Data Ingestion & Acquisition — Databricks Certified Data Engineer Professional

The official DATABRICKS documentation our Data Ingestion & Acquisition practice questions are cited to. Review the primary sources, then practise.

Official references for this objective

Databricks — Building End-to-End ingestion with Lakeflow Connect | Databricks

SaaS sources like Salesforce and Workday, plus how community connectors extend Lakeflow Connect to sources with no out-of-the-box connector
Databricks — Petabytes in Plain Sight: Extending Databricks to the On-Prem Data You Already Have | Databricks

Databricks queries on-prem tables directly, in place with full governance retained by the data owner
Databricks — Secure External Data Access with Connections, Secrets, and Functions in Unity Catalog | Databricks

Unity Catalog Connections, Secrets and Functions work in concert to centralize external data access, eliminate hardcoded credentials, and deploy governed UDFs
Databricks — Accelerating Corteva’s Data Source Onboarding With Lakeflow | Databricks

Lakeflow Connect, Spark Declarative Pipelines and Jobs make pipeline runs repeatable and config‑driven
Databricks — Lakeflow Connect: Cutting Enterprise Ingestion Costs by up to 90% on Databricks | Databricks

connector selection, OAuth setup, DLT pipeline config, object selection, Unity Catalog destination mapping, CDC monitoring, and production scheduling