Real questions from top companies · hard
Explain the architecture and role of the Hive Metastore in a data pipeline
Explain the architecture of Databricks, including the control plane and data plane.
Explain the architecture of Kafka
Explain the architecture of Kafka and its core components.
Explain the architecture of Spark Streaming
Explain the architecture of Spark, including its components such as driver, executor, and cluster manager.
Explain the architecture of Spark, including the roles of driver, executors, DAGs, and SparkContext.
Explain the benefits of using columnar storage formats like Parquet or ORC.
Explain the concept of consumer groups in Kafka. How do they affect message processing?
Explain the concept of preemptible VMs in Dataproc and their cost implications.
Explain the configuration of a Spark cluster for optimal performance
Explain the difference between TriggerDagRunOperator and ExternalTaskSensor in Airflow.
Explain the differences between Spark's shuffle and broadcast join. When would you use each?
How did you handle data ingestion and processing for large datasets?
How do you resolve merge conflicts in Databricks notebooks?
How do you set up CI/CD for a PySpark ETL workflow?
How do you store streaming data in Delta Lake and handle schema evolution?
How do you use Spark UI to debug stages, tasks, and performance issues?
How does Adaptive Query Execution (AQE) work?
How does Auto Loader avoid reloading files with the same name?
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