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dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. A pull request includes changes to both dbt models and configuration files in your dbt_project.yml file. During the merge, conflicts arise in the configuration file. How would you approach resolving these conflicts?

A) Utilize Git's merge conflict markers to carefully combine changes in the configuration file.
B) Give priority to the model changes and manually edit the configuration file after.
C) Request a separate, smaller pull request dedicated to the configuration changes to isolate the conflict.
D) Ask the author of the pull request to rebase their changes and resolve the configuration conflict in their branch.

2. You write a macro to dynamically create a filter string and apply it within a model as follows:SQL

A) You cannot dynamically apply filters using Jinja; they must be hardcoded in your model's SQL.
B) The macro templating incorrectly nests single and double quotes.
C) The database doesn't support comparison of the data type of the region column with a string value.
D) The generate_filter macro should be placed within a separate macros directory, not inline in the model.

3. You discover that dbt models create objects with the default database user's permissions. However, a policy mandates that analytics objects must be owned by a dedicated, less privileged account. How could you adapt your dbt workflow?

A) Implement pre-hooks or post-hooks to execute ALTER OWNER statements after model creation.
B) Write dbt macros that contain permission management logic as part of the model deployment.
C) Configure the target database to automatically assign desired ownership to new objects in the schema
D) Modify your dbt profile to use the less privileged account's credentials during job execution.

4. You're ready to integrate your feature branch into the main branch. Which scenarios would necessitate a pull request and code review process?

A) You are the only contributor to the dbt project.
B) In all dbt projects, pull requests should be mandatory.
C) You are working in a collaborative team environment with established quality control practices.
D) You are working on a personal dbt project.

5. (Multiple Select)

A) Switch the model materialization from 'view' to 'table'.
B) Implement a custom data test to specifically check the column for null values.
C) Examine the source data for the model to verify the presence of expected values.
D) Add intermediate CTEs within the model's SQL to inspect data at different transformation stages.

Solutions: