You have an Azure Machine Learning workspace. You build a deep learning model.You need to publish a GPU-enabled model as a web service.Which two compute targets can you use? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.

Azure Container Instances (ACI)

Azure Machine Learning compute clusters

You create a binary classification model. You use the Fairlearn package to assess model fairness. You must eliminate the need to retrain the model. You need to implement the Fair learn package. Which algorithm should you use?

fairlearn.preprocessing.CorrelationRemover

fairlearn.reductions.ExponentiatedGradient

fatrlearn.reductions.GridSearch

fair Icarn.postprocessing.ThresholdOplimizer

fairlearn.preprocessing.CorrelationRemover

Create an instance of the the MLCIient class.

Create an instance of the OnlineDeploymentOperations class.

Connect by using SSH to the inference server.

Connect by using Docker tools to the inference server.

Run a %pip magic function on the compute instance.

Run a !pip magic function on the compute instance.

Navigate to another section of the workspace.

begin create or update method of a stance of the azure.ai. imLMLCSentdass

constructor of the azure ai.ml. ComputerPowerAction enemy

set resources method of an instance of the azureai.ml. Command class

begin create or update method of a stance of the azure.ai. imLMLCSentdass

contractor of the azure.ai.ml. mLComputeSchedule class

Azure Machine Learning coulee clusters

Azure Container instances (ACI)

You are using Azure Machine Learning to monitor a trained and deployed model. You implement Event Grid to respond to Azure Machine Learning events.

Model performance has degraded due to model input data changes.

You need to trigger a remediation ML pipeline based on an Azure Machine Learning event.

Which event should you use?

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