Real questions from top companies in System Design/Architecture
How would you monitor and reduce disk-based queries (disk spilling)?
Lakehouse vs. Warehouse
Mapper and Reducer design for solving Two-Sum
Propose a solution for monitoring and maintaining data quality across multiple regions.
What are the best practices for logging and monitoring bad data?
What are the implications of enabling schema auto-detection?
What are the limitations of Assert Transformations in complex data flows?
What would you do if a critical data pipeline failed during a holiday?
What's your approach to data versioning in a data lake?
Which metrics are critical to monitor?
Architect a solution to handle notifications for millions of users with varying preferences.
Build a banking system architecture from scratch, highlighting critical workflows, scalability, and data management strategies.
Business Role of Data Pipeline
CAP Theorem
CI/CD implementation across environments (DEV, QA, UAT, PreProd, PROD)
Can Schema Evolution lead to data inconsistencies? If so, how do you manage them?
Compare Native vs Cloud Database Systems.
Data Volume in Pipelines and Scalability Solutions
Demonstrate system design principles applied to BI solutions.
Describe a data pipeline you built and optimized.
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.