Real questions from top companies · hard
How would you design a database to handle historical data storage for compliance purposes?
How would you design a logging framework to track errors across multiple services?
How would you design a real-time pipeline for generating daily retail sales reports?
How would you design a scalable data ingestion pipeline?
How would you design a scalable data lake for Adidas's global e-commerce operations?
How would you design a system to support personalized recommendations at scale?
How would you design an architecture that supports both batch and real-time analytics for sales data?
How would you design the architecture to handle high availability and scalability?
How would you ensure data quality and integrity in a data pipeline? Discuss the steps you would take to validate and cleanse data.
How would you ensure the system can handle millions of concurrent users?
How would you fetch data from an external API, and what AWS services would you use to build a scalable data pipeline?
How would you fix a client's failing reporting pipeline suffering from performance bottlenecks?
How would you handle late-arriving data in a real-time stream processing pipeline?
How would you handle schema changes in a production ETL pipeline?
How would you handle schema evolution in a real-time data system?
How would you implement a near real-time data pipeline for analyzing user behavior on the Adidas mobile app?
How would you implement data governance and security in your design?
How would you manage a disagreement within your team about an ETL pipeline design?
How would you manage schema evolution in your data lake?
How would you process Excel files with multiple sheets? Design the data pipeline.
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