Real questions from top companies in Spark/Big Data
Calculating Databricks costs - explain DBU
Can Presto work with Near Real-Time Data (Streaming Data Source)?
Can you explain the concept of mappers in Spark, and how are they used in data transformations?
Can you share a time when you had to shift focus due to urgent tasks?
Code a simple PySpark job to read a JSON file, filter records, and write output in Parquet format.
Conceptualize and design a real-time streaming data pipeline end-to-end.
Create a DataFrame with default column types
Design an ETL pipeline using Kafka and Spark Streaming
Difference between Presto vs. Spark underlying architecture
Explain Azure Databricks architecture and its integration with other Azure services.
Explain Delta Live Tables and their features, such as declarative pipeline definition and automatic data validation.
Explain Delta Table features – Z-ordering and Time Travel.
Explain Delta Time Travel and the purpose of the vacuum command.
Explain Hive, its purpose, and its default metadata storage.
Explain MapReduce Architecture.
Explain PySpark's Catalyst Optimizer.
Explain SCD1 and SCD2 in Databricks PySpark with examples.
Explain Spark Architecture – Driver, Executors, and Tasks.
Explain Spark transformations (lazy evaluation, wide vs narrow).
Explain Spark's execution process – Job/Stage/Task creation.
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