Why project structure scales with team size in dbt - Challenge Your Understanding

Challenge - 5 Problems

🧠 Conceptual

intermediate

Why does project structure matter more as team size grows?

Imagine a small team and a large team working on the same dbt project. Why does the project structure become more important as the team grows?

A Because bigger teams write fewer models, so structure is less important.

B Because a larger team needs clear organization to avoid conflicts and confusion.

C Because project structure only affects the speed of the computer, not the team.

D Because smaller teams do not need to write any documentation.

💡 Hint

Think about how many people can work on the same files without clear rules.

As teams grow, many people work on the same project. Without clear structure, they can overwrite each other's work or get confused about where to add new models. Good structure helps everyone know where to find and add things.

❓ data_output

intermediate

Identify the number of folders needed for a 10-person dbt team

A 10-person dbt team wants to organize their project so that each person has a dedicated folder for their models. How many folders should the project have at minimum?

A 10 folders, one per person

B 1 folder, shared by all team members

C 5 folders, two people per folder

D 20 folders, two per person

💡 Hint

Think about how to avoid conflicts by giving each person their own space.

Giving each team member their own folder helps avoid conflicts and makes it easier to track who owns which models. So, for 10 people, 10 folders is the minimum to give everyone their own space.

❓ Predict Output

advanced

What is the output of this dbt model path code?

Given this Python snippet used in a dbt project to list model folders:

folders = ['sales', 'marketing', 'finance']
team_size = 3
print(len(folders) == team_size)

What is the output?

dbt

folders = ['sales', 'marketing', 'finance']
team_size = 3
print(len(folders) == team_size)

A True

B False

C 3

D Error

💡 Hint

Count the number of folders and compare to team size.

There are 3 folders and the team size is 3, so the expression len(folders) == team_size is True.

🚀 Application

advanced

How to scale dbt project structure for a 50-person team?

You have a 50-person dbt team. Which project structure approach best supports scaling and collaboration?

A Keep all models in one folder to simplify navigation.

B Create one folder per person without grouping by domain.

C Divide models into multiple folders by domain and assign sub-teams to each folder.

D Use random folder names to avoid conflicts.

💡 Hint

Think about grouping by topic to reduce complexity.

For large teams, grouping models by domain and assigning sub-teams helps manage complexity and reduces conflicts. One folder per person is too many and hard to maintain. One folder for all is chaotic.

🔧 Debug

expert

Why does this dbt project structure cause merge conflicts?

In a dbt project, all team members commit models to the same folder without subfolders. What is the main reason this causes frequent merge conflicts?

A Because the project has too many models.

B Because dbt does not support multiple folders.

C Because git cannot track files in folders.

D Because multiple people edit files in the same folder, causing overlapping changes.

💡 Hint

Think about how version control handles simultaneous edits.

When many people work in the same folder, they often edit the same files or add files with similar names, causing git merge conflicts. Organizing into subfolders reduces this risk.