Databricks DevOps Engineer Interview Questions
The questions to prepare for a Databricks DevOps Engineer interview. Questions from real interview reports rank first. Updated daily.
Parse log lines with a hash map and heap to return the top 10 IP addresses generating the most 5xx errors.
DatabricksSimulate Databricks API pagination with rate limits by using a queue-based retry strategy and exponential backoff.
DatabricksParse mixed JSON and CSV log lines, filter by service and status, and aggregate counts and latency metrics efficiently.
DatabricksDesign a GitHub Actions workflow to validate, promote, and monitor Databricks lakehouse pipelines across dev, staging, and prod.
DatabricksDesign a zero-downtime blue/green deployment strategy for Databricks streaming and batch pipelines with safe cutover, validation, and rollback.
DatabricksDesign a Databricks-native observability and capacity-planning approach for batch and streaming pipelines at 75 TB/day and 180K events/sec peak.
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Plan an 8-week observability upgrade for a Databricks production service, reducing noisy alerts and MTTR before an enterprise launch.
DatabricksPlan a 10-week automation of Databricks access reviews, balancing audit deadlines, incomplete metadata, and production reliability.
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