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dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You want to trigger a dbt job immediately upon successful completion of an upstream ETL process. Which methods could achieve this?

A) Using dbt Cloud's webhooks to create an endpoint that your ETL process can call.
B) Scheduling a dbt job with a very frequent interval (e.g., every 5 minutes) to poll for changes in a metadata table.
C) Using the dbt build command to run all dependent models after a successful dbt run.
D) Configuring the ETL process to send a completion notification to your CIICD tool, triggering the dbt job.

2. Which of the following scenarios might warrant a git rebase instead of a standard git merge when integrating your changes into the main branch?

A) You want to avoid a merge commit and keep a linear project history.
B) You need to resolve complex merge conflicts that arise during a standard merge.
C) Your branch has diverged significantly from the main branch with unrelated changes.
D) You only want to include a subset of your feature branch commits in the main branch.

3. You're integrating a new dbt package and find its models conflict with naming conventions in your existing project. Which approach generally provides the most flexible solution?

A) Override the package's macros and redefine them within your project.
B) Contact the package maintainers to request changes aligning with your conventions.
C) Manually edit the SQL within the conflicting package models.
D) Utilize the dbt_project.yml file to re-alias the models provided by the package.

4. You're working in a highly collaborative environment. How could you manage contributions and updates to complex lineage macros to ensure maintainability and prevent conflicts?

A) Limit the number of people authorized to make changes to sensitive lineage macros-
B) All of the above-
C) Establish coding style guides and peer-review processes specifically for macros.
D) Utilize a robust version control system (e.g., Git) for macro code.

5. You have a complex dbt model that is essential for production reporting. To minimize the risk of breaking this model during development, what strategy might you employ?

A) Rely on your data warehouse's native rollback functionality to reverse changes if needed.
B) Configure production jobs to use a pinned version of the dbt model.
C) Write extensive tests targeting this model in your production environment
D) Create a duplicate model in production and only sync changes once they're fully tested-

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