IT Interview Questions: A Primer For The IT Job Interviews Front Cover

IT Interview Questions: A Primer For The IT Job Interviews



  • Provides insight into what drives the recruitment process and what an interviewer looks for while interviewing an engineering student
  • Covers concepts, problems, and interview questions for each topic
  • Covers latest buzzwords like Cloud Computing, Virtualization, Big Data, and many more
  • All the concepts are discussed in a lucid, easy to understand manner
  • A reader without any basic knowledge in computers can comfortably follow this book

Coders/Programmers are in demand, but to land the job, you must demonstrate knowledge of those things expected by today’s employers. This guide sets you up for success. Not only does it provide the most commonly asked interview questions and answers, but it also offers insight into the interview process in today’s marketplace. This book is a comprehensive guide for experienced and first-time programmers alike.

The book is specifically designed for freshers, who despite being brilliant at the technical aspects of the interview, tend to fail when it comes to soft skills and HR interviews. The book provides readers with a relevant blueprint when it comes to planning for pre-interview preparation. It provides candidates with guidelines on the preparation of their resumes and the format that should be followed.

Table of Contents

  1. Organization of Chapters 17
  2. Getting Ready 22
  3. Group Discussions 37
  4. Operating System Concepts 54
  5. C/C++/Java Interview Questions 81
  6. Scripting Languages 157
  7. Bitwise Hacking 194
  8. Concepts of Computer Networking 203
  9. Database Management Systems 256
  10. Brain Teasers 271
  11. Algorithms Introduction 274
  12. Recursion and Backtracking 285
  13. Linked Lists 290
  14. Stacks 322
  15. Queues 336
  16. Trees 345
  17. Priority Queues and Heaps 397
  18. Graph Algorithms 407
  19. Sorting 417
  20. Searching 441
  21. Hashing 466
  22. String Algorithms 473
  23. Algorithms Design Techniques 479
  24. Greedy Algorithms 482
  25. Divide and Conquer Algorithms 486
  26. Dynamic Programming 489
  27. Basics of Design Patterns 496
  28. Non-Technical Help 505
  29. Quantitative Aptitude Concepts 511
  30. Basics of Cloud Computing 524
  31. Miscellaneous Concepts 539
  32. Career Options 559
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