~/dbtlabs-analytics-engineer-certification-exam · Developing and optimizing dbt models ▊
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DBTLABS · objective · 15% of the exam
Developing and optimizing dbt models — dbt Analytics Engineering Certification Exam
The official DBTLABS documentation our Developing and optimizing dbt models practice questions are cited to. Review the primary sources, then practise.
Official references for this objective
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Getdbt — dbt Semantic Layer workshop: From models to metrics | dbt Labs
learn to set up entities, dimensions, and measures within your semantic models, and how to configure and use metrics effectively
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our approach to building "Domain Context as Code" by structuring web access log measurement designs (YAML) and integrating QA automation scenarios
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Getdbt — Building dbt models faster with Google AI | dbt Labs
dbt agent skills let you delegate real work, including scaffolding models, writing data quality tests, diagnosing failures, and running lineage impact analysis, all without leaving
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Getdbt — Modeling ERP data in dbt: Best practices for reliable reporting | dbt Labs
recording transactions and keeping operations running. Analytics is a different problem