Top 50 data ingestion Interview Questions
The most frequently asked data ingestion questions across all roles and companies, ranked by real interview frequency. Updated daily.
Design an ML pipeline that mines rare autonomous driving edge cases from fleet logs and prioritizes high value segments for labeling.
Weride.Ai
Waymo
ZooxClean a text corpus and design an end-to-end system that predicts probable next words.
AppleExplain how CSV, Delta Lake, the Lakehouse, serverless compute, and clusters fit together in Databricks.
DatabricksDesign a Databricks-based data platform that supports reliable ingestion, ML training, feature serving, governance, and production inference.
DatabricksDesign a resilient Kafka and Spark pipeline with durable ingestion, stream processing, replay, observability, and optional ML inference.
AppleDesign a Databricks pipeline to ingest third-party data, clean it, and refresh business reports every 10 minutes.
DatabricksDesign a data warehouse for employee hours, headcount, and hiring and attrition metrics by department and building.
Amazon Web ServicesDesign a recovery approach for a Delta Lake table when a transaction log file is deleted.
DatabricksSign up to see every question
Create a free account to unlock this list and practice real interview questions.
Return active, non-expired dataset grants while enforcing MFA and role requirements for sensitive data.
Use PostgreSQL window functions to calculate rolling throughput averages and flag anomalous Amazon Services facility hours.
Amazon ServicesUse CTEs, joins, and date aggregation to flag Twitch channels with unusually low daily active viewers.
Twitch