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Why is it important that production dbt automation includes logging and monitoring?

hard🧠 Conceptual Q10 of 15
dbt - Production Deployment
Why is it important that production dbt automation includes logging and monitoring?
ATo track run success, diagnose failures, and maintain data reliability.
BTo make the dbt runs faster by skipping steps.
CTo reduce the size of the data warehouse.
DTo allow users to edit dbt models during runs.
Step-by-Step Solution
Solution:

  1. Step 1: Understand the role of logging and monitoring

    Logging records what happened; monitoring alerts on issues.

  2. Step 2: Connect to production dbt needs

    This helps ensure data reliability by catching and fixing problems quickly.

  3. Final Answer:

    To track run success, diagnose failures, and maintain data reliability. -> Option A

  4. Quick Check:

    Logging and monitoring = track and diagnose [OK]
Quick Trick: Logging helps track and fix automation issues [OK]
Common Mistakes:
MISTAKES
  • Thinking logging speeds up runs
  • Confusing logging with data size reduction
  • Assuming logging allows live model edits

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