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Designing a Modular ML Workflow
Scenario: A team is building a predictive system and chooses a modular workflow rather than a single end-to-end model.
Prompt: What are the two design choices they need to settle so the workflow is well defined and its parts can operate together?
Expected response: They need to decide which stages belong in the workflow and how the output of one stage is passed into the next stage.
Checklist:
- Identify the workflow stages
- Specify the interfaces or handoff points between stages
- Treat the system as a modular alternative to an end-to-end approach
Rubric: A correct answer names both required decisions: the components or stages in the workflow, and the way those components connect or exchange data.
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