Data Structures and Algorithms: Explain the differences between an array and a linked list. How does a hash table work, and what are its advantages and disadvantages? Implement a binary search algorithm. Describe the time complexity of common sorting algorithms (e.g., quicksort, mergesort). Programming Languages and Concepts: What programming languages are you proficient in? Explain object-oriented programming and its principles. Discuss the differences between pass-by-reference and pass-by-value. System Design: Design a URL shortening service (like Bitly). How would you design a distributed file storage system? Explain the concept of load balancing in the context of web applications. Database and SQL: What is the difference between SQL and NoSQL databases? Write an SQL query to retrieve data from a database table. Explain the ACID properties of a database transaction. Behavioral Questions: Teamwork and Communication: Describe a situation where you had to work collaboratively with a team to solve a problem. How do you handle disagreements or conflicts with colleagues? Give an example of a project where effective communication was crucial to its success. Problem-Solving and Adaptability: Describe a challenging bug or technical problem you faced and how you resolved it. How do you stay up-to-date with new technologies and programming languages? Discuss a situation where you had to quickly learn a new programming language or framework. Time Management and Prioritization: How do you manage your time and prioritize tasks in a fast-paced development environment? Give an example of a project where you had to meet tight deadlines. How did you approach it? Problem-Solving Questions: Coding Challenges: Solve coding challenges related to data structures and algorithms (e.g., reverse a linked list, find the shortest path in a graph). Implement a specific feature or algorithm relevant to the company's technology stack. System Design Scenarios: Whiteboard or discuss the design of a system or component based on specific requirements. Evaluate trade-offs and scalability considerations in your design. Debugging and Optimization: Analyze a piece of code with a bug and debug it. Optimize a piece of code or algorithm for better performance.