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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Models | 25% | - Sources and references - Seeds - Writing and managing SQL models - Materializations (table, view, ephemeral, incremental) - Snapshots |
| Topic 2: dbt Fundamentals | 15% | - dbt Core vs dbt Cloud - dbt project structure - dbt workflow and best practices |
| Topic 3: Data Transformation Techniques | 25% | - Common table expressions and subqueries - Jinja templating - Refactoring and incremental models - Macros and packages |
| Topic 4: Deployment and Orchestration | 15% | - CI/CD with dbt Cloud - Environments (dev, staging, prod) - Git version control integration - Jobs and scheduling in dbt Cloud |
| Topic 5: Testing and Documentation | 20% | - Documentation generation - Custom data tests - Schema tests (unique, not_null, accepted_values, relationships) - dbt docs and DAG visualization |
dbt Labs dbt Analytics Engineering Certification Sample Questions:
A source table is updated with a full overwrite every night. Your dbt job fails due to freshness checks. What's a likely cause and solution?
- A. The freshness check is misconfigured- Adjust the count and period settings.
- B. The loaded_at field is absent Add the corresponding column or remove the check-
- C. You need to schedule the dbt job to run after the nightly update.
- D. The source uses an incremental materialization. Change it to a 'table'
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While reviewing a dbt project, you notice a pattern where ref() calls are chained together:
Model A references Model B, which in turn references Model C.
What's a potential downside of this pattern?
- A. Decreased performance due to unnecessary materializations.
- B. Model dependencies become harder to track and understand.
- C. Test results might become less reliable.
- D. Version control conflicts become more likely.
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A new stakeholder needs to receive an email report generated from the results of a specific dbt model. Unfortunately, your Bl tool doesn't directly integrate with dbt. How could you address this?
- A. Modify the model to output a CSV file and schedule a task to email the file as an attachment
- B. Within the model's SQLi write logic to insert the output data into a dedicated reporting table-
- C. Develop a separate script, triggered after the dbt job, to handle report generation and emailing-
- D. Write a post-hook that queries the model, formats the results, and sends the email.
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You write a macro to dynamically create a filter string and apply it within a model as follows:SQL
- A. The database doesn't support comparison of the data type of the region column with a string value.
- B. You cannot dynamically apply filters using Jinja; they must be hardcoded in your model's SQL.
- C. The generate_filter macro should be placed within a separate macros directory, not inline in the model.
- D. The macro templating incorrectly nests single and double quotes.
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Which two configuration items can be defined under models: in your dbt_project.yml file?
Choose 2 options.
- A. target
- B. tags
- C. source
- D. schema
- E. test
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