← dbt Analytics Engineering Certification Exam
DBTLABS · objective · 14% of the exam
Troubleshooting and optimizing dbt pipelines — dbt Analytics Engineering Certification Exam
The official DBTLABS documentation our Troubleshooting and optimizing dbt pipelines practice questions are cited to. Review the primary sources, then practise.
Official references for this objective
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Getdbt — {SOLD OUT} Operationalize cost visibility in dbt | dbt Summit
Explain common cost drivers in analytics workloads (over-refreshing, inefficient transformations, poorly designed rebuild patterns)
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a concrete scoring formula for dbt model performance, a pattern for attributing Snowflake credits to individual data products
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Getdbt — From 14-hour batches and poor documentation to AI-ready data: Mitti's dbt rebuild | dbt Summit
Results: 90% reduction in execution time, AI BI adoption exceeding 50% across the business, and over US$140K in infrastructure cost savings.
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Getdbt — Rebuilding dbt Core in the open: Faster runtime, adapters, and docs v2 | dbt Summit
how to take a project from Core v1.x – via the v1.12 parser on‑ramp – to v2.0 with confidence
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Getdbt — Speed, simplicity, cost savings: Experience the dbt Fusion engine | dbt Labs
Catch errors instantly with live feedback and in-line Intellisense Build confidence in her models using column-level lineage