DP-100 Exam Question 71
You use the Azure Machine Learning service to create a tabular dataset named training.data. You plan to use this dataset in a training script.
You create a variable that references the dataset using the following code:
training_ds = workspace.datasets.get( " training_data " )
You define an estimator to run the script.
You need to set the correct property of the estimator to ensure that your script can access the training.data dataset Which property should you set?
You create a variable that references the dataset using the following code:
training_ds = workspace.datasets.get( " training_data " )
You define an estimator to run the script.
You need to set the correct property of the estimator to ensure that your script can access the training.data dataset Which property should you set?
DP-100 Exam Question 72
You use Azure Machine Learning Designer lo load the following datasets into an experiment:
Dataset1:
Dataset2:
You need to create a dataset that has the same columns and header row as the input datasets and contains all rows from both input datasets.
Solution: Use the Add Rows component.
Does the solution meet the goal?
Dataset1:
Dataset2:
You need to create a dataset that has the same columns and header row as the input datasets and contains all rows from both input datasets.
Solution: Use the Add Rows component.
Does the solution meet the goal?
DP-100 Exam Question 73
You manage an Azure Machine Learning workspace named workspace!.
You plan to author custom pipeline components by using Azure Machine Learning Python SDK v2.
You must transform the Python code into a YAML specification that can be processed by the pipeline service.
You need to import the Python library that provides the transformation functionality.
Which Python library should you import?
You plan to author custom pipeline components by using Azure Machine Learning Python SDK v2.
You must transform the Python code into a YAML specification that can be processed by the pipeline service.
You need to import the Python library that provides the transformation functionality.
Which Python library should you import?
DP-100 Exam Question 74
You train and register a model in your Azure Machine Learning workspace.
You must publish a pipeline that enables client applications to use the model for batch inferencing. You must use a pipeline with a single ParallelRunStep step that runs a Python inferencing script to get predictions from the input data.
You need to create the inferencing script for the ParallelRunStep pipeline step.
Which two functions should you include? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
You must publish a pipeline that enables client applications to use the model for batch inferencing. You must use a pipeline with a single ParallelRunStep step that runs a Python inferencing script to get predictions from the input data.
You need to create the inferencing script for the ParallelRunStep pipeline step.
Which two functions should you include? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
DP-100 Exam Question 75
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.
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.
