Professional Machine Learning Engineer

Question

Your company recently migrated several of its ML models to Google Cloud. You have begun developing models in Vertex AI. You need to implement a system to track model artifacts and model lineage. You want to create a simple, effective solution that can be reused for future models. What should you do?

Explanation

Vertex AI Pipelines provides reusable ML workflows and records the parameters and metadata of artifacts produced and consumed by pipeline runs in Vertex ML Metadata. Vertex ML Metadata supports artifact-lineage analysis, while the Vertex AI SDK enables programmatic metadata integration and queries. This provides a native, reusable solution without introducing separate lineage tooling or custom scheduled infrastructure.

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Professional Machine Learning Engineer

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Notes

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