Complete the code to select the correct environment in dbt profiles.yml.
target: [1]The target key in profiles.yml sets the active environment. Here, dev is the development environment.
Complete the code to define a variable for the staging environment in dbt_project.yml.
vars:
environment: [1]Setting environment variable to 'staging' helps dbt know which environment it is running in.
Fix the error in the dbt command to run models in the production environment.
dbt run --target [1]The --target flag specifies which environment to run. For production, use prod.
Fill both blanks to create a conditional model selection based on environment variable.
models: [1]: +enabled: [2]
In dbt, you can enable models conditionally. Here, the staging models are enabled (true).
Fill all three blanks to create a dictionary comprehension that filters models for the dev environment with names longer than 5 characters.
filtered_models = {model: config for model, config in models.items() if len(model) [1] 5 and config['environment'] == '[2]' and config['enabled'] == [3]This comprehension filters models whose names are longer than 5 characters, belong to the 'dev' environment, and are enabled (True).