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dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. During a code review, a collaborator suggests modifying a small portion of code you had already committed to your feature branch. What's the most efficient way to address this without creating a completely new commit?

A) Use git revert to undo your previous commit, make the change, and then re-commit.
B) Use git commit -amend to modify your most recent commit.
C) Create a new branch extending from your feature branch, make the change, and open a separate pull request.
D) Explain to your collaborator that modifying committed code is not recommended, and the change should wait for a future update.

2. You frequently need to spin up short-lived development environments on demand for testing and experimentation. Which dbt feature would streamline this process, especially when it involves custom configuration?

A) Using dbt tags to selectively execute parts of your project.
B) Creating multiple deployment environments in dbt Cloud.
C) dbt's -vars flag to override variable values.
D) dbt profiles defined in your dbt_project.yml file.

3. You've defined a complex custom singular test. While testing it initially on a development dataset, it times out. Which optimization techniques might be worth trying?

A) Rewrite the test using a dbt macro for better maintainability.
B) Ensure the test SQL uses appropriate indexes in the underlying database.
C) Remove any redundant joins or subqueries from the test logic.
D) Disable the test in production environments and run it only in development.

4. You need to update a core configuration setting that impacts many models in your project. To mitigate risk, you want to deploy and test these changes in a pre-production staging environment before rolling them out widely. How would you organize your work?

A) Manually duplicate and modify the models in a dedicated staging schema, deploying with a separate dbt job.
B) Write complex environment-aware macros to switch behavior dynamically, reducing code duplicatiom
C) Create a feature branch, make changes, then test in staging by switching your profile.
D) Use dbts --target flag to selectively execute models in staging and production environments.

5. You want to use a YAML anchor to reuse a standard block of descriptive text within multiple models. How would you implement this?

A) YAML anchors are not directly supported in the context of dbt model and source descriptions-
B) Insert a YAML anchor (&) in your dbt_projectyml file and reference it in your model files.
C) Define a Jinja macro for the text block, and then call the macro within your descriptions.
D) Create a YAML anchor within the relevant model file where the text should be reused.

Solutions: