Automated Machine Learning in Azure Quiz

What you'll be asked

1. What is the primary benefit of using Automated Machine Learning (AutoML) in Azure Machine Learning?
2. When configuring an AutoML job for a classification task in Azure Machine Learning, which metric is typically the *default* primary metric to optimize?
3. You are using Azure ML AutoML for a regression problem. The default settings are exploring various models and hyperparameter combinations. After the run, you observe that the best model has a very high R-squared value but also a high Mean Absolute Error (MAE). What might this indicate?
4. Which of the following is NOT a typical preprocessing step that Azure ML AutoML performs automatically?
5. You've trained an AutoML model for a time-series forecasting task and want to evaluate its performance on unseen future data. Which evaluation metric would be most appropriate to consider for assessing how well the model predicts future values, especially if the magnitude of errors is important?

Answers and explanations come after you submit.