dbt Labs dbt-Analytics-Engineering : dbt Analytics Engineering Certification Exam

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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. Which of the following scenarios might warrant you using the --no-compile flag with dbt docs generate? When you have syntax errors in your dbt models that would prevent compilation.

A) When you're deploying documentation updates to a production environment and want to minimize risks associated with model
B) recompilation.
C) When you want to quickly preview documentation changes without triggering a full model build.
D) When your CI/CD pipeline requires you to generate documentation as a separate step from model compilation.

2. You're integrating a new API-based data source. Select the most suitable way to incorporate this into your dbt project.

A) Utilize a dbt package tailored for the specific API, if available.
B) Write a dbt macro to encapsulate the API interaction logic.
C) Create a source with a loaded_at_field and write custom logic to snapshot API data.
D) Create a seed file to load the data directly into a table.

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

4. 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) Advanced statistical modeling tools.
C) Data masking or tokenization solutions.
D) Enhanced data access governance and auditing tools.

5. You suspect discrepancies in a critical model. To troubleshoot, you need to understand the order of model execution, but the DAG is complex. What would be the BEST strategy to get this information?

A) Visually inspect the manifest.json file.
B) Run dbt docs generate and inspect the generated documentation.
C) Use dbt Is -select
D) Manually trace the dependencies in your model files.

Solutions: