General questions from Capco data engineering interviews.
These general questions are sourced from Capco data engineering interviews. Each includes an expert-level answer. This set leans toward fundamentals — 11 easy, 2 medium, and 1 hard questions. Recurring themes are partition, airflow, and optimization — 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 14 curated questions: 11 easy, 2 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 partition (2), airflow (1), optimization (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. 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.
Explain how Bucket Policies differ from IAM Policies.
How do bucket policies handle the Principal element for cross-account roles?
How does Versioning impact replication behavior?
How would you ensure data consistency between the source and destination regions?
How would you implement custom alarms for data delays or job failures?
What are the advantages of using Wait and Choice states?
What are the benefits of the COPY command's MANIFEST option?
What are the cost implications of cross-region replication?
What are the cost implications of using Standard-IA for archiving?
What are the security risks of using overly permissive role policies?
What are the trade-offs between Concurrency Scaling and using Reserved Instances?
What is the impact of multipart uploads on lifecycle policies?
What role does the Instance Fleet configuration play in cost optimization?
What types of instance types would you choose for cost efficiency?
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