Interview questions · hard
Explain the trade-offs between batch and real-time data processing. Provide examples of when each is appropriate.
Share experiences of quickly adapting to new technologies and tools in evolving project requirements.
Design a solution to generate unique device names from a list of IoT devices.
Implement an algorithm to find the longest ordered subsequence of vowels in a given string.
Consolidate hotel reviews and create a dashboard. Design a data model for the reviews.
Review Kafka fundamentals and concepts.
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.
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