← Goldman Sachs Interview Insights
I've done this so many times it's basically muscle memory at this point.
Start by clarifying the problem requirements (e.g., range, output format) and then implement a clean, efficient solution using a loop with conditional checks. Discuss edge cases and potential optimizations, and be prepared to explain your code and test it with examples.
Pro tip: Even for simple problems, demonstrate professionalism by writing modular, testable code and discussing time/space complexity. Mention that FizzBuzz can be solved without the modulo operator using counters, showing deeper algorithmic thinking.
Ask about the range (e.g., 1 to 100), output format (print or return list), and any constraints. Confirm whether to use standard FizzBuzz rules.
Outline a loop from 1 to n, checking divisibility by 3 and 5. Decide on order of conditions to avoid redundancy (e.g., check both first).
Write clean code with meaningful variable names. Use modulo operator for simplicity, but be ready to discuss alternatives.
Walk through a few iterations (e.g., 1, 3, 5, 15) to verify correctness. Mention edge cases like n=0 or negative numbers if applicable.
State time complexity O(n) and space O(1). Discuss potential optimizations or alternative approaches (e.g., string concatenation, counter method).
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Start by clarifying the requirements and constraints of the API, such as the domain, expected load, and security needs. Then outline a high-level design covering endpoints, data models, and technology stack, and finally dive into implementation details for one or two key endpoints. Emphasize best practices like RESTful principles, error handling, and scalability.
Pro tip: Demonstrate awareness of financial industry constraints like data sensitivity, audit trails, and low-latency requirements, and mention how you would handle them in your design. This shows you understand the context beyond just coding.
Ask questions to understand the API's purpose, expected traffic, data sensitivity, and integration points. This ensures your design meets the actual needs.
Define resource endpoints, HTTP methods, status codes, and request/response formats. Use RESTful conventions and consider versioning.
Select appropriate frameworks, databases, and tools based on requirements, such as Node.js/Express for rapid development or Spring Boot for enterprise robustness.
Write code for key endpoints, including routing, validation, business logic, and data persistence. Highlight error handling and input sanitization.
Discuss security (authentication, authorization, encryption), scalability (caching, load balancing), and monitoring (logging, metrics).
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.