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The Databricks Certified Data Engineer Associate exam evaluates a candidate’s ability to use the Databricks Data Intelligence Platform to perform foundational data engineering tasks. This includes understanding the platform’s architecture, workspace, and core capabilities, as well as developing and ingesting data using Apache Spark SQL or PySpark. The exam assesses skills in building and transforming data pipelines—handling complex data structures, applying transformations, and using user-defined functions—along with deploying, orchestrating, and scheduling production workloads using Databricks Workflows. Candidates are also tested on applying data governance and quality best practices to ensure reliable and well-managed data pipelines within Databricks.
This exam covers:
Databricks Intelligence Platform – 10%
Development and Ingestion – 30%
Data Processing and Transformations – 31%
Productionizing Data Pipelines – 18%
Data Governance and Quality – 11%
