Real questions from top companies in Spark/Big Data
Accumulators - use as shared variable for write-only operations
Adaptive Query Execution (AQE): Discuss how AQE optimizes query execution in Spark dynamically based on runtime stats.
After cleaning, how would you store the transformed data into Delta Lake?
Alternatives to the Medallion Architecture
Apache Spark Architecture - RDD, DAG, cluster manager, driver node, worker node
Apache Spark Fundamentals - discuss
Apache Spark Fundamentals - failures, job optimization, resource utilization
Approaches to handling multiple tasks within a sprint?
Basic Spark commands – Create RDD, Load data, Filter
Bloom Filters in Spark projects - explain use case
Broadcast Joins and Shuffle Merge Joins?
Broadcast join - how it optimizes joins
Cache vs. Persistent storage in Spark?
Cache() vs Persist(): Explain the difference and use cases for caching and persisting data in Spark with memory levels.
Calculating Databricks costs - explain DBU
Can Presto work with Near Real-Time Data (Streaming Data Source)?
Can you explain dynamic resource allocation in Spark? How does it help optimize job performance?
Can you explain how streams and tasks handle data freshness in near real-time?
Can you explain the concept of incremental loading in Sqoop and how to use it for job processing?
Can you explain the concept of mappers in Spark, and how are they used in data transformations?
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