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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You're working in a dbt Cloud development environment. You make a change to a model definition that accidentally introduces an invalid column reference. What's the likely sequence of events when you trigger a dbt run?

A) The job will fail during compilation, and a clear error message will point to the invalid reference.
B) The job execution state will depend on the specific SQL dialect of your data warehouse.
C) The job will succeed but produce incorrect output due to the invalid reference.
D) The job will succeed, as dbt only validates schema changes at deployment time.

2. You need to test whether the values of a specific column have changed over time. What might be the best approach to implement this kind of test within your dbt project?

A) rely on native version history features in your data warehouse (if available).
B) Write a dbt macro to create a temporary table with historical data to compare against.
C) Use a snapshot to preserve a point-in-time reference of the column.
D) Use a custom 'accepted_values' test together with a dbt seed.

3. You get the following error when compiling a model:ln 'models/marts/sales_report.sql':

A) Introduce a unit test to assert that the model's output has no duplicate rows.
B) Examine your model's SQL and ensure you've defined a column or combination of columns to serve as a unique identifier.
C) Delete the existing model and create a new one with the materialization set to table.
D) Add a config.get("unique_key") entry within your model configuration in dbt_project.yml.

4. You're integrating a new API-based data source. Select the most suitable way to incorporate this into your dbt project.

A) Create a seed file to load the data directly into a table.
B) Utilize a dbt package tailored for the specific API, if available.
C) Write a dbt macro to encapsulate the API interaction logic.
D) Create a source with a loaded_at_field and write custom logic to snapshot API data.

5. You get a compilation error: "Configuration key 'enabled' not found". Where in your dbt_project.yml would you start looking to fix this, and why?

A) Within the models section, as models often use the enabled property.
B) Under a specific source definition, as sources can also sometimes be conditionally enabled.
C) In a seeds.yml file or the seeds section, where enabled is a valid property.
D) In the top-level profiles.yml, as the enabled key is specific to setting up project profiles.

Solutions: