This practice set covers ETL Transformations using PySpark & SQL, a core component of the Databricks Certified Data Engineer Associate exam. Each question has been industry-vetted to help you validate your readiness for exam-day scenarios involving data transformations and SQL operations.
Test your knowledge across essential ETL and transformation concepts:
- Data source integration including JDBC connections and table creation with external sources
- Table operations covering metadata management, comments, and table properties for PII compliance
- Data transformation techniques such as PIVOT, EXPLODE, and JSON parsing with from_json
- SQL operations including set operations like INTERSECT, aggregation functions, and user-defined functions
- Temporary views and global temporary views for cross-session data analysis
What makes this different:
- Detailed explanations showing why correct answers work and why alternatives don't
- Documentation links to reinforce your understanding
- Real-world scenarios reflecting actual exam complexity
Use this practice set to confirm your ETL knowledge and identify areas needing attention before exam day.
TM
