapter 2: What Interviews at Big Companies Look Like 4. Chapter 3: Common Non-Technical Questions and How To Answer Them 5. Chapter 4: How to Handle Failures 6. Chapter 5: How to Approach a Coding Challenge 7. Section 2: Concepts
8. Chapter 6: Object-Oriented Programming 9. Chapter 7: Big O Analysis of Algorithms 10. Chapter 8: Recursion and Dynamic Programming 11. Chapter 9: Bit Manipulation 12. Section 3: Algorithms and Data Structures
13. Chapter 10: Arrays and Strings 14. Chapter 11: Linked Lists and Maps 15. Chapter 12: Stacks and Queues 16. Chapter 13: Trees and Graphs 17. Chapter 14: Sorting and Searching 18. Chapter 15: Mathematics and Puzzles 19. Section 4: Bonus – Concurrency and Functional Programming
20. Chapter 16: Concurrency 21. Chapter 17: Functional-Style Programming 22. Chapter 18: Unit Testing 23. Chapter 19: System Scalability 24. Other Books You May Enjoy

What this book covers

Chapter 1, Where to Start and How to Prepare for the Interview, is a comprehensive guide that tackles the preparation process for a Java interview from zero to hire. More precisely, we want to highlight the main checkpoints that can ensure a smooth and successful career path ahead.

Chapter 2, What Interviews at Big Companies Look Like, talks about how interviews are conducted in the main Big Tech firms of Google, Amazon, Microsoft, Facebook, and Crossover.

Chapter 3, Common Non-Technical Questions and How To Answer Them, tackles the main aspects of the non-technical questions. This part of the interview is commonly carried out by a hiring manager or even an HR person.

Chapter 4, How to Handle Failures, discusses a delicate aspect of the interview – handling failures. The main purpose of this chapter is to show you how to identify the causes of failure and how to mitigate them in the future.

Chapter 5, How to Approach a Coding Challenge, covers the technical quizzes and coding challenge topics that are commonly referred to as the technical interview.

Chapter 6, Object-Oriented Programming, explains the most popular questions and problems concerning object-oriented programming encountered at Java interviews, including the SOLID principles and coding challenges such as Jukebox, Parking Lot, and Hash Table.

Chapter 7, Big O Analysis of Algorithms, provides the most popular metric for analyzing the efficiency and scalability of algorithms, the Big O notation, in the context of a technical interview.

Chapter 8, Recursion and Dynamic Programming, covers one of the favorite topics of interviewers – recursion and Dynamic Programming. Both of these topics work hand in hand with each other, so you have to be able to cover both.

Chapter 9, Bit Manipulation, explains the most important aspects of bit manipulation that you should know in a technical interview. Such problems are often encountered in interviews and they are not easy. In this chapter, you have 25 such coding challenges.

Chapter 10, Arrays and Strings, covers 29 popular problems involving strings and arrays.

Chapter 11, Linked Lists and Maps, teaches you the 17 most famous coding challenges that involve maps and linked lists encountered in interviews.

Chapter 12, Stacks and Queues, explains the 11 most popular interview coding challenges involving stacks and queues. Mainly, you have to learn how to provide a stack/queue implementation from scratch and how to tackle coding challenges via the Java built-in implementations.

Chapter 13, Trees and Graphs, covers one of the most tricky topics in interviews – trees and graphs. While there are tons of problems related to these two topics, only a handful of them are actually encountered in interviews. It is therefore very important to give a high priority to the most popular problems concerning trees and graphs.

Chapter 14, Sorting and Searching, covers the most popular sorting and searching algorithms encountered in technical interviews. We will cover sorting algorithms such as Merge Sort, Quick Sort, Radix Sort, Heap Sort, and Bucket Sort, and searching algorithms such as Binary Search. By the end of this chapter, you should be able to tackle a wide range of problems that involve sorting and searching algorithms.

Chapter 15, Mathematics and Puzzles, talks about a controversial topic in interviews: mathematics and puzzle problems. A significant number of companies consider that these kinds of problems should not be part of a technical interview, while other companies still regard this topic as relevant for interviews.

Chapter 16, Concurrency, covers the most popular questions about Java concurrency (multithreading) that occur in general interviews involving the Java language.

Chapter 17, Functional-Style Programming, examines the most popular questions about Java functional-style programming. We cover key concepts, lambdas, and streams.

Chapter 18, Unit Testing, talks about unit-testing interview problems that you may encounter if you apply for a position such as a developer or software engineer. Of course, if you are looking for a tester (manual/automation) position, then this chapter may represent just another perspective on testing. Therefore, do not expect to see questions here specific to manual/automation tester positions.

Chapter 19, System Scalability, provides the widest range of scalability interview questions you may be asked during a junior/middle-level interview for a position such as a web application software architect, Java architect, or software engineer.

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