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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

Question 1

A teammate opens a pull request with numerous changes across many files. To help with the review process, you would suggest that they:

A. All of the above.
B. Use detailed commit messages to explain the rationale behind each set of related changes.
C. Provide a comprehensive summary of the intent and scope of the changes within the pull request description.
D. Resubmit the pull request as several smaller, more focused pull requests.

Question 2

External Dependency

A. All of the above.
B. Implement schema tests for the affected models to catch similar breakages immediately in the future.
C. Work with stakeholders to understand if the external change is intentional and adjust the business logic if needed.
D. Introduce a temporary staging model to transform the data into a compatible structure for your existing models.

Question 3

You're onboarding new developers to your dbt project. To simplify their setup, you want to provide a standard profiles.yml template. What should you consider when doing this?

A. Providing example dbt commands as comments directly within the file to guide new users.
B. Prepopulating common credentials to make the initial setup hassle-free.
C. Referencing environment variables to allow for easy customization by developers.
D. Including different target configurations to illustrate switching between development and production.

Question 4

(Multiple Select)

A. You need to perform data type conversions for a specific set of columns.
B. You detect a frequently-used, non-trivial SQL transformation pattern across multiple models.
C. You have a very simple filter that is applied to just a small subset of models.
D. Your data warehouse has a non-standard SQL function used in various reporting dashboards.

Question 5

You've been tasked with improving the discoverability of dbt models within your project. Which of the following changes would be the MOST effective in achieving this goal?

A. Using custom macros to dynamically generate model descriptions based on metadata.
B. Adding a tags list to all models, even if the tags are somewhat generic.
C. Writing longer, more verbose descriptions for each column in your models.
D. Ensuring models have clear and concise descriptions that accurately reflect their purpose.

Solutions: