Interview questions
Review Kafka fundamentals and concepts.
Write queries combining Joins and Group By operations.
Conceptualize and design a real-time streaming data pipeline end-to-end.
Explain Apache Spark fundamentals, OOM scenarios and their resolutions, optimization techniques, strategies for optimized joins, and handling data skewness with Key Salting techniques.
How can Docker be used to scale streaming data applications?
Build a banking system architecture from scratch, highlighting critical workflows, scalability, and data management strategies.
Demonstrate system design principles applied to BI solutions.
Design a project architecture visually and explain key components.
Discuss the deployment process for real-time applications using CI/CD pipelines.
Explain project architecture, technical contributions, and value delivered.
Type or paste your answer to any of these questions and our AI Coach scores it, highlights gaps, and rewrites it at FAANG quality. Free to try.