DP-100 Free Practice Questions — Page 23

Question 232

You train and register a machine learning model. You create a batch inference pipeline that uses the model to generate predictions from multiple data files. You must publish the batch inference pipeline as a service that can be scheduled to run every night. You need to select an appropriate compute target for the inference service. Which compute target should you use?

Question 233

You have an Azure Machine Learning workspace named workspace1. You must add a datastore that connects an Azure Blob storage container to workspace1. You must be able to configure a privilege level. You need to configure authentication. Which authentication method should you use?

Question 234

You plan to create a compute instance as part of an Azure Machine Learning development workspace. You must interactively debug code running on the compute instance by using Visual Studio Code Remote. You need to provision the compute instance. What should you do?

Question 236

HOTSPOT - You are developing a two-step Azure Machine Learning pipeline by using the Azure Machine Learning SDK for Python. The pipeline must pass temporary data from the first step to the second step. You need to configure the second step to ensure that it can use the temporary data from the first step. Which class and method should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Hot Area:

Question 237

DRAG DROP - You create an Azure Machine Learning workspace and a new Azure DevOps organization. You register a model in the workspace and deploy the model to the target environment. All new versions of the model registered in the workspace must automatically be deployed to the target environment. You need to configure Azure Pipelines to deploy 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. Select and Place:

Question 238

HOTSPOT - You use an Azure Machine Learning workspace. You create the following Python code: For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. Hot Area:

Question 239

You develop a machine learning project on a local machine. The project uses the Azure Machine Learning SDK for Python. You use Git as version control for scripts. You submit a training run that returns a Run object. You need to retrieve the active Git branch for the training run. Which two code segments should you use? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

Question 240

HOTSPOT - You are the owner of an Azure Machine Learning workspace. You must prevent the creation or deletion of compute resources by using a custom role. You must allow all other operations inside the workspace. You need to configure the custom role. How should you complete the configuration? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Hot Area:

Question 241

You use Azure Machine Learning to train a model based on a dataset named dataset1. You define a dataset monitor and create a dataset named dataset2 that contains new data. You need to compare dataset1 and dataset2 by using the Azure Machine Learning SDK for Python. Which method of the DataDriftDetector class should you use?

Question 242

You use an Azure Machine Learning workspace. You have a trained model that must be deployed as a web service. Users must authenticate by using Azure Active Directory. What should you do?