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dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You have an urgent hotfix that needs to be deployed while a larger feature branch is still under review. Which strategies could you consider?

A) Merge the hotfix into the main branch and then rebase the feature branch on top of the new main branch.
B) Temporarily revert the feature branch changes, deploy the hotfix, and then restore the feature branch.
C) Create a dedicated branch from the main branch specifically for the hotfix.
D) Merge the hotfix into the feature branch and wait for the entire feature to be approved.

2. You notice that long descriptions within sources.yml cause formatting issues when viewing the docs, making them hard to read. What strategies could you employ to mitigate this?

A) Use a third-party dbt package that enhances the presentation of source descriptions in documentation.
B) Enforce a strict character limit on source descriptions-
C) Utilize Markdown within your descriptions to improve readability with headings and line breaks-
D) Split your source description into multiple properties (e.g., description_short and description_long)

3. Your dbt project contains models that process data with varying levels of sensitivity. Which of the following might be reasons to utilize different schemas or even different targets within your data warehouse for these data sensitivity levels?

A) All of the above-
B) To implement stricter access controls limiting which users or roles can interact with sensitive data-
C) To comply with data governance regulations that mandate separation of different data types.
D) To optimize query performance, as certain models might benefit from specific data warehouse configurations based on their workload.

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

5. Business requirements call for a report ranking products based on year-over-year (YoY) revenue growth. Historical data must be preserved. What's a potential issue in implementing this directly in a dbt model?

A) Views cannot perform complex date manipulation required for YoY calculations.
B) ref() functions can hinder performance when working with historical data.
C) Data warehouses might not be optimized for period-over-period comparisons.
D) Incremental materializations aren't suitable for trend analysis.

Solutions: