Cloud Data Warehouse Architecture Questions
Understand modern cloud data platforms: Snowflake, BigQuery, Redshift, Azure Synapse. Know their architecture, scalability models, performance characteristics, and cost optimization strategies. Discuss separation of compute and storage, time travel, and zero-copy cloning.
MediumTechnical
0 practiced
Explain the difference between BigQuery on-demand pricing and flat-rate (slots). For a BI team with spiky but predictable dashboard usage, which pricing model would you recommend and why? Include how BI Engine or BI cache influences the decision.
MediumTechnical
0 practiced
Describe how you would implement data quality tests for key BI metrics using dbt (or a similar framework). Provide examples of tests for nulls, referential integrity, row counts, and sudden metric drops, and how you'd surface failures to stakeholders.
MediumTechnical
0 practiced
You inherit a Redshift cluster with many unused or overprovisioned nodes and a handful of slow, frequently-run BI queries. Propose immediate, mid-term, and long-term actions covering re-sizing (RA3), vacuuming, distribution/sort keys, and query refactoring.
HardTechnical
0 practiced
Discuss trade-offs between micro-batch and streaming architectures for a BI platform that needs sub-minute freshness for some metrics but processes billions of events per day. Which approach scales better cost-wise and operationally, and why?
HardSystem Design
0 practiced
Architecture question: Design a solution that allows BI analysts to run ad-hoc queries against raw event data in the lake while preventing expensive queries from impacting production dashboards. Include access controls, query caps, materialized caches, and query sandboxing.
Unlock Full Question Bank
Get access to hundreds of Cloud Data Warehouse Architecture interview questions and detailed answers.
Sign in to ContinueJoin thousands of developers preparing for their dream job.