DP-750 Exam Guide: Slowly Changing Dimensions and Data Quality in Azure Databricks

Microsoft's DP-750 Azure Databricks Data Engineer Associate certification requires candidates to understand Slowly Changing Dimensions (SCD) and data quality expectations in Lakeflow Spark Declarative Pipelines. SCD Type 1 overwrites existing dimension records without preserving history, making it suitable for correcting data-entry errors or when only the latest value is needed. SCD Type 2 retains full history by adding a new row for each change while marking the old row as inactive, which is used when analysts need to track changes over time. Lakeflow Spark Declarative Pipelines supports both CDC and SCD patterns, with Type 2 implementable via the AUTO CDC INTO syntax in Lakeflow SQL. Exam questions Q36, Q55, Q57, Q76, Q77, and Q78 are identified as directly testing these SCD decision patterns.
This is an AI-generated summary. ShortSingh links to the original source for the complete article.



Discussion (0)
Log in to join the discussion and vote.
Log in