Why dbt transformed data transformation workflows - Challenge Your Understanding

Challenge - 5 Problems

🧠 Conceptual

intermediate

Key Benefit of dbt in Data Transformation

Which of the following best explains why dbt transformed data transformation workflows?

A dbt automatically generates machine learning models from raw data without configuration.

B dbt replaces the need for any SQL knowledge by automating all data transformations without user input.

C dbt stores data physically in new databases, eliminating the need for data warehouses.

D dbt allows analysts to write modular SQL code with version control, improving collaboration and maintainability.

💡 Hint

Think about how dbt helps teams work together on SQL code.

dbt transformed workflows by enabling analysts to write modular SQL with version control, making collaboration easier and code more maintainable.

❓ Predict Output

intermediate

Output of a dbt Model SQL

Given this dbt model SQL code, what is the output table content?

dbt

select user_id, count(*) as order_count from orders group by user_id

A [{'user_id': 1, 'order_count': 3}, {'user_id': 2, 'order_count': 2}]

B [{'user_id': 1, 'order_count': 8}, {'user_id': 2, 'order_count': 5}]

C [{'user_id': 1, 'order_count': 3}, {'user_id': 2, 'order_count': 5}]

D SyntaxError: missing GROUP BY clause

💡 Hint

Count orders per user_id grouped correctly.

The query counts orders per user_id, so the output shows each user with their total orders.

❓ data_output

advanced

Result of dbt Incremental Model Run

If a dbt incremental model runs twice, first with 100 rows and then with 50 new rows, what will be the total rows in the model table?

A 150 rows

B 50 rows

C 100 rows

D 200 rows

💡 Hint

Incremental models add new data without deleting old data.

Incremental models append new rows, so total rows after two runs is 100 + 50 = 150.

🔧 Debug

advanced

Identify the Error in dbt Model SQL

What error will this dbt model SQL produce?

select user_id, sum(amount) as total from sales where date > '2023-01-01'

dbt

select user_id, sum(amount) as total from sales where date > '2023-01-01'

A SyntaxError: missing GROUP BY clause

B No error, query runs successfully

C RuntimeError: date column not found

D TypeError: sum function invalid

💡 Hint

Check if aggregation columns are grouped properly.

The query uses sum(amount) but does not group by user_id, causing a SQL error.

🚀 Application

expert

Choosing dbt Features for Workflow Improvement

A data team wants to improve their transformation workflow by enabling testing, documentation, and modular code reuse. Which dbt features should they use together?

A dbt packages, dbt hooks, and dbt run-operation

B dbt tests, dbt docs, and dbt macros

C dbt incremental models, dbt exposures, and dbt artifacts

D dbt seeds, dbt snapshots, and dbt sources

💡 Hint

Think about testing, documentation, and reusable code.

dbt tests validate data, dbt docs generate documentation, and dbt macros enable reusable SQL code.