From 7d4b72a7a4724c19c8bc80f7456327f2ce27dd65 Mon Sep 17 00:00:00 2001 From: Amagash Date: Thu, 30 Sep 2021 00:27:09 +0200 Subject: [PATCH] Delete post -lecture quizz and answers from readme --- 5-Data-Science-In-Cloud/19-Azure/README.md | 12 ------------ 1 file changed, 12 deletions(-) diff --git a/5-Data-Science-In-Cloud/19-Azure/README.md b/5-Data-Science-In-Cloud/19-Azure/README.md index adcb3141..be76915d 100644 --- a/5-Data-Science-In-Cloud/19-Azure/README.md +++ b/5-Data-Science-In-Cloud/19-Azure/README.md @@ -290,18 +290,6 @@ Congratulations! You just consumed the model deployed and trained on Azure ML wi ## [Post-lecture quiz](https://red-water-0103e7a0f.azurestaticapps.net/quiz/37) -1. What is the reason for creating an AutoMLConfig? - 1. It is where the training and the testing data are split - 2. TRUE : It provides all the details of your AutoML experiment - 3. It is where you specify the model to be trained -2. Which of the following metrics is supported by Automated ML for a classification task? - 1. TRUE : accuracy - 2. r2_score - 3. normalized_root_mean_error -3. What is NOT an advantage of using the SDK? - 1. It can be used to automate multiple tasks and runs - 2. It makes it easier to programmatically edit runs - 3. It can be used throught a Graphical User Interface ## Review & Self Study In this lesson, you learned how to train, deploy and consume a model to predict heart failure risk with the Azure ML SDK in the cloud. Check this [documentation](https://docs.microsoft.com/python/api/overview/azure/ml/?view=azure-ml-py?WT.mc_id=academic-40229-cxa&ocid=AID3041109) for further information about the Azure ML SDK. Try to create your own model with the Azure ML SDK.