You want to create a dbt model that calculates monthly active users (MAU) and their average spend. Which advanced pattern helps you organize this complex logic best?

hard🚀 Application Q8 of 15

dbt - Advanced Patterns

ACreate separate models for MAU and spend and never join them

BUse multiple CTEs: one for filtering active users, one for calculating spend, then join results

CWrite all logic in a single SELECT statement without CTEs

DHardcode monthly values instead of dynamic date filters

Step-by-Step Solution

Solution:

Step 1: Understand the complexity of MAU and spend calculation
These require filtering, aggregation, and joining data logically.
Step 2: Identify the best pattern to organize this logic
Using multiple CTEs breaks down steps clearly and allows reuse.
Final Answer:
Use multiple CTEs: one for filtering active users, one for calculating spend, then join results -> Option B
Quick Check:
Multiple CTEs organize complex logic well [OK]

Quick Trick: Break complex logic into multiple CTEs for clarity [OK]

Common Mistakes:

MISTAKES

Trying to write all logic in one query
Not joining related data
Hardcoding values instead of using filters

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You want to create a dbt model that calculates monthly active users (MAU) and their average spend. Which advanced pattern helps you organize this complex logic best?

Step 1: Understand the complexity of MAU and spend calculation

Step 2: Identify the best pattern to organize this logic

Final Answer:

Quick Check:

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