Can you explain the architecture of Apache Spark and its components?
Spark/Big Datahard
2
Prioritize Spark optimizations by impact and effort. Discuss partitioning strategy, caching policy, join selection, shuffle reduction, and when each becomes a scalability or cost bottleneck.
Spark/Big Datahard
3
Explain the difference between batch and streaming data processing in Data Fusion.
Spark/Big Datahard
4
What's your approach to data versioning in a data lake?
System Design/Architecturehard
5
Articulate the architectural decisions, scalability trade-offs, and cost implications of designing an AWS data platform. How would you justify glue vs. EMR, Redshift vs. Athena, and when would each choice become cost-prohibitive at scale?
SQLhard
6
Explain the role of DAGs (Directed Acyclic Graphs) in Spark.
Spark/Big Datahard
7
How would you design a scalable data ingestion pipeline?
System Design/Architecturehard
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