Cloud & Tools questions from Nihilent data engineering interviews.
These cloud & tools questions are sourced from Nihilent data engineering interviews. Each includes an expert-level answer. This set leans toward fundamentals — 4 easy, 1 medium, and 1 hard questions. Recurring themes are spark, join, and partition — these patterns appear most often in real interviews and reward the deepest preparation. Average answer is around 1 minute of reading — plan roughly 1 hour to work through the full set thoughtfully.
This collection contains 6 curated questions: 4 easy, 1 medium, and 1 hard. 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 spark (3), join (1), partition (1), and sql (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. Hard questions often appear in senior and staff-level rounds; attempt them after you're comfortable with the basics. 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.
Difference between pipelines and data flows in ADF
Fabric dataflows vs. ADF dataflows
Fabric pipelines vs. ADF pipelines
Running multiple notebooks - dbutils.notebook.run()
Types of Integration Runtimes (IR) - self-hosted, Azure, SSIS
Unity Catalog - role in managing and securing data
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