Partitioning Interview Questions

11 real Partitioning questions asked in live technical interviews — each with a model answer. Updated weekly.

🎤 Auto-captured by Assisting AI during live interviews

These Partitioning interview questions were captured from real interviews by candidates using Assisting AI. Each links to a full model answer. For real-time help during your own interview, get Assisting AI from ₹500/day.

How would you partition by department to get the highest paid employee in each department?🟡 Medium · Conceptual · Asked 1×So what about Dave? His salary was 90,000 rupees. How would that affect the result of the highest-paid-per-department query?🟡 Medium · Conceptual · Asked 1×What is the difference between partitioning and partition key in a data warehouse?🟡 Medium · Conceptual · Asked 1×What is pruning in Snowflake, and how does it differ from partitioning and clustering? Is clustering mandatory for pruning?🟡 Medium · Conceptual · Asked 1×Where can I find Snowflake’s data‑skipping feature, and how is it related to partitioning and moving to reduce the number of partitions?🟡 Medium · Conceptual · Asked 1×Is partitioning a narrow or wide transformation in Spark?🟡 Medium · Conceptual · Asked 1×Is groupBy a wide partitioning operation in Spark?🟡 Medium · Conceptual · Asked 1×When writing CSV files in Spark, how does the partitioning strategy work? How many partitions are created? Do we need to apply any logic behind it, or is it random or default? Should we let Spark decide the number of partitions, or can we set a custom partitioning strategy? Provide an example.🟡 Medium · Conceptual · Asked 1×How does Parquet partitioning work for 100 to 200 GB of data? What is the logic behind the job?🟡 Medium · Conceptual · Asked 1×What is the default partition size in Spark, and how can it be configured?🟢 Easy · Conceptual · Asked 1×What is the difference between repartition and coalesce?🟡 Medium · Conceptual · Asked 1×

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