Design a fault-tolerant Search System
Last updated: April 14, 2026
Quick Overview
Design a fault-tolerant search system handling millions of requests. Discuss consistency, availability, and performance trade-offs.
Walmart
ML System Design
Machine Learning Engineer
Walmart
April 14, 2026Machine Learning Engineer
Onsite
ML System Design
Hard
246
7
875 solved
Design a fault-tolerant search system handling millions of requests. Discuss consistency, availability, and performance trade-offs.
How to Approach This
- Start by mapping the business objective to a concrete ML objective and metric.
- Cover the full pipeline: data collection, feature engineering, model selection, training, serving.
- Discuss online vs offline evaluation. Plan an A/B test to validate real-world impact.
- Address the serving latency budget and whether batch or real-time inference is needed.
- Think about the data flywheel: how user feedback improves the model over time.
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Practice ML System Design ProblemsSample Answer
Problem Formulation
The primary business problem is to design a fault-tolerant search system for Walmart that can efficiently handle millions of search requests from users looking for products. This can be formulated as ...
Data & Features
The data sources for this system include:
- Product Catalog: Structured data containing product IDs, descriptions, categories, prices, and stock levels.
- User Behavior Logs: Clickstream dat...
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