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Why does dbt Cloud recommend using ephemeral models in deployment pipelines?

hard🧠 Conceptual Q10 of 15
dbt - Production Deployment
Why does dbt Cloud recommend using ephemeral models in deployment pipelines?
ATo schedule jobs without Git integration.
BTo avoid creating unnecessary tables and speed up runs by inlining SQL.
CTo automatically generate dashboards from models.
DTo store intermediate results permanently for auditing.
Step-by-Step Solution
Solution:

  1. Step 1: Understand ephemeral models

    Ephemeral models are inlined SQL snippets that do not create tables, improving speed.

  2. Step 2: Eliminate incorrect options

    Options A, B, and C describe unrelated features or incorrect uses.

  3. Final Answer:

    To avoid creating unnecessary tables and speed up runs by inlining SQL. -> Option B

  4. Quick Check:

    Ephemeral models = inline SQL, no tables [OK]
Quick Trick: Ephemeral models inline SQL to speed runs [OK]
Common Mistakes:
MISTAKES
  • Thinking ephemeral models create tables
  • Confusing ephemeral models with dashboards
  • Assuming ephemeral models handle scheduling

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