Interview questions · hard
How would you ensure exactly-once processing for Kafka consumers in your Spark job?
How would you handle memory management in Spark?
How would you manage the streaming data schema and handle schema evolution in Delta Lake?
How would you optimize your Spark Streaming ETL pipeline for high throughput and low latency?
Spark Executor Management: 10 workers, 100GB RAM, 25 cores - number of executors, size, OOM in Driver
What role would Kafka or similar event-driven platforms play in your architecture?
Design an e-commerce platform like Flipkart
How does Presto fetch data from a data catalog?
How would you design the architecture to handle high availability and scalability?
How would you ensure the system can handle millions of concurrent users?
How would you set up an alert system to monitor your ETL pipeline for failures or performance issues?
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