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Which of these best explains how dbt model optimization lowers warehouse costs?

easy🧠 Conceptual Q2 of 15
dbt - Performance Optimization
Which of these best explains how dbt model optimization lowers warehouse costs?
ABy reducing the amount of data scanned during queries
BBy increasing the number of joins in SQL models
CBy duplicating data across multiple tables
DBy running queries more frequently
Step-by-Step Solution
Solution:
  1. Step 1: Identify cost drivers in warehouse queries

    Data scanned during queries directly impacts compute cost in warehouses.
  2. Step 2: Link optimization to data scanned

    Optimized models select only needed columns and filter data, reducing scanned data and costs.
  3. Final Answer:

    By reducing the amount of data scanned during queries -> Option A
  4. Quick Check:

    Less data scanned = lower cost = A [OK]
Quick Trick: Scan less data to save warehouse costs [OK]
Common Mistakes:
MISTAKES
  • Thinking more joins reduce costs
  • Assuming data duplication saves money
  • Believing more frequent queries lower costs

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