My interview experience with Dropbox was exceptionally positive, characterized by a well-structured process encompassing:

• A phone screening
• Two technical interviews
• A design system interview
• A final HR discussion

Throughout all stages, the HR team and interviewers were incredibly supportive, creating a comfortable atmosphere that eased the typical stress of interviews. They focused on both technical skills and cultural fit, ensuring a two-way conversation that felt more like a learning experience than a test.

This approach not only showcased Dropbox's commitment to a candidate-friendly process but also left me feeling valued and respected, making the entire experience stand out as both fair and genuinely human-centric.

Given a file system, return a list of collections of duplicate files.

Ask about:

• Symbolic links, same file/directory with different names, inability to detect cycles using visited nodes.
  • Use absolute paths or skip symbolic links if searching the entire file system.

What about invalid or malformed files (e.g., permission issues or inability to read)? * Compare files by hashing (MD5, SHA).

If the directory depth is large, DFS might cause a stack overflow; use BFS. The variable storing pathnames might overflow. * Most memory-consuming operations: MD5 hashing, reading files.

What about race conditions, such as someone writing to a file while you are reading it?

What if the process takes a long time? * If errors occur or the process hangs, implement checkpoints and save states from time to time.