Merge pull request #110526 from sidramadoss/patch-66

Update stream-analytics-previews.md

Author: PRMerger13

articles/stream-analytics/stream-analytics-previews.md

@@ -42,9 +42,9 @@ You can test your queries against live data on your local machine before submitt
 Azure Stream Analytics jobs can be authored in Visual Studio Code. See our [VS Code getting started tutorial](https://docs.microsoft.com/azure/stream-analytics/quick-create-vs-code).
 
 
-### Integration with Azure Machine Learning
+### Real-time high performance scoring with custom ML models managed by Azure Machine Learning
 
-You can scale Stream Analytics jobs with Machine Learning (ML) functions. To learn more about how you can use ML functions in your Stream Analytics job, visit [Scale your Stream Analytics job with Azure Machine Learning functions](stream-analytics-scale-with-machine-learning-functions.md). Check out a real-world scenario with [Performing sentiment analysis by using Azure Stream Analytics and Azure Machine Learning](stream-analytics-machine-learning-integration-tutorial.md).
+Azure Stream Analytics supports high-performance, real-time scoring by leveraging custom pre-trained Machine Learning models managed by Azure Machine Learning, and hosted in Azure Kubernetes Service (AKS) or Azure Container Instances (ACI), using a workflow that does not require you to write code. [Sign up](https://aka.ms/asapreview1) for preview
 
 
 ### Live data testing in Visual Studio
@@ -60,10 +60,6 @@ With .NET standard user-defined functions, you can run .NET Standard code as par
 
 The following features are also available in preview on request.
 
-### Real-time high performance scoring with custom ML models managed by Azure Machine Learning
-
-Azure Stream Analytics supports high-performance, real-time scoring by leveraging custom pre-trained Machine Learning models managed by Azure Machine Learning, and hosted in Azure Kubernetes Service (AKS) or Azure Container Instances (ACI), using a workflow that does not require you to write code. [Sign up](https://aka.ms/asapreview1) for preview
-
 ### Support for Azure Stack
 This feature enabled on the Azure IoT Edge runtime, leverages custom Azure Stack features, such as native support for local inputs and outputs running on Azure Stack (for example Event Hubs, IoT Hub, Blob Storage). This new integration enables you to build hybrid architectures that can analyze your data close to where it is generated, lowering latency and maximizing insights.
 This feature enables you to build hybrid architectures that can analyze your data close to where it is generated, lowering latency and maximizing insights. You must [sign up](https://aka.ms/asapreview1) for this preview.