Databricks DevOps Engineer Interview Questions
The questions to prepare for a Databricks DevOps Engineer interview. Questions from real interview reports rank first. Updated weekly.
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 safe deployment pipeline using blue/green or canary rollout patterns, with automated checks, promotion gates, and rollback.
DatabricksCompare Airflow, Dagster, and Prefect for a Databricks-first ETL platform and design the target orchestration architecture.
DatabricksDesign Terraform-based infrastructure as code for AWS data pipelines with reusable modules, secure state management, CI/CD, and drift control.
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Run a Sev-1 post-incident review that creates real learning and closes actions despite ambiguity, defensiveness, and quarter-end delivery pressure.
DatabricksPlan an 8-week observability upgrade for a Databricks production service, reducing noisy alerts and MTTR before an enterprise launch.
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