Databricks-DE-Pro › Data Transformation, Cleansing, Quality

Data Transformation, Cleansing, Quality Practice Questions

This domain covers building reliable transformations on Databricks: cleansing and validating data, handling skew and nested types, and enforcing quality in Delta Lake and Lakeflow Spark Declarative Pipelines. Questions present concrete scenarios—self-joins on skewed tables, clickstream STRUCT columns, JSON sensor ingestion, and MERGE constraint violations—and ask you to choose the correct technique or predict default behavior.