Your data warehouse environment undergoes a major version upgrade, introducing changes in SQL syntax and supported functions. How would you handle the migration of dbt projects to ensure compatibility?

• A.Create temporary branches in your dbt projects to isolate upgrade-related code changes for each environment
• B.Thoroughly test all dbt models across your staging and development environments to identify necessary updates.
• C.Utilize custom macros to introduce conditional logic or abstract away syntax differences between versions, if feasible.
• D.All of the above.

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You notice that your dbt jobs take longer than expected. You suspect potential issues with models referencing large raw tables unnecessarily. Which of the following strategies might help optimize performance? (Choose two)

• A.Move the raw table into a separate staging schema and grant access only to necessary models.
• B.Introduce CTEs within your models to pre-filter raw data where possible.
• C.Add more indexes to all the raw tables in your warehouse.
• D.Convert your most-used models to incremental materializations.

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(Multiple Select)

• A.Implementing more rigorous access controls and auditing procedures.
• B.Potentially running on a different data warehouse or with different database settings.
• C.Using credentials with appropriate permissions (likely read-only) to access production data sources.
• D.Scheduling models to run outside normal business hours to reduce resource contention.

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Your dbt_project.yml contains the following: YAML

• A.Runtime Error: Incorrectly specifying materialization within a nested YAML structure-
• B.Compilation Error: Invalid indentation causing a YAML parsing issue.
• C.Compilation Error: Using "+" to indicate nested configuration is incorrect in -yml files.
• D.No error: This is a valid configuration-

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

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