Real questions from top companies in System Design/Architecture
How does data flow through the system? From ingestion to processing and storage?
How to adapt the same pipeline to a cloud environment?
How to capture data lineage for Spark code, using a DataHub-based example?
How to create a database from scratch and architect it for scalability and performance?
How to set up ETL pipelines using Apache Airflow?
How to store massive data in a distributed system?
How we manage dependencies and retries in data pipelines
How would you architect a recommendation system for Adidas's e-commerce platform?
How would you automate a data pipeline deployment using GitHub Actions or another CI/CD tool?
How would you build a monitoring dashboard for ETL job failures?
How would you build a pipeline that transforms semi-structured logs into a structured analytics layer?
How would you build a reusable ETL framework using Airflow?
How would you design a cost-effective data lake architecture on AWS or Azure?
How would you design a cost-effective, scalable, and efficient data pipeline for an e-commerce website?
How would you design a data archiving strategy in S3 using lifecycle policies?
How would you design a data ingestion framework for heterogeneous data sources?
How would you design a data pipeline to handle late-arriving data?
How would you design a data platform to handle real-time transaction data for a retail business?
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?
Type or paste your answer to any of these questions and our AI Coach scores it, highlights gaps, and rewrites it at FAANG quality. Free to try.