Questions that have appeared at Databricks for an Engineering (Case Study) interview.

1. Big Data Processing

Question: Can you explain the difference between batch processing and stream processing and provide a scenario where each one would be most beneficial?

Question: How would you handle processing of large amounts of data that can't fit into memory?

Question: What are some strategies you would use to optimize the performance of a big data processing job?

2. System Design

Question: Design a system that can handle real-time data processing and analytics for a popular social media platform. What components would this system have, and how would they interact?

Question: How would you design a distributed file system for a large-scale environment?

Question: How would you ensure scalability in a system that needs to process increasing amounts of data?

3. Data Security

Question: What would be your approach to ensure the secure processing of sensitive data in a big data environment?

Question: Describe how you would implement data encryption in a distributed processing system?

Question: Explain how you would handle a situation in which a potential data breach is detected?

4. Data Pipeline

Question: Can you describe a data pipeline you've worked on, and explain how you ensured that data was processed accurately and efficiently?

Question: How can you ensure the reliability and fault-tolerance of a data pipeline?

Question: How would you handle data inconsistencies or data loss during the data processing in a pipeline?