Top 50 delta lake Interview Questions
The most frequently asked delta lake questions across all roles and companies, ranked by real interview frequency. Updated daily.
Conceptual pipeline question on Delta Lake and how it differs from plain Parquet files in data engineering workflows.
Sopra Steria
Infinitive
Thinking Machines LabOptimize Databricks clusters for high-throughput ETL and choose sizing strategies that balance cost, latency, and stability.
HCLTechEEdenredDesign a safe schema evolution strategy for a large-scale data lake without breaking batch jobs, streaming consumers, or historical queries.
TXU Energy
CENISIS
WaymoExplain Delta Live Tables, pipeline execution, and how Spark parses, optimizes, and runs a query.
EPAM SystemsDesign an auditable Databricks pipeline that removes requested PII from all lakehouse layers and downstream data products.
DatabricksExplain Databricks fundamentals, Spark architecture, and how to select and optimize Spark join strategies.
v4c.aiAnswer Databricks SQL and PySpark transformation queries for ETL, incremental loads, and data quality at pipeline scale.
Persistent SystemsCompare Snowflake and Databricks for an ETL/ELT workload, including trade-offs in cost, performance, and orchestration.
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Validate, deduplicate, and summarize Adobe Analytics events loaded into Databricks.
JPMorganChaseCompare source and Databricks object counts to identify missing objects and row-count mismatches.
EPAM SystemsCompute daily agent call KPIs and SLA using joins, aggregations, and window ranking in a contact center model.
ADP