Documenting models in YAML in dbt - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the purpose of documenting models in YAML in dbt?

Documenting models in YAML helps explain what each model does, its columns, and any important details. This makes it easier for others to understand and use the models correctly.

beginner

How do you define a model description in a dbt YAML file?

You add a description field under the model name in the YAML file to explain what the model represents or does.

beginner

What is the structure to document columns of a model in dbt YAML?

Under the model, you use a columns list. Each column has a name and a description to explain its meaning.

intermediate

Why is it helpful to document tests in the YAML file for dbt models?

Documenting tests in YAML shows what checks are done on the data, like uniqueness or not-null. This helps keep data quality clear and maintainable.

beginner

Give an example of a simple YAML snippet documenting a model and one column.

Example:

models:
  - name: customers
    description: 'Contains customer details'
    columns:
      - name: customer_id
        description: 'Unique ID for each customer'

In dbt YAML documentation, where do you write the description of a model?

A Inside the SQL model file as a comment

B In a separate markdown file

C Under the model's name with a 'description' field

D In the dbt_project.yml file

Model descriptions are written in the YAML file under the model's name using the 'description' field.

How do you document columns in a dbt YAML file?

A Using a 'columns' list with 'name' and 'description' for each column

B By adding comments in the SQL file

C By creating a separate CSV file

D By naming columns in the dbt_project.yml file

Columns are documented in YAML using a 'columns' list where each column has a 'name' and a 'description'.

What is one benefit of documenting tests in dbt YAML?

A It automatically fixes data errors

B It speeds up SQL query execution

C It replaces the need for SQL models

D It helps explain data quality checks clearly

Documenting tests clarifies what data quality checks are performed, helping maintain clean data.

Which of these is NOT typically documented in a dbt YAML model file?

A Data source connection details

B Column descriptions

C Model description

D Tests on columns

Data source connection details are configured elsewhere, not in the model YAML documentation.

What format does dbt use for model documentation?

A JSON

B YAML

C XML

D Markdown

dbt uses YAML files to document models, columns, and tests.

Explain how to document a dbt model and its columns using YAML.

Think about the YAML structure with models, columns, and descriptions.

Why is documenting tests in the YAML file important for dbt models?

Consider how documentation helps others understand what checks are done.