The Load Balancer
A medium Python mock interview question on DataDriven. Practice with AI-powered feedback, real code execution, and a hire/no-hire decision.
- Domain
- Python
- Difficulty
- medium
- Seniority
- L4
Interview Prompt
Implement a round-robin LoadBalancer driven by an ops list, exposed through the top-level function `load_balancer_demo(ops)`. Each op is a list: `['add_server', id]` registers a server, `['remove_server', id]` deregisters it, and `['get_server']` returns the next server id. `get_server` rotates over the currently registered servers in the order they were added, wrapping back to the first after the last. Return a list containing ONLY the results of the `get_server` calls, in the order those calls occurred (`add_server`/`remove_server` contribute nothing to the output). After a removal the rotation continues over the remaining servers without skipping or repeating. If `get_server` is called with zero servers the behavior is undefined (test data will not hit this).
Summary
Distribute incoming requests evenly across available servers.
How This Interview Works
- Read the vague prompt (just like a real interview)
- Ask clarifying questions to the AI interviewer
- Write your python solution with real code execution
- Get instant feedback and a hire/no-hire decision