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dbt Labs dbt Analytics Engineering Certification Sample Questions:

1. (Multiple Select)

A) Indenting freshness incorrectly under the customers table.
B) Using an 's' at the end of tables.
C) The error_after freshness check syntax.
D) Misspelling "orders" as "orderes".

2. You need to build a model to identify customers who haven't placed orders in the past 90 days. Performance with this model is critical, as it will trigger a re-engagement campaign. Which strategy is likely to yield the best results?

A) Create a materialized view that contains only active customers and join against the orders table.
B) Filter the orders table for dates within the past 90 days, then find customers without corresponding order IDs.
C) IJse a window function to rank order dates for each customer and filter those where the most recent order is older than 90 days.
D) Join the customers and orders table, group by customer ID and use a HAVING clause to filter inactive customers.

3. You introduce a new data source for a dbt model. Production policies require review and approval of the source's schema before it can be used for reporting. How could you streamline this within your dbt project?

A) Use dbfs ephemeral models feature to temporarily load the data for the approval process.
B) Write dbt tests that explicitly fail if the new source schema does not match the approved definition.
C) Create a pre-hook that automates schema validation and sends the output to the designated team.
D) Run a separate dbt project in production exclusively for source validation, providing access to relevant stakeholders.

4. Your team uses a custom macro to generate model descriptions dynamically. However, these descriptions don't appear in the DAG visualization within the documentation. Which of the following might cause this issue?

A) The generated documentation site might be cached, preventing the updated descriptions from appearing.
B) Custom macros always require explicit configuration in your dbt_project.yml file to be rendered in the DAG-
C) The macro might not be returning the description in the standard format that dbt documentation expects.
D) Dynamically generated descriptions are incompatible with DAG visualizations in dbt

5. Your team decides to use separate databases within the data warehouse for development, staging, and production. Which are the potential benefits of this approach?

A) All of the above.
B) Simplified testing and deployment processes due to clear separation of environments.
C) Increased isolation of changes between environments, reducing the risk of unintended consequences in production.
D) The ability to fine-tune database configurations and permissions specifically for each environment's purpose.

Solutions: