nerdexam
Microsoft

DP-100 · Question #157

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might h

The correct answer is B. No. The scikit-learn estimator provides a simple way of launching a scikit-learn training job on a compute target. It is implemented through the SKLearn class, which can be used to support single-node CPU training. from azureml.train.sklearn import SKLearn estimator = SKLearn(source_

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Question

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen. You have a Python script named train.py in a local folder named scripts. The script trains a regression model by using scikit-learn. The script includes code to load a training data file which is also located in the scripts folder. You must run the script as an Azure ML experiment on a compute cluster named aml-compute. You need to configure the run to ensure that the environment includes the required packages for model training. You have instantiated a variable named aml-compute that references the target compute cluster. Solution: Run the following code: Does the solution meet the goal?

Exhibit

DP-100 question #157 exhibit

Options

  • AYes
  • BNo

How the community answered

(27 responses)
  • A
    15% (4)
  • B
    85% (23)

Explanation

The scikit-learn estimator provides a simple way of launching a scikit-learn training job on a compute target. It is implemented through the SKLearn class, which can be used to support single-node CPU training. from azureml.train.sklearn import SKLearn estimator = SKLearn(source_directory=project_folder, compute_target=compute_target, entry_script='train_iris.py' https://docs.microsoft.com/en-us/azure/machine-learning/how-to-train-scikit-learn

Topics

#Azure ML Experiments#Environment Management#Python Package Dependencies#ScriptRunConfig

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