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Microsoft Exam DP-100 Topic 1 Question 66 Discussion

Actual exam question for Microsoft's DP-100 exam
Question #: 66
Topic #: 1
[All DP-100 Questions]

You use the Azure Machine Learning SDK to run a training experiment that trains a classification model and calculates its accuracy metric.

The model will be retrained each month as new data is available.

You must register the model for use in a batch inference pipeline.

You need to register the model and ensure that the models created by subsequent retraining experiments are registered only if their accuracy is higher than the currently registered model.

What are two possible ways to achieve this goal? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

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Suggested Answer: C, E

E: Using tags, you can track useful information such as the name and version of the machine learning library used to train the model. Note that tags must be alphanumeric.


https://notebooks.azure.com/xavierheriat/projects/azureml-getting-started/html/how-to-use-azureml/deployment/register-model-create-image-deploy-service/register-model-create-image-deploy-service.ipynb

Contribute your Thoughts:

Neghir
2 years ago
Answer are D and E : model version is not a value that evaluates predictions performance
upvoted 1 times
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