Design a Recommendation Service
Last updated: September 19, 2025
Quick Overview
Design a event-driven recommendation system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
NVIDIA
September 19, 2025139
4
1,757 solved
Design a event-driven recommendation system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
System design interviews at NVIDIA typically last 45-60 minutes. You are expected to drive the conversation, starting from requirements gathering through to a detailed architecture. The interviewer will evaluate your ability to handle ambiguity and make practical engineering decisions.
What the Interviewer Expects
- Clearly define functional and non-functional requirements
- Propose a reasonable high-level architecture with core components
- Choose appropriate data storage solutions with basic justification
- Discuss basic scaling strategies (horizontal scaling, caching)
- Identify potential bottlenecks and suggest simple solutions
Key Topics to Cover
How to Approach This
- Start by clarifying functional and non-functional requirements with the interviewer.
- Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
- Draw a high-level architecture first, then deep dive into 1-2 critical components.
- Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
- Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
- What happens if one of your database nodes goes down?
- How would you implement rate limiting to protect the system?
- How would you handle a 10x increase in traffic overnight?
Practice a Similar Problem on Codemia
Solve a related problem with our interactive workspace, get AI feedback, and view detailed solutions.
Solve on CodemiaSample Answer
Requirements
Functional Requirements:
- Real-time Recommendations: The system should provide personalized recommendations based on user behavior and preferences within milliseconds.
- **User Profile Mana...
Capacity Estimation
To estimate capacity, we consider the following:
- Estimated Users: 10 million active users.
- User Events: Each user generates an average of 10 events per day (clicks, views, etc.), leading t...
Submit Your Answer
