Cloud & Tools questions from Capco data engineering interviews.
These cloud & tools questions are sourced from Capco data engineering interviews. Each includes an expert-level answer. This set leans toward fundamentals — 13 easy, 6 medium, and 4 hard questions. Recurring themes are partition, etl, and spark — 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 23 curated questions: 13 easy, 6 medium, and 4 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 (9), etl (3), spark (2), optimization (2), airflow (1), and bigquery (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.
Describe a real-world use case for using Step Functions with Lambda in a data workflow.
Describe using Step Functions to handle retries and error notifications.
Explain how Access Control Lists (ACLs) can affect IAM role permissions.
Explain how Step Functions integrate with other AWS services.
Explain how using a staging area in S3 can help.
Explain the role of Glue Catalog in Athena.
Explain using AWS Glue for ETL. What challenges might you face with large datasets?
Explain using IAM roles for secure cross-account access to an S3 bucket.
How do you ensure message ordering in Kinesis Streams?
How does the trust relationship policy in IAM roles work?
How would you configure Spot Instances for a resilient EMR cluster?
How would you handle a situation where an EMR cluster fails mid-job?
How would you monitor a data pipeline in AWS to ensure SLA compliance?
How would you pass data between Lambda functions in Step Functions?
How would you use Amazon Glue to merge small files?
What alternatives to Kinesis would you consider for real-time data ingestion?
What are the differences between SSE-S3, SSE-KMS, and SSE-C encryption?
What are the pricing models for queries in Athena?
What integration challenges might you face with Glue Catalog in non-AWS environments?
What metrics would you track in CloudWatch for a Kinesis-based pipeline?
What role does Amazon Macie play in securing sensitive data in S3?
What steps would you take to secure data stored in S3?
What types of queries would not be efficient in Athena?
Get full access to 1,800+ expert answers, AI mock interviews, and personalized progress tracking.