data contracts
AI, ML & GenAI interview questions tagged data contracts, across every topic.
4 questions · 1 unlocked for you
Concepts behind "data contracts"
The curriculum that explains the ideas these questions test.
Foundational
Data Quality and ContractsModels and analytics are only as good as the data behind them, and a silent upstream data change (a renamed column, a units switch, a spike in nulls) corrupts everything downstream without raising an error. Data quality means automated checks (schema, ranges, nulls, freshness, volume, uniqueness) plus data contracts between producers and consumers enforced in CI. AI, ML, and GenAI interviews probe it because 'garbage in, garbage out' is the most common and hardest-to-diagnose cause of model and dashboard failures.🗄️ Data & SQL Engineering
Core
Schema Evolution and Data ContractsSchemas change as products evolve, and adding, altering, or dropping a column can break every downstream consumer at once. The safe approach is backward and forward compatible changes through expand-then-contract migrations, plus data contracts that make producer and consumer expectations explicit and enforceable in CI. AI, ML, and GenAI interviews probe it because a single careless column rename can take down dashboards, jobs, and model features silently, and the engineer who plans the migration is the one who has been burned before.🗄️ Data & SQL EngineeringSign in