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.
HardTechnical
0 practiced
Given a Snowflake account with many short-lived zero-copy clones, propose a cost optimization plan that reduces storage growth while preserving developer productivity. Include monitoring, lifecycle policies, and alternative developer workflows.
MediumTechnical
0 practiced
A nightly reporting query that previously ran in 15 minutes now takes 90 minutes. As a data engineer, outline a step-by-step troubleshooting plan to find root cause and list specific metrics or tools you'd check across compute, storage, and queries.
EasyTechnical
0 practiced
Outline Amazon Redshift's architecture (leader node, compute nodes, columnar storage) and the evolution to RA3 nodes with managed storage. As a data engineer, explain distribution styles, sort keys, and how Redshift handles storage and compute scaling.
MediumTechnical
0 practiced
Describe strategies to handle schema evolution for analytics tables ingested from many sources (e.g., adding/removing fields, nested fields). As a data engineer, discuss backward/forward compatibility, migration patterns, and techniques to validate post-change.
HardBehavioral
0 practiced
Tell me about a time you led a migration to a cloud data warehouse or redesigned a major ETL pipeline. Describe the situation, your role, technical decisions you made, obstacles encountered, stakeholder communication, and the measurable outcomes (use STAR format).
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