← Databricks Certified Data Engineer Professional
DATABRICKS · objective · 10% of the exam
Data Governance — Databricks Certified Data Engineer Professional
The official DATABRICKS documentation our Data Governance practice questions are cited to. Review the primary sources, then practise.
Official references for this objective
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Databricks — A Unified Approach to Data Exfiltration Protection and Egress Monitoring to Build Secure Agents | Databricks
a framework for categorizing protection controls across three levels: data platform, compute, and storage
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Databricks — Agent Ready Data Governance: Databricks on Databricks | Databricks
moving beyond simple access control lists (ACLs) to a model where Unity Catalog provides deep semantic context, usage constraints and "rules of the road" that
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Databricks — Building Intelligent Data Discovery with Unity Catalog: Domains and Discover | Databricks
how Domains provide a business-aligned governance layer, how Discover Page curates trusted data and insights across the account
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Databricks — Building Secure Retail Data Sharing at Walmart with Databricks OpenSharing | Databricks
how Databricks OpenSharing and Databricks Clean rooms can be used to build governed, privacy-aware data-sharing solutions that unlock transaction, customer, inventory, and performance insights
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Databricks — Data Interoperability with Unity Catalog | Databricks
using Databricks Unity Catalog as a unified governance layer, using both Delta and Iceberg open table formats. Participants will learn to implement, manage and optimize
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Databricks — From SIEM to Data Platform: Scaling Threat Detection with Lakewatch, Unity Catalog, and AI at Adobe | Databricks
detection rules are migrated into version-controlled YAML with automated testing and backtesting gates, enabling repeatable and auditable development