You're using Azure Machine Learning designer to create a training pipeline for a binary classification model. You've added a dataset containing features and labels, a Two-Class Decision Forest module, and a Train Model module. You plan to use Score Model and Evaluate Model modules to test the trained model with a subset of the dataset that wasn't used for training. What's another module should you add? Join DataSplit DataSelect Columns in Dataset

You use an Azure Machine Learning designer pipeline to train and test a binary classification model. You review the model's performance metrics in an Evaluate Model module, and note that it has an AUC score of 0.3. What can you conclude about the model? The model can explain 30% of the variance between true and predicted labels.The model predicts accurately for 70% of test cases.The model performs worse than random guessing.

. 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

3. Why do you split data into training and validation sets? Data is split into two sets in order to create two models, one model with the training set and a different model with the validation set.Splitting data into two sets enables you to train the model with the training set and test the model on unseen data from the test set.Only split data when you use the Azure Machine Learning Designer, not in other machine learning scenarios.

You use Azure Machine Learning designer to create a training pipeline for a clustering model. Now you want to use the model in an inference pipeline. Which module should you use to infer cluster predictions from the model? Score ModelAssign Data to ClustersTrain Clustering Model

You need to create a new pipeline to train a regression model using Azure ML Designer. You ingest your data for the model and drop it on the canvas. What module would you typically drag-and-drop next on the canvas?Response: Select Columns in Dataset Train ModelClean Missing dataNormalize DataSplit Data