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Software Developer

WRITTEN TEST:
  • Coding problems/ MCQ's
  • 2 or 3 questions expected
  • Duration-1 hour

Topics:

  • Data Structures
  • Algorithms
  • OOPS
  • DBMS
  • Networking
  • Linux
GROUP DISCUSSION : NO
SKILLS REQUIRED:
  • API
  • CSS
  • HTML
  • JavaScript
  • SOAP
  • REST
  • PHP
  • DSA and Algorithms
INTERVIEW GUIDELINES
Round 1 : Technical Interview 1
  • Questions from DSA, DBMS, Networking and OS

Questions

  • Longest Palindromic Subsequence
  • Find the first and last occurrence of x
  • Pair with the greatest product in an array
  • Merge Two Sorted Arrays
Round 2 : Technical Interview 2
  • Resume based questions
  • Technical questions

Questions

  • Search a node in BST (Function Problem)
  • How is the data structure of System R different from the relational structure?
  • What are the differences between paging and segmentation?
  • What are some pros and cons of a command-line interface?
  • What is time-stamping?
Round 3 : Technical Interview 3
  • Case studies
  • Situation based questions
  • Technical questions

Questions

  • Describe the Buddy system of memory allocation
  • What is the Translation Lookaside Buffer (TLB)?
  • What are the differences between AngularJS and Backbone.js? Which one do you prefer and why?
  • How would you code the addClass() method (like jQuery)?
  • How would you code a slideshow?
Round 4 : Technical Interview 4
  • Standard puzzles
  • Technical questions

Questions

  • How would you code a dropdown menu?
  • Reverse a String in JavaScript. Show us multiple ways to do it.
  • Program a function that determines if one document node contains another node.
  • Build out the basic HTML and CSS required to build a "People You May Know" widget based on a screenshot given
Round 5 : HR Round
  • General Questions

Questions:

  • Tell me about yourself?
  • Questions related to family background.
  • Problems faced during projects.
  • What features do you see LinkedIn finding valuable?
MPLOYEE.ME TIPS:
  • Write clean, modular codes with reasonable complexity.
  • Interact with the interviewers.
  • Solve the problem before you start writing the code.
  • Review your Data Structures and Algorithms before appearing for the interview.

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