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You are using Azure Machine Learning to train machine learning models. You need a compute target on which to remotely run the training script
HOTSPOT You are using Azure Machine Learning to train machine learning models. You need a compute target on which to remotely run the training script. You run the following Python code: View AnswerAnswer: Explanation: Box 1: Yes The compute is created within your workspace region as a resource that can...
What should you advise the IT Operations team to do?
An organization creates and deploys a multi-class image classification deep learning model that uses a set of labeled photographs. The software engineering team reports there is a heavy inferencing load for the prediction web services during the summer. The production web service for the model fails to meet demand despite...
You are using Azure Machine Learning to train machine learning models. You need a compute target on which to remotely run the training script
HOTSPOT You are using Azure Machine Learning to train machine learning models. You need a compute target on which to remotely run the training script. You run the following Python code: View AnswerAnswer: Explanation: Box 1: Yes The compute is created within your workspace region as a resource that can...
Which properties should you select?
HOTSPOT You need to identify the methods for dividing the data according to the testing requirements. Which properties should you select? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. View AnswerAnswer: Explanation: Scenario: Testing You must produce multiple partitions of...
Which four actions should you perform in sequence?
DRAG DROP You train and register a model by using the Azure Machine Learning SDK on a local workstation. Python 3.6 and Visual Studio Code are installed on the workstation. When you try to deploy the model into production as an Azure Kubernetes Service (AKS)-based web service, you experience an...
What should you do?
You deploy a real-time inference service for a trained model. The deployed model supports a business-critical application, and it is important to be able to monitor the data submitted to the web service and the predictions the data generates. You need to implement a monitoring solution for the deployed model...
Which environment should you use?
You need to select an environment that will meet the business and data requirements. Which environment should you use?A . Azure HDInsight with Spark MLlib B. Azure Cognitive Services C. Azure Machine Learning Studio D. Microsoft Machine Learning ServerView AnswerAnswer: D
How should you configure the module?
HOTSPOT You have a dataset that contains 2,000 rows. You are building a machine learning classification model by using Azure Learning Studio. You add a Partition and Sample module to the experiment. You need to configure the module. You must meet the following requirements: ✑ Divide the data into subsets...
Which configuration options should you select?
HOTSPOT You need to configure the Edit Metadata module so that the structure of the datasets match. Which configuration options should you select? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. View AnswerAnswer: Explanation: Box 1: Floating point Need floating...
Which module you should use for each step?
DRAG DROP You have a model with a large difference between the training and validation error values. You must create a new model and perform cross-validation. You need to identify a parameter set for the new model using Azure Machine Learning Studio. Which module you should use for each step?...
