Determine the Differences Between Jupyter Notebooks and Pipelines CERTIFIED-AI-EXPERT Practice Questions (Page 6)

Questions 26–26

1. 26application · medium

   A data scientist has been iterating on a feature engineering approach in a Jupyter notebook. After several rounds of manual parameter tuning, the model's performance improved significantly. The team now wants to retrain the model nightly with the same logic. What is the primary reason the notebook itself is not suitable for this nightly retraining task?

   • ANotebooks are limited to a single CPU core, which is insufficient for nightly training jobs.
   • BThe notebook's cell execution order may not match the visual order, and the final state depends on the manual sequence of cell runs.
   • CJupyter notebooks cannot be saved as Python scripts, so the logic cannot be extracted for automation.
   • DThe notebook kernel cannot run on a server, so it cannot be scheduled.
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