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Interview Questions

Real questions from top companies

700+ Easy450+ Medium650+ Hard
All CategoriesBehavioralSpark/Big DataSQLPython/CodingSystem Design/ArchitectureCloud/ToolsGeneral/Othereasymediumhard
1401

Explain Delta Live Tables and their features, such as declarative pipeline definition and automatic data validation.

Spark/Big Datahardoptimizationpartitionpython0.7 min read
TCS
β†’
1402

Explain Delta Table features – Z-ordering and Time Travel.

Spark/Big Datahardoptimizationpartition0.8 min read
Datametica
β†’
1403

Explain Delta Time Travel and the purpose of the vacuum command.

Spark/Big Datahardoptimizationpartitionspark0.7 min read
PWC
β†’
1404

Explain Hive, its purpose, and its default metadata storage.

Spark/Big Datahardetloptimizationpartition0.7 min read
Chryselys
β†’
1405

Explain MapReduce Architecture.

Spark/Big Datahardoptimizationpartitionspark3.5 min read
HCL
β†’
1406

Explain PySpark's Catalyst Optimizer.

Spark/Big Datahardjoinoptimizationpartition0.6 min read
Incedo
β†’
1407

Explain SCD1 and SCD2 in Databricks PySpark with examples.

Spark/Big Datahardjoinoptimizationpartition0.6 min read
Hexaware
β†’
1408

Explain Spark Architecture – Driver, Executors, and Tasks.

Spark/Big Datahardoptimizationpartitionspark3.6 min read
Datametica
β†’
1409

Explain Spark transformations (lazy evaluation, wide vs narrow).

Spark/Big Datahardjoinoptimizationpartition0.6 min read
Apple
β†’
1410

Explain Spark's execution process – Job/Stage/Task creation.

Spark/Big Datahardjoinoptimizationpartition0.6 min read
Datametica
β†’
1411

Explain Spark's narrow vs. wide transformations and when to use each

Spark/Big Datahardjoinoptimizationpartition0.5 min read
Morgan Stanley
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1412

Explain a scenario-based question on Spark optimization and how you would troubleshoot performance issues.

Spark/Big Datahardjoinoptimizationpartition0.6 min read
American Express
β†’
1413

Explain aggregation functions in PySpark with examples and use cases.

Spark/Big Datahardoptimizationpartitionspark0.5 min read
Hexaware
β†’
1414

Explain caching techniques in Databricks.

Spark/Big Datahardoptimizationpartition0.6 min read
Incedo
β†’
1415

Explain data encryption in Databricks, both at rest and in transit.

Spark/Big Datahardoptimizationpartition0.6 min read
TCS
β†’
1416

Explain database drivers/connectors and their use cases.

Spark/Big Datahardoptimizationpartitionpython0.6 min read
Gartner
β†’
1417

Explain how Glue's Spark-based architecture handles data parallelism.

Spark/Big Datahardetloptimizationpartition3.5 min read
Capco
β†’
1418

Explain how HDFS (Hadoop Distributed File System) stores data across nodes.

Spark/Big Datahardoptimizationpartition0.6 min read
BCG
β†’
1419

Explain how I handle performance optimizations, scheduling tasks, and monitoring DAGs in Airflow.

Spark/Big Datahardairflowoptimization0.6 min read
S&P Global
β†’
1420

Explain how Kafka handles real-time data streaming and guarantees message delivery.

Spark/Big Datahardoptimizationpartition0.5 min read
Swiggy
β†’

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