You want to create a naming convention for a large dbt project with multiple teams. Which approach best supports scalability and clarity?

hard📝 Application Q8 of 15

dbt - Project Organization

AUse random prefixes to avoid conflicts and keep names short

BUse clear prefixes like stg_, int_, dim_, fct_ and include team initials in model names

CUse only the model purpose without prefixes to keep names simple

DUse numeric codes instead of descriptive names for faster lookups

Step-by-Step Solution

Solution:

Step 1: Consider naming clarity and team collaboration
Clear prefixes help identify model types; adding team initials helps track ownership.
Step 2: Evaluate other options
Random prefixes or numeric codes reduce clarity; no prefixes make it hard to identify model roles.
Final Answer:
Use clear prefixes like stg_, int_, dim_, fct_ and include team initials in model names -> Option B
Quick Check:
Clear prefixes + team IDs = scalable naming [OK]

Quick Trick: Combine clear prefixes with team IDs for scale [OK]

Common Mistakes:

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