dbt Analytics Engineering

No. This is an independent study resource and is not affiliated with or endorsed by dbt Labs. We do not reproduce official exam content. For authoritative registration, scheduling, and policy information, use the certification link published in the dbt Labs site footer, which points to their own certification page.

We could not confirm these figures. The official certification pages returned errors when we retrieved them, so item counts and time limits are listed as unconfirmed rather than guessed. Check the provider's certification page directly before you schedule, and plan your practice timing around the format they publish.

Unconfirmed. Passing scores and fees are not published in the material we could verify, so we have left them blank instead of carrying forward figures that may be out of date. Pricing and pass thresholds change, so confirm both on the official certification page at the time you register.

Our study plan follows four equally weighted domains: modelling and transformation with dbt; sources, tests, and data quality; documentation, lineage, and governance; and deployment, orchestration, and project configuration. Expect scenario questions that ask you to choose the right configuration, test, or command for a described project situation rather than recall definitions.

Candidates with real project experience generally find the concepts familiar; the difficulty is in precision. Common failure modes are confusing generic versus singular tests, misremembering which layer a configuration belongs in, and mixing up source freshness with data tests. Practise reading project files and predicting behaviour before you run anything.

Start with modelling and transformation, since materialisations, refs, and project structure underpin everything else. Then move to sources and tests, which depend on knowing how models are built. Documentation and governance follows naturally once models and tests exist. Finish with deployment and orchestration, where environment configuration and scheduling assumptions matter most.

Retake rules are unconfirmed. The provider's certification page is the only reliable source for retake eligibility, waiting periods, and any associated costs. Do not rely on secondhand accounts, since policies are revised over time. Check before you book your first attempt so you know what happens if you need a second one.

Work in a real dbt project rather than reading only. Build staging and mart models, declare sources and add tests, generate documentation and inspect lineage, then run deployments through a scheduler. Pair that with the official dbt documentation linked from the dbt Labs site, and rehearse explaining why a given configuration produces a given result.

Unconfirmed. Validity periods are not stated in the material we could verify, so we have not published a number. Confirm the current validity term and any recertification requirements on the official certification page before you rely on the credential for a role or client requirement.