DP-100 Free Practice Questions — Page 16

Question 159

You create an Azure Machine Learning workspace. You are implementing hyperparameter tuning for a model training from a notebook. You must configure a Bandit termination policy that provides the following outcome: If the value of the primary metric of AUC is 0.8 at the point of evaluation intervals, any run with the primary metric value below 0.66 will be terminated. You need to identify which Bandit termination policy configuration to use. What should you identify?

Question 160

DRAG DROP - You create an Azure Machine Learning workspace. You are training a classification model with no-code AutoML in Azure Machine Learning studio. The model must predict if a client of a financial institution will subscribe to a fixed-term deposit. You must preview the data profile in Azure Machine Learning studio once the dataset is created. You need to train the model. Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Question 161

HOTSPOT - You create an Azure Machine Learning workspace and install the MLflow library. You need to log different types of data by using the MLflow library. Which method should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

Question 162

HOTSPOT - You are designing a machine learning solution. You have the following requirements: • Use a training script to train a machine learning model. • Build a machine learning proof of concept without the use of code or script. You need to select a development tool for each requirement. Which development tool should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

Question 163

HOTSPOT - You train classification and regression models by using automated machine learning. You must evaluate automated machine learning experiment results. The results include how a classification model is making systematic errors in its predictions and the relationship between the target feature and the regression model’s predictions. You must use charts generated by automated machine learning. You need to choose a chart type for each model type. Which chart types should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

Question 164

You manage an Azure Machine Learning workspace by using the Azure CLI ml extension v2. You need to define a YAML schema to create a compute cluster. Which schema should you use?

Question 165

DRAG DROP - You have an existing GitHub repository containing Azure Machine Learning project files. You need to clone the repository to your Azure Machine Learning shared workspace file system. Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

Question 166

DRAG DROP - You create an Azure Machine Learning workspace. You need to use the shared file system of the workspace to store a clone of a private Git repository. Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Question 167

You use the Azure Machine Learning SDK for Python v1 and notebooks to train a model. You create a compute target, an environment, and a training script by using Python code. You need to prepare information to submit a training run. Which class should you use?

Question 168

You create an Azure Machine Learning workspace. You use Azure Machine Learning designer to create a pipeline within the workspace. You need to submit a pipeline run from the designer. What should you do first?