Microsoft Microsoft Certifications DP-100 Questions & Answers

• Question 51:

  HOTSPOT

  You have an Azure Machine Learning workspace

  You plan to use the Azure Machine Learning SDK for Python v1 to submit a job to run a training script.

  You need to complete the script to ensure that it will execute the training script.

  How should you complete the script? To answer, select the appropriate options in the answer area.

  NOTE: Each correct selection is worth one point

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• Question 52:

  HOTSPOT

  You have machine learning models produce unfair predictions across sensitive features.

  You must use a post-processing technique to apply a constraint to the models to mitigate their unfairness.

  You need to select a post-processing technique and model type.

  What should you use? To answer, select the appropriate options in the answer area.

  NOTE: Each correct selection is worth one point.

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• Question 53:

  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.

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• Question 54:

  HOTSPOT

  You create an Azure Machine learning workspace and load a Python training script named tram.py in the src subfolder. The dataset used to train your model is available locally. You run the following script to tram the model:

  

  instructions: For each of the following statements, select Yes if the statement is true. Otherwise, select No.

  NOTE: Each correct selection is worth one point

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• Question 55:

  HOTSPOT

  You create an Azure Machine Learning workspace. You use the Azure Machine Learning SDK for Python.

  You must create a dataset from remote paths. The dataset must be reusable within the workspace.

  You need to create the dataset.

  How should you complete the following code segment? To answer, select the appropriate options in the answer area.

  NOTE: Each correct selection is worth one point.

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• Question 56:

  HOTSPOT

  You create an Azure Data Lake Storage Gen2 stowage account named storage1 containing a file system named fsi and a folder named folder1.

  The contents of folder1 must be accessible from jobs on compute targets in the Azure Machine Learning workspace.

  You need to construct a URl to reference folder1.

  How should you construct the URI? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

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• Question 57:

  HOTSPOT

  You are implementing hyperparameter tuning for a model training from a notebook. The notebook is in an Azure Machine Learning workspace. You add code that imports all relevant Python libraries.

  You must configure Bayesian sampling over the search space for the num_hidden_layers and batch_size hyperparameters.

  You need to complete the following Python code to configure Bayesian sampling.

  Which code segments should you use? To answer, select the appropriate options in the answer area

  NOTE: Each correct selection is worth one point.

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• Question 58:

  HOTSPOT

  You create an Azure Machine Learning workspace and a dataset. The dataset includes age values for a large group of diabetes patients. You use the dp.mean function from the SmartNoise library to calculate the mean of the age value. You

  store the value in a variable named age.mean.

  You must output the value of the interval range of released mean values that will be returned 95 percent of the time.

  You need to complete the code.

  Which code values should you use? To answer, select the appropriate options in the answer area

  NOTE: Each correct selection is worth one point.

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• Question 59:

  HOTSPOT

  You have an Azure Machine Learning workspace.

  You run the following code in a Python environment in which the configuration file for your workspace has been downloaded.

  

  instructions: For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.

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• Question 60:

  HOTSPOT

  You create an experiment in Azure Machine Learning Studio- You add a training dataset that contains 10.000 rows. The first 9.000 rows represent class 0 (90 percent). The first 1.000 rows represent class 1 (10 percent).

  The training set is unbalanced between two Classes. You must increase the number of training examples for class 1 to 4,000 by using data rows. You add the Synthetic Minority Oversampling Technique (SMOTE) module to the experiment.

  You need to configure the module.

  Which values should you use? To answer, select the appropriate options in the dialog box in the answer area.

  NOTE: Each correct selection is worth one point.

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