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Exam DP-100 topic 3 question 181 discussion

Actual exam question from Microsoft's DP-100
Question #: 181
Topic #: 3
[All DP-100 Questions]

You have an Azure Machine Learning workspace named WS1.

You plan to use Azure Machine Learning SDK v2 to register a model as an asset in WS1 from an artifact generated by an MLflow run. The artifact resides in a named output of a job used for the model training.

You need to identify the syntax of the path to reference the model when you register it.

Which syntax should you use?

  • A. t//model/
  • B. azureml://registries
  • C. mlflow-model/
  • D. azureml://jobs/
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Suggested Answer: D 🗳️

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D0ktor
5 months, 1 week ago
Selected Answer: D
D Correct
upvoted 2 times
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evangelist
10 months, 1 week ago
Selected Answer: D
The correct syntax to reference the model when registering it from an MLflow run artifact in Azure Machine Learning SDK v2 is: D. azureml://jobs/ Here's why: In Azure Machine Learning SDK v2, when you want to register a model from a job output, you use the "azureml://" URI scheme. The "jobs/" part indicates that you're referring to a job output. The full path would typically look something like this: azureml://jobs/<job-name>/outputs/<output-name>/artifacts/<artifact-path>
upvoted 1 times
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