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Why a Pipeline Step Can Still Fail with Perfect Execution
Question: Explain why a stage in a processing pipeline may produce the wrong result even when it operates correctly on the data it receives, and describe how the pipeline should be improved.
Sample answer: A pipeline stage can be working exactly as designed and still fail overall if the input it receives is missing important information. For example, a warehouse routing model may assign packages efficiently using only package weight and destination, but it can still make poor decisions if it never receives road-closure information or promised delivery times. The right redesign is to identify what an expert dispatcher would check before making the decision. That comparison helps engineers determine which missing signals should be added earlier in the pipeline or passed into the failing component.
Key points:
- Correct behavior on limited inputs does not guarantee a correct final outcome.
- A failure can come from missing information, not from a buggy algorithm.
- A useful redesign question is: what would a skilled human need to know?
- The pipeline should be expanded so the needed information is available at the right step.
Rubric: A strong answer explains that a component can be limited by incomplete inputs even when it functions properly, and it explicitly uses a skilled human as the reference for deciding what information to add.
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