You are developing a data science workspace that uses an Azure Machine Learning service. You need to select a compote target to deploy the workspace. What should you use?

The correct answer is D. Azure Container Service. Azure Container Instances can be used as compute target for testing or development. Use for low-scale CPU-based workloads that require less than 48 GB of RAM. https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-deploy-and-where

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Question

You are developing a data science workspace that uses an Azure Machine Learning service. You need to select a compote target to deploy the workspace. What should you use?

Options

AAzure Data Lake Analytics
BAzure Databrick .
CApache Spark for HDInsight.
DAzure Container Service

How the community answered

(25 responses)

A
4% (1)
D
96% (24)

Explanation

Azure Container Instances can be used as compute target for testing or development. Use for low-scale CPU-based workloads that require less than 48 GB of RAM. https://docs.microsoft.com/en-us/azure/machine-learning/service/how-to-deploy-and-where

Topics

#Azure Machine Learning#Compute Target#Workspace#Model Deployment

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