DP-100 Practice Test

Question 96

You create an Azure Machine Learning workspace and set up a development environment. You plan to train a deep neural network (DNN) by using the Tensorflow framework and by using estimators to submit training scripts. You must optimize computation speed for training runs. You need to choose the appropriate estimator to use as well as the appropriate training compute target configuration. Which values should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Hot Area:

Question 97

You have an Azure Machine Learning workspace named workspace1 that is accessible from a public endpoint. The workspace contains an Azure Blob storage datastore named store1 that represents a blob container in an Azure storage account named account1. You configure workspace1 and account1 to be accessible by using private endpoints in the same virtual network. You must be able to access the contents of store1 by using the Azure Machine Learning SDK for Python. You must be able to preview the contents of store1 by using Azure Machine Learning studio. You need to configure store1. What should you do? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Hot Area:

Question 98

You are using an Azure Machine Learning workspace. You set up an environment for model testing and an environment for production. The compute target for testing must minimize cost and deployment efforts. The compute target for production must provide fast response time, autoscaling of the deployed service, and support real-time inferencing. You need to configure compute targets for model testing and production. Which compute targets should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. Hot Area:

Question 99

You are using a Git repository to track work in an Azure Machine Learning workspace. You need to authenticate a Git account by using SSH. Which three 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 100

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?

1. run
2. get
3. backfill
4. update