Databricks Related Exams
Databricks-Certified-Professional-Data-Engineer Exam
A data architect is designing a Databricks solution to efficiently process data for different business requirements.
In which scenario should a data engineer use a materialized view compared to a streaming table ?
A data engineer is designing a Lakeflow Declarative Pipeline to process streaming order data. The pipeline uses Auto Loader to ingest data and must enforce data quality by ensuring customer_id and amount are greater than zero. Invalid records should be dropped.
Which Lakeflow Declarative Pipelines configurations implement this requirement using Python?
When scheduling Structured Streaming jobs for production, which configuration automatically recovers from query failures and keeps costs low?