IC1
The IC1 Apprentice Software Engineer interview at LinkedIn is designed to assess foundational programming skills, problem-solving abilities, and cultural fit for entry-level engineers. It typically involves a mix of technical and behavioral assessments to ensure candidates have the potential to grow within the company.
3
~14 days
0 - 2 yrs
US$75000 - US$95000
150 min
Overall Evaluation Criteria
Technical Skills
Communication and Behavioral
Preparation Tips
Study Plan
Data Structures
Weeks 1-2: Data Structures (Arrays, Lists, Trees, Hash Tables). Practice implementations and complexity analysis.
Weeks 1-2: Focus on Data Structures. Cover arrays, linked lists, stacks, queues, trees (binary trees, BSTs, AVL trees), heaps, and hash tables. Practice implementing these structures and solving problems related to them. Understand their time and space complexity.
Algorithms
Weeks 3-4: Algorithms (Sorting, Searching, Graph Traversal, Recursion). Practice problem-solving.
Weeks 3-4: Focus on Algorithms. Cover sorting algorithms (bubble sort, merge sort, quick sort), searching algorithms (binary search), graph algorithms (BFS, DFS, Dijkstra's), dynamic programming, and recursion. Practice solving problems using these algorithms.
System Design Fundamentals
Week 5: System Design Basics (Scalability, Caching). Focus on simple designs.
Week 5: System Design Fundamentals. Understand basic concepts like scalability, availability, load balancing, and caching. Focus on designing simple systems relevant to entry-level roles.
Behavioral Preparation
Week 6: Behavioral Questions (STAR Method). Prepare examples for teamwork and problem-solving.
Week 6: Behavioral Preparation. Prepare answers for common behavioral questions using the STAR method. Reflect on your experiences related to teamwork, problem-solving, challenges, and learning.
Mock Interviews and Review
Week 7: Mock Interviews and Review. Practice and refine weak areas.
Week 7: Mock Interviews and Review. Conduct mock interviews to simulate the actual interview environment. Review weak areas identified during practice and mock interviews. Refine your explanations and problem-solving approaches.
Commonly Asked Questions
Location-Based Differences
Global
Interview Focus
Common Questions
Tell me about a challenging project you worked on during your studies.
How do you approach learning a new programming language or technology?
Describe a time you had to collaborate with a team on a technical project.
What are your favorite data structures and why?
Explain the concept of recursion with an example.
Tips
North America
Interview Focus
Common Questions
How do you handle ambiguity in project requirements?
Describe a situation where you received constructive criticism and how you responded.
What are your thoughts on code reviews?
Explain the difference between a process and a thread.
How would you design a simple URL shortener?
Tips
Europe
Interview Focus
Common Questions
Can you explain the principles of object-oriented programming?
How do you ensure the quality of your code?
Describe a time you had to debug a complex issue.
What are the advantages of using version control systems like Git?
How would you approach optimizing a slow-running query?
Tips
Process Timeline
Interview Rounds
3-step process with detailed breakdown for each round
Coding Challenge
Assess fundamental coding skills and problem-solving with 1-2 coding questions.
This round focuses on assessing your fundamental programming skills and problem-solving abilities. You will be asked to solve one or two coding problems, typically involving arrays, strings, or basic data structures. The interviewer will evaluate your approach, the correctness of your code, and your ability to explain your thought process.
What Interviewers Look For
Evaluation Criteria
Questions Asked
Given an array of integers, find the contiguous subarray with the largest sum.
Implement a function to reverse a linked list.
Preparation Tips
Common Reasons for Rejection
Algorithms and Data Structures Deep Dive
Deeper dive into algorithms and data structures with more complex coding problems.
This round delves deeper into your algorithmic knowledge and problem-solving capabilities. You'll be presented with more complex coding problems that require knowledge of various data structures and algorithms. The interviewer will assess your ability to analyze the problem, choose appropriate algorithms, optimize solutions, and handle edge cases.
What Interviewers Look For
Evaluation Criteria
Questions Asked
Write a program to check if a binary tree is a Binary Search Tree.
Find the kth smallest element in a Binary Search Tree.
Preparation Tips
Common Reasons for Rejection
Behavioral and Cultural Fit
Assess soft skills, teamwork, and cultural fit through behavioral questions.
This round focuses on your behavioral and cultural fit. You'll be asked questions about your past experiences, how you handle challenges, work in teams, and your motivations. The goal is to understand your soft skills and how well you align with LinkedIn's values and work environment.
What Interviewers Look For
Evaluation Criteria
Questions Asked
Describe a situation where you had to deal with a difficult teammate.
How do you stay updated with new technologies?
Tell me about a time you failed. What did you learn from it?
Preparation Tips
Common Reasons for Rejection
Commonly Asked DSA Questions
Frequently asked coding questions at LinkedIn