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dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You want to include a detailed lineage diagram in your project documentation. Which of these approaches would you likely consider?

A) Write a custom macro that generates a lineage diagram and include it in relevant model descriptions.
B) Use the built-in lineage functionality within dbt's standard documentation generation.
C) Manually create a diagram using a separate tool and add an image reference in a model's description.
D) Configure a third-party dbt package designed for enhanced lineage and visualization.

2. You've defined a unique test on a key column within a model. When running dbt test, you encounter a surprising failure. Which of the following might be the cause?

A) The unique test is too strict and doesn't align with the business definition of uniqueness.
B) An incorrect join in your model is inadvertently creating duplicate rows.
C) Upstream data was updated unexpectedly, leading to previously non-existent duplicates.
D) There are truly duplicate values in the column.

3. You discover that dbt models run significantly slower in your production environment than in development. What potential causes should you investigate?

A) Production data volume being significantly larger than development data.
B) Network latency impactingressing access to remote data sources.
C) Different database configurations or resource allocations (memory, CPU, etc.) between environments-
D) Inefficient use of snapshots or incremental models in your production dbt project_

4. You're integrating a new dbt package and find its models conflict with naming conventions in your existing project. Which approach generally provides the most flexible solution?

A) Utilize the dbt_project.yml file to re-alias the models provided by the package.
B) Override the package's macros and redefine them within your project.
C) Contact the package maintainers to request changes aligning with your conventions.
D) Manually edit the SQL within the conflicting package models.

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

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

Solutions: