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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
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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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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

Technical quiz

The technical quiz can take on a question-answer format with the technical interviewer, or it can be an on-site quiz. Commonly, it contains 20-40 questions and takes less than an hour.

When the technical interviewer conducts the process, you will have to provide free answers and the duration may vary (for example, between 30-45 minutes). It is important to be crystal clear, concise, and always on topic.

Usually, when a technical interviewer conducts the interview, the questions are formulated as scenarios that require you to make a decision or choice. For example, a question may sound like this: We need a space-efficient algorithm capable of searching millions of records extremely quickly with a decent number of false positives. What do you recommend for us? Most probably, the expected answer is something like, I will consider algorithms from the Bloom filters family. If you came across a similar case in your previous projects, then you may say it like this:...

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