SQL questions from Virtusa data engineering interviews.
These sql questions are sourced from Virtusa data engineering interviews. Each includes an expert-level answer. This set leans toward fundamentals — 4 easy, 3 medium, and 0 hard questions. Recurring themes are partition, window, and etl — these patterns appear most often in real interviews and reward the deepest preparation. Many of these questions also surface at FedEx Dataworks and Nihilent, so the preparation transfers across companies. Average answer is around 1 minute of reading — plan roughly 1 hour to work through the full set thoughtfully.
This collection contains 7 curated questions: 4 easy, 3 medium. There's a strong foundation of fundamentals-focused questions — ideal for building confidence before tackling advanced topics.
The most frequently tested areas in this set are partition (2), window (2), etl (1), sql (1), python (1), and spark (1). Focusing on these topics will give you the highest return on your preparation time.
Start with the easy questions to warm up and solidify fundamentals. Medium-difficulty questions form the bulk of real interviews — spend the most time here and practice explaining your reasoning out loud. For each question, try answering before revealing the solution. Use our AI Mock Interview to simulate real interview conditions and get instant feedback on your responses.
Explain the types of triggers in ADF, including schedule, tumbling window, and event-based triggers.
Can you chain multiple triggers for a single pipeline?
Can you provide a use case where Assert Transformations helped maintain data quality?
How do partitioning strategies differ between source and sink?
How do tumbling window triggers ensure data consistency in batch processing?
How do you integrate with an on-premises SQL Server without using SHIR?
What are Assert Transformations, and where are they used?
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