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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You introduce a custom macro into your project. This is a snippet of your dbt_project.yml:YAML

A) The macro's name should only be 'trim', without the 'string_utils' prefix.
B) You must place the macros directory within the root of your dbt project.
C) The .sql extension on the file within the macros directory is incorrect.
D) The macro_paths configuration in your dbt_project.yml might be incorrect or missing.

2. You've added a new exposure to your project, but it doesn't appear in dbt docs. Here's part of your dbt_project.yml:YAML

A) You haven't run dbt docs serve after making changes to your project file.
B) Exposures of type 'notebook' are not automatically detected by dbt docs generate.
C) The owner property is not correctly formatted as an email address.
D) The maturity property is missing within your exposure's configuration.

3. You're considering using dbt's --store-failures flag when running tests. Which of the following are potential implications of using this flag?

A) Successful models will not be rebuilt if downstream dbt tests are marked as failures.
B) Troublesl-ming failing tests will become easier, as data related to the failure is persisted.
C) The overall dbt test command may run faster-
D) This flag alters how dbt calculates test results

4. You've created a macro to display upstream dependencies differently from downstream dependencies in the DAG. However, after re-generating the documentation, the visualization doesn't seem to have changed. What should you investigate?

A) Update the cache expiration settings of your web browser.
B) Verify that your web browser supports the CSS and JavaScript used for custom DAG styling.
C) The built-in DAG functionality might have limitations preventing this type of customization.
D) Ensure the macro is named correctly and located in the appropriate directory (macros folder) of your dbt project.

5. You have a model that assumes an input dataset will always be sorted by a particular column. Unfortunately, this is not always true. What might be the best way to make your model more robust?

A) Accept that this is a source data issue and cannot be addressed within dbt.
B) Add an explicit ORDER BY clause to the start of your model's SQL.
C) Implement a custom test to fail the model whenever the sorting assumption is violated.
D) Increase memory allocated to your data warehouse in hopes the sorting happens by default.

Solutions: