What is Azure ML?Describe capabilities of AutoMLAutoML use casesTraining, validation, and test scenariosFeature engineeringEnsemble modelsDescribe data and compute services for data science and machine learningComputeDataDatastoreEnvironmentsModelWorkspacesSubscriptionStorage accountKey VaultApplication InsightsContainer RegistryDescribe model management and deployment capabilities in Azure MLModel management and deployment capabilitiesMLOpsBuild a machine learning model in Azure MLCreating a machine learning workspaceUsing AutoML to train a modelReviewing and selecting the best modelDeploying and testing the modelTesting the deployed model serviceTeardownSummaryExam Readiness Drill – Chapter Review QuestionsExam Readiness DrillWorking On Timing