Exam AI-300 Topic 1 Question 29 Discussion
Actual exam question for Microsoft's AI-300 exam
Question #: 29
Topic #: 1
Question #: 29
Topic #: 1
An organization maintains separate Azure Machine Learning workspaces for development and production.
Both environments must use the same validated assets without duplicating them.
Assets must be shared across workspaces while maintaining centralized governance and version control.
You need to enable reuse of assets across workspaces without copying them.
What should you do?
Both environments must use the same validated assets without duplicating them.
Assets must be shared across workspaces while maintaining centralized governance and version control.
You need to enable reuse of assets across workspaces without copying them.
What should you do?
Suggested Answer: D Vote an answer
To share validated assets between development and production workspaces while maintaining centralized governance and version control, you should use Azure Machine Learning Registries.
Microsoft Learn
Unlike standard workspaces, registries are workspace-agnostic. They act as a central catalog that decouples assets from individual environments, allowing you to "promote" a model or environment from Dev to Prod without manual duplication or data drift.
Reference:
https://learn.microsoft.com/en-us/azure/machine-learning/concept-machine-learning-registries- mlops
Microsoft Learn
Unlike standard workspaces, registries are workspace-agnostic. They act as a central catalog that decouples assets from individual environments, allowing you to "promote" a model or environment from Dev to Prod without manual duplication or data drift.
Reference:
https://learn.microsoft.com/en-us/azure/machine-learning/concept-machine-learning-registries- mlops
by Emma at May 31, 2026, 08:06 PM
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