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Updated: Jun 03, 2026

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dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. The dataset you work with contains personally identifiable information (PII). Which types of additional tooling might be necessary for your project beyond a core dbt implementation?

A) Automated ETL pipelines
B) Data masking or tokenization solutions.
C) Advanced statistical modeling tools.
D) Enhanced data access governance and auditing tools.


2. You're working with a model that aggregates data across many countries. Which assumption about the data might be especially important to test for and handle in your model logic?

A) Encoding formats (UTF-8, etc.) may be inconsistent across source systems.
B) The presence of unexpected HTML tags within textual data fields.
C) Different regions may use varying currency exchange rates.
D) Time zones and daylight savings rules for timestamps could differ between data sources.


3. You're refactoring a project with long model files containing intertwined logic. Which of the following is NOT a typical sign of a good candidate for applying modularity principles?

A) The same SQL patterns are repeated with minor variations.
B) The models are relatively small and perform simple transformations.
C) Portions of the logic form distinct conceptual steps in the transformation process.
D) Renaming code blocks would improve readability.


4. You frequently need to debug model failures mid-DAG during development. Which of the following dbt features would be MOST helpful in this scenario?

A) dbt snapshots
B) Macros for modularizing SQL code
C) The dbt test command
D) The dbt run -fail-fast flag


5. 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) Within the model's SQLi write logic to insert the output data into a dedicated reporting table-
B) Develop a separate script, triggered after the dbt job, to handle report generation and emailing-
C) Modify the model to output a CSV file and schedule a task to email the file as an attachment
D) Write a post-hook that queries the model, formats the results, and sends the email.


Solutions:

Question # 1
Answer: B,D
Question # 2
Answer: A,C,D
Question # 3
Answer: B
Question # 4
Answer: D
Question # 5
Answer: A,B,D

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