pull base content,head:MicrosoftDocs:main,into:wwlpublishsync

Author: wwlpublish

.openpublishing.redirection.json

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learn-pr/achievements/learn.azure.azure-spatial-anchors-tutorials-mrtk.badge.yml

@@ -1,6 +1,6 @@
 Throughout the module series, you have learned about the features you will implement and how Azure Cloud services tie in to making your HoloLens 2 application. You added the required components into the project and prepared the scene for this module series. 
 
-You can now store data and images in the cloud with Azure Storage, use Azure AI Custom Vision to associate images and train a model, and bring objects to a local context with Azure Spatial Anchors.
+You can now store data and images in the cloud with Azure Storage, use Azure AI Custom Vision to associate images and train a model.
 
 ## Next steps
 

learn-pr/azure/azure-cloud-services-tutorials/8-integrate-azure-spatial-anchors.yml

@@ -8,10 +8,6 @@ Azure Storage includes object, file, disk, queue, and table storage. There are a
 
 With Azure AI Custom Vision (part of the Azure AI services) you can associate a set of images to Tracked Objects, train a machine-learning model on the set you created, and detect the Tracked Object.
 
-## Azure Spatial Anchors
-
-Azure Spatial Anchors is a managed cloud service and platform that enables multiuser, spatially aware mixed-reality and augmented-reality (MR/AR) apps for HoloLens, iOS devices with ARKit, and Android devices with ARCore.
-
 ## InternetClient
 
 Apps can receive incoming data from the Internet. InternetClient can't act as a server and has no local network access.

learn-pr/azure/azure-cloud-services-tutorials/9-exercise-integrate-azure-spatial-anchors.yml

@@ -27,10 +27,6 @@ You'll use [Azure Storage](https://azure.microsoft.com/services/storage/) to per
 
 With [Azure AI Custom Vision](https://azure.microsoft.com/services/cognitive-services/custom-vision-service/) (part of the [Azure AI services](https://azure.microsoft.com/services/cognitive-services/)) you can associate a set of images to Tracked Objects, train a machine learning model on the set you created, and detect the Tracked Objects.
 
-### Azure Spatial Anchors
-
-To store a Tracked Object location and give guided directions to find it, you'll use [Azure Spatial Anchors](https://azure.microsoft.com/services/spatial-anchors/).
-
 ## Create and prepare the Unity project
 
 In this section, you'll create a new Unity project and get it ready for MRTK development.
@@ -46,8 +42,6 @@ First, follow the steps in [the HoloLens 2 learning path](/training/paths/beginn
 
 ## Import the tutorial assets
 
-1. Add the `AzurespatialAnchors` SDK to your project. To add the package, [follow this tutorial](/azure/spatial-anchors/how-tos/setup-unity-project?tabs=UPMPackage).
-
 1. Download and import the following Unity custom packages *in the order they're listed*:
 
     * [AzureStorageForUnity.unitypackage](https://github.com/microsoft/MixedRealityLearning/releases/download/azure-cloud-services-v3.0.0/AzureStorageForUnity.unitypackage)

learn-pr/azure/azure-cloud-services-tutorials/includes/13-summary.md

@@ -8,7 +8,7 @@ Learn more about [Azure storage services](/azure/storage/blobs/storage-blobs-ove
 
 ### Azure Table storage
 
-This service allows us to store data in a NoSQL fashion. In our project, we'll use it to store information about the Tracked Object, such as name, description, spatial anchor ID, and more.
+This service allows us to store data in a NoSQL fashion. In our project, we'll use it to store information about the Tracked Object, such as name, description, and more.
 
 In context of the demo application, you'll need two tables; one to store information about the project with information about the state of trained models (more about that in the *Integrate Azure Custom Vision* exercise later in this module), and a second table to store information about Tracked Objects.