Real questions from top companies in Spark/Big Data · hard
Can Presto work with Near Real-Time Data (Streaming Data Source)?
Can you explain how streams and tasks handle data freshness in near real-time?
Challenges with Spark Jobs and Resolutions
Compare Hadoop and Spark. Which one would you choose for a real-time application, and why?
Compare Kafka Streams and Spark Structured Streaming for real-time processing
Compare Kafka and RabbitMQ for real-time message processing in a streaming platform.
Conceptualize and design a real-time streaming data pipeline end-to-end.
Databricks - platform, use cases
Define what a User-Defined Function (UDF) is and how to register it in PySpark.
Delta Lake: ACID compliance, time travel, streaming support
Describe how you would monitor ETL job performance and handle long-running tasks.
Describe how you would optimize a join between two large tables where one is significantly smaller, using broadcast joins in PySpark.
Describe how you would optimize slow-running Spark jobs in a distributed environment.
Describe the projects emphasizing Spark, Hadoop, or Azure for large-scale data processing
Describe the role of a DAG Scheduler in PySpark
Describe the stages of a Spark job and strategies to optimize Spark performance for large datasets.
Design an ETL pipeline using Kafka and Spark Streaming
Difference between Presto vs. Spark underlying architecture
Discuss common transformations used in Spark code.
Discuss file formats (Parquet, Avro, ORC) and storage strategies.
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