Real questions from top companies
Describe how data is ingested, transformed, and served in a data pipeline.
Describe how to monitor and log errors effectively in a real-time data pipeline.
Describe how you would architect a pipeline to process real-time logs with schema evolution
Describe how you would debug a failing ETL pipeline in production.
Describe how you would design a data catalog for managing metadata
Describe how you'd design a system to track inventory and sales in real-time.
Describe strategies for monitoring, retries, idempotency, and validation in data pipelines.
Describe the architecture of an ETL pipeline you built in your previous project.
Describe the steps involved in optimizing an existing data transformation pipeline.
Describe your current project, including technologies, architecture, and responsibilities.
Describe your experience with large-scale data systems
Describe your monitoring strategy for this pipeline.
Describe your work with microservices.
Design a Data Warehouse for an e-commerce platform.
Design a data model for a ride-hailing app.
Design a data model for a ridesharing app
Design a data model for an e-commerce system tracking orders, shipments, and payments.
Design a data model for capturing watch sessions across multiple devices
Design a data model to track orders, payments, and shipping — handle changes in customer address
Design a data pipeline for real-time analytics of e-commerce transactions. Ensure to include data ingestion, processing, storage, and visualization components.
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.