You manage an Azure Machine Learning workspace named workspace1. You must develop Python SDK v2 code to attach an Azure Synapse Spark pool as a compute target in workspace1. The code must invoke the c

The correct answer is B. resource ID of the Synapse Spark pool and a user-defined name. The SynapseSparkCompute class constructor in Azure ML Python SDK v2 requires two key arguments: the resource ID of the Synapse Spark pool and a user-defined name for the compute target within the Azure ML workspace. The resource ID is a full Azure resource path that uniquely iden

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Question

You manage an Azure Machine Learning workspace named workspace1. You must develop Python SDK v2 code to attach an Azure Synapse Spark pool as a compute target in workspace1. The code must invoke the constructor of the SynapseSparkCompute class. You need to invoke the constructor. What should you use?

Options

ASynapse workspace web URL and Spark pool name
Bresource ID of the Synapse Spark pool and a user-defined name
Cpool URL of the Synapse Spark pool and a system-assigned name
DSynapse workspace name and workspace web URL

How the community answered

(40 responses)

A
5% (2)
B
93% (37)
C
3% (1)

Explanation

The SynapseSparkCompute class constructor in Azure ML Python SDK v2 requires two key arguments: the resource ID of the Synapse Spark pool and a user-defined name for the compute target within the Azure ML workspace. The resource ID is a full Azure resource path that uniquely identifies the Synapse Spark pool (e.g., '/subscriptions/.../providers/Microsoft.Synapse/workspaces/.../bigDataPools/...'). The user-defined name is how the compute target will be referenced within the Azure ML workspace. A Synapse workspace URL, pool URL, or system-assigned name are not the parameters used in the SynapseSparkCompute constructor.

Topics

#Azure Machine Learning#Synapse Spark Pool#Compute Target#Python SDK v2

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