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hardGcp Vertex Ai
A team uses KFP SDK v2 to build a Vertex AI Pipeline. A component annotated with output type Output[Dataset] produces an artifact. A downstream component expects Input[Dataset]. The pipeline runs successfully locally with kfp.local runner but fails on Vertex AI with: TypeError: Incompatible artifact type. The artifact type annotation is identical in both components. What is the specific SDK versioning issue causing this, and how is it resolved?
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  • 1.Concepts over memorization.
  • 2.Identify trade-offs in every solution.