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A data engineering team manages multiple iterations of a machine learning model in Google Cloud's Model Registry. They are cleaning up obsolete assets and need to delete an older model version that is currently designated with the default alias.
What must the team do in Model Registry to successfully delete this model version?
In Google Cloud's Model Registry, models are managed as versioned assets under a unified model resource. Each version represents a specific iteration of trained model artifacts, evaluation metrics, and metadata. To simplify model tracking, promotion, and downstream deployment, version aliases (such as default or custom labels like production and staging) point to specific numeric versions. The default alias identifies the primary version of the model used whenever a specific version ID is not explicitly provided in API calls or deployment pipelines.
default alias, ensuring downstream processes referencing the default model do not encounter missing resources.default alias, ensuring continuous model governance and integrity.Reassigning the default alias ensures zero operational downtime for client services querying the model without version qualifiers. It is the established governance procedure in Google Cloud Model Registry to maintain asset consistency.
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