~/dbtlabs-analytics-engineer-certification-exam · Managing dbt models governance ▊

DBTLABS · objective · 15% of the exam

Managing dbt models governance — dbt Analytics Engineering Certification Exam

The official DBTLABS documentation our Managing dbt models governance practice questions are cited to. Review the primary sources, then practise.

Official references for this objective

Getdbt — A dbt "logic mesh" with packages: standard model and metrics across 25 autonomous organizations | dbt Summit

a three-layer dbt package architecture: source packages for governed inputs, a local logic layer for office-specific transformations, and a standard data model for shared metrics
Getdbt — A practitioner's guide to federated dbt Mesh at scale with Data Project Factory | dbt Summit

an internal, automated GitOps engine that provisions a fully isolated, secure, and production-ready dbt stack, so you can roll out data quality gates and workflows
Getdbt — Why and how to adopt dbt Cloud - Data documentation | dbt Labs

ensure that your models are documented so your business logic is captured and shareable