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Câu 27: AI-300: Operationalizing Machine Learning and Generative AI Solutions

A data science team completes multiple training runs within an experiment by using MLflow. The team wants to store a selected model in Azure Machine Learning so that it can be versioned and deployed later. The model must be versioned centrally for reuse across environments. You need to version the trained model. Which…

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A data science team completes multiple training runs within an experiment by using MLflow. The team wants to store a selected model in Azure Machine Learning so that it can be versioned and deployed later. The model must be versioned centrally for reuse across environments. You need to version the trained model. Which two actions should you perform? Each correct answer presents part of the solution. Choose two.NOTE: Each correct selection is worth one point.

Các lựa chọn

Đáp án được giữ gọn theo nhãn A, B, C, D trong phần bình chọn tương tác.

  1. A. Locate and capture the model artifacts from the outputs of the training run. — đáp án hiện tại
  2. B. Register the model in the Azure Machine Learning workspace. — đáp án hiện tại
  3. C. Tag the training experiment with a name.
  4. D. Export the model files to local storage.

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