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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. A dbt deployment pipeline fails on the production environment, yet everything works as intended in development and staging. Which areas would you investigate when troubleshooting?

A) Ensure consistency of dependency versions across different environments-
B) Verify the credentials and connection details between production and other environments in your profiles-yml.
C) Consider schema differences, if any between the production data warehouse and other environments.
D) Check if all required permissions are granted to the dbt user on the production database.

2. You've defined several source models using .yml files within your models directory. When you run dbt compile, they don't appear in the DAG visualization. What's the MOST likely cause?

A) The source definitions require additional schema tests to be valid.
B) The source tables are missing appropriate permissions in your database.
C) You haven't used the ref() function correctly within your source models.
D) You haven't explicitly configured these sources in your dbt_project.yml file.

3. You need to grant readonly access to the results of your dbt project to stakeholders outside your team. Considering security, which approach would be the MOST suitable?

A) Regularly run dbt seed to export CSV files, which are then shared with stakeholders.
B) Create a designated reporting schema and set up views that map to the dbt model outputs
C) Embed dbt model results within a Bl dashboard and manage access through the Bl tool.
D) Have stakeholders directly query the dbt models, providing access to the production data warehouse.

4. You're merging changes from a feature branch into your main branch. Which of the following Git commands or strategies help keep a clean and easy-to-follow project history?

A) Employing git squash merge for condensing feature branch commits.
B) All of the above can be valid strategies, each with different trade-offs.
C) Utilizing git rebase main before merging to linearize the history.
D) Using git merge to create a merge commit.

5. You're setting up a new dbt project on a recently provisioned data warehouse. What actions are essential before your initial development begins?

A) All of the above
B) Defining and implementing a schema and naming conventions for your dbt models within the data warehouse.
C) Configuring monitoring and alerting to track data warehouse usage and events related to dbt jobs
D) Establishing access controls and user roles specific to the dbt project's requirements.

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