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Checking Data Readiness for a Pipeline Step
Question: In a multi-stage system, what data-related check should guide the choice of a separate component instead of an end-to-end design?
Sample answer: For each proposed step, ask whether you can gather enough relevant examples without major effort to train that step well. If the needed data is hard to obtain, that component may be a poor choice.
Key points:
- Look for enough relevant examples to train the step.
- Judge the effort required to obtain those examples.
- Apply the check to every candidate step.
Rubric: Full credit requires mentioning both the practical availability of training data and that the check must be done for each proposed component.
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