Answer-first summary for fast verification
Answer: tags
The question requires storing custom metadata in key-value format with the ability to add, modify, or delete after model creation. According to Azure ML documentation and the community discussion consensus (with the highest upvotes supporting C), tags are mutable key-value pairs that can be updated after model registration, while properties are immutable once set. The community discussion shows strong support for option C (96% of answers), with multiple comments citing official Microsoft documentation confirming that tags can be changed or deleted after registration, but properties cannot be modified once the model is registered. This makes tags the optimal choice for storing metadata that needs to be updated post-creation.
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You are registering a trained model in an Azure Machine Learning workspace. You need to store custom metadata about the model in a key-value format, with the ability to add, modify, or delete this metadata after the model is created.
Which parameter should you use when registering the model?
A
description
B
model_framework
C
tags
D
properties
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