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Case Study

Structuring an Alternative Pipeline System

Case context: A machine learning practitioner is building a new pipeline system and decides not to use an end-to-end system. They must establish the structural design of the alternative pipeline.

Question: What two specific decisions must the practitioner make to define this pipeline's design and ensure its components work together?

Sample answer: The practitioner must decide what steps the pipeline should contain and how those steps should connect and plug together.

Key points:

  • Decide what steps are in the pipeline
  • Decide how the steps plug together
  • Build the pipeline system as a non-end-to-end alternative

Rubric: Responses must identify that the practitioner needs to decide (1) the steps or components in the pipeline and (2) how they connect or plug together.

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Updated 2026-05-27

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Machine Learning

Deep Learning

Supervised Learning

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Data Science

Machine Learning Strategy

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