Databricks Interview Questions
The questions to prepare for Databricks interviews, across all roles. Questions from real interview reports rank first. Updated weekly.
Compute daily active users and a 7-day rolling average using a CTE, distinct counts, and window functions.
DatabricksWrite a reusable function that groups records by a composite key and keeps the most recent record per group.
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Design a Databricks fraud scoring stack for 2.5k-8k QPS, P95 <120 ms, AUC ≥0.94, within a $180k/month budget.
DatabricksApproach for maintaining data quality and integrity across ETL pipelines.
DatabricksDefine the right KPI and diagnose whether stronger conversion and engagement offset weaker retention after a product launch.
DatabricksCompare when to fine-tune a foundation model versus relying on prompt engineering with a managed API.
DatabricksSummarize your hands-on Databricks experience clearly, with concrete use cases, stakeholders, and business context.
DatabricksDescribe a time you had to choose between speed, quality, and scope, and how you aligned stakeholders around the trade-off.
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