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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You've included some custom visualizations within your dbt project documentation (e.g., network graphs) but notice they don't render correctly when the site is generated. What might be the cause?

A) Your visualization definitions haven't been configured correctly in the project YAML files
B) Custom visualizations are not directly supported by dbt's built-in documentation.
C) Custom visualizations usually require additional JavaScript libraries to be included.
D) The dbt docs generate command has a strict limit on the file size of visualizations it can process-

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

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

3. Which of the following is NOT a direct benefit of thorough source, table, and column descriptions in dbt?

A) Better data quality due to the automated enforcement of column descriptions
B) Increased discoverability for other team members working on the project
C) Faster dbt model compilation and execution times.
D) Improved lineage and data traceability within the documentation.

4. You're working in a large, enterprise-level dbt deployment. Which aspect of using dbt documentation commands could become especially important in this context?

A) Developing strict documentation contribution guidelines for multiple teams and collaborators.
B) All of the above.
C) Optimizing the dbt docs generate process for very large projects to minimize execution time.
D) Version-controlling your documentation changes alongside your project code.

5. You need to give read-only access to a specific dataset in your production data warehouse to a data analyst on your team. How might you approach this using dbt environments?

A) Modify the data warehouse permissions directly to grant access to the required dataset.
B) A combination of the above, depending on the capabilities of your data warehouse.
C) Create a dedicated dbt target for the analyst and utilize grants within your models to control access.
D) Use row-level security features in your data warehouse and dynamically filter data in models using environment variables.

Solutions: