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dbt Labs dbt-Analytics-Engineering Exam Syllabus Topics:

dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. You're working with a model that aggregates data across many countries. Which assumption about the data might be especially important to test for and handle in your model logic?

A) Different regions may use varying currency exchange rates.
B) Time zones and daylight savings rules for timestamps could differ between data sources.
C) The presence of unexpected HTML tags within textual data fields.
D) Encoding formats (UTF-8, etc.) may be inconsistent across source systems.

2. After configuring a dbt package, you notice its models depend on a source table absent from your warehouse. How do you typically address this?

A) Override the package model's SQL query to reference an existing table in your warehouse.
B) File an issue or submit a pull request to the package's repository.
C) Rewrite the package's model from scratch within your project to remove the dependency.
D) Update your source definitions to include the required table.

3. (Multiple Select)

A) There's an urgent request to update a single dashboard, and you know the exact subset of models to re-run.
B) You've refactored a core model and need to quickly validate its output and downstream dependencies.
C) You need to temporarily disable a computationally expensive model that isnt critical for daily reporting.
D) A critical upstream data source has been delayed, and you only want to refresh dependent models once the data arrives.

4. A team member suggests building a dbt package for a set of reusable transformations your team frequently uses. When is this MOST likely a good idea?

A) The transformations are project-specific but used across multiple models.
B) You need to limit access to these transformations to a specific team within your organization.
C) The transformations are complex and involve domain-specific logic that might be beneficial to others.
D) The transformations are relatively simple and could be written as macros.

5. You must exclude a specific model from being included in the generated documentation entirely. How would you achieve this?

A) Use the enabled flag in your dbt_projectyml file to control model inclusion.
B) Add a dæs: {enabled: false} entry to the model's YAML configuration.
C) Its not possible to exclude individual models; you can only exclude entire folders.
D) Remove all descriptions and tags associated with the model.

Solutions: