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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| dbt Core Concepts | - Models and materializations
|
| Testing and Data Quality | - Built-in and custom tests
|
| Documentation and Lineage | - dbt documentation system
|
| Analytics Engineering Foundations | - Modern data stack concepts (ELT vs ETL)
|
| Deployment and Orchestration | - Running dbt in production
|
dbt Labs dbt Analytics Engineering Certification Sample Questions:
A project stakeholder requests access to an intermediate stage of a dbt transformation pipeline to validate specific calculations.
You need to weigh this request carefully because:
- A. Raw data, development data, and production data often have different levels of data quality, completeness, and timeliness.
- B. Granting access to intermediate data may confuse stakeholders who are not familiar with the full transformation process-
- C. Exposing intermediate results can lead to premature analysis based on incomplete data.
- D. All of the above-
Correct Answer: C 🗳️
Explanation: Only visible for DumpExam members. You can sign-up / login (it's free).
dbt Model Snippet
- A. The presence of filters on the source fct_orders or dim_customers.
- B. The logic contained within a custom macro.
- C. The ref() functions arent correctly resolving dependencies.
- D. The underlying data types of o.customer_id and c.customer_id mismatch.
Correct Answer: A 🗳️
Explanation: Only visible for DumpExam members. You can sign-up / login (it's free).
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. Modify the model to output a CSV file and schedule a task to email the file as an attachment
- 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.
Correct Answer: A,C,D 🗳️
Explanation: Only visible for DumpExam members. You can sign-up / login (it's free).
You debug a production issue by running a model in a testing environment with additional logging output. Which dbt features or command-line additions would facilitate this?
- A. Custom dbt flags (using -vars) to control the logging level of the SQL execution.
- B. Environment variables to conditionally enable verbose logging macros inside the model.
- C. The -warn-error flag to treat warnings as errors, making your run fail louder on potential issues.
- D. dbt hooks to redirect model-related logs to a centralized logging platform.
Correct Answer: A,B,C 🗳️
Explanation: Only visible for DumpExam members. You can sign-up / login (it's free).
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. Advanced statistical modeling tools.
- B. Automated ETL pipelines
- C. Enhanced data access governance and auditing tools.
- D. Data masking or tokenization solutions.
Correct Answer: C,D 🗳️
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