from azure.ai.ml.dsl import pipelinefrom azure.ai.ml import MLClientfrom azure.identity import DefaultAzureCredential, InteractiveBrowserCredentialfrom azure.ai.ml.entities import CommandComponent, PipelineComponent, Job, Componentfrom azure.ai.ml import PyTorchDistribution, Inputfrom azure.ai.ml.constants import AssetTypesfrom azure.ai.ml.entities import Datafrom azure.ai.ml.constants import AssetTypes, InputOutputModesfrom azure.ai.ml import Input

You can either define the pipeline using YAML syntax or through the user interface in Azure pipelineSelect one:TrueFalse

. You use Azure Machine Learning designer to create a training pipeline for a classification model. What must you do before deploying the model as a service? Create an inference pipeline from the training pipelineAdd an Evaluate Model module to the training pipelineClone the training pipeline with a different name

You want to extract text from images and then use Azure AI Language to analyze the text. You want developers to require only one key and endpoint to access all of your services. What kind of resource should you create in your Azure subscription? Azure AI VisionAzure AI servicesAzure AI Language

What is an Azure AI services resource?

. You want to use the Azure AI Vision service to analyze images. You also want to use the Azure AI Language service to analyze text. You want developers to require only one key and endpoint to access all of your services. What kind of resource should you create in your Azure subscription? Azure AI VisionAzure AI servicesAzure OpenAI service