Merge branch 'main' of https://github.com/MicrosoftDocs/azure-docs-pr into pl-tut-sql3

Author: halkazwini

articles/azure-arc/servers/manage-vm-extensions-cli.md

@@ -50,7 +50,7 @@ az connectedmachine extension create --resource-group "resourceGroupName" --mach
 The following example enables the Microsoft Antimalware extension on an Azure Arc-enabled Windows server:
 
 ```azurecli
-az connectedmachine extension create --resource-group "resourceGroupName" --machine-name "myMachineName" --location "regionName" --publisher "Microsoft.Azure.Security" --type "IaaSAntimalware" --name "IaaSAntimalware" --settings '{"AntimalwareEnabled": true}'
+az connectedmachine extension create --resource-group "resourceGroupName" --machine-name "myMachineName" --location "regionName" --publisher "Microsoft.Azure.Security" --type "IaaSAntimalware" --name "IaaSAntimalware" --settings '"{\"AntimalwareEnabled\": \"true\"}"'
 ```
 
 ## List extensions installed

articles/cognitive-services/language-service/custom-named-entity-recognition/media/select-custom-feature-azure-portal.png

@@ -63,8 +63,6 @@ Use the following JSON in your request. Replace the placeholder values below wit
 | multilingual | `true`| A boolean value that enables you to have documents in multiple languages in your dataset and when your model is deployed you can query the model in any supported language (not necessarily included in your training documents. See [language support](../../language-support.md#multi-lingual-option) to learn more about multilingual support.  | `true`|
 | storageInputContainerName | `{CONTAINER-NAME}` | The name of your Azure storage container where you have uploaded your documents.   | `myContainer` |
 
----
-
 # [Single label classification](#tab/single-classification)
 
 ```json

articles/cognitive-services/language-service/custom-text-classification/includes/rest-api/create-project.md

@@ -147,7 +147,7 @@ This quickstart will create a single Azure Cosmos DB account using the MongoDB A
 
 1. On the **New** page, search for and select **Azure Cosmos DB**.
 
-1. On the **Select API option** page, select the **Create** option within the **MongoDB** section. Azure Cosmos DB has five APIs: SQL, MongoDB, Gremlin, Table, and Cassandra. [Learn more about the MongoDB API](/azure/cosmos-db/mongodb/introduction.md).
+1. On the **Select API option** page, select the **Create** option within the **MongoDB** section. Azure Cosmos DB has five APIs: SQL, MongoDB, Gremlin, Table, and Cassandra. [Learn more about the MongoDB API](/azure/cosmos-db/mongodb/mongodb-introduction).
 
    :::image type="content" source="media/quickstart-javascript/cosmos-api-choices.png" lightbox="media/quickstart-javascript/cosmos-api-choices.png" alt-text="Screenshot of select A P I option page for Azure Cosmos D B.":::
 

articles/cognitive-services/language-service/custom-text-classification/media/select-custom-feature-azure-portal.png

@@ -145,7 +145,7 @@ The service provides the following performance optimization features:
 * [Parallel copy](#parallel-copy)
 * [Staged copy](#staged-copy)
 
-### <a id="data-integration-units">Data Integration Units</a>
+### <a id="data-integration-units"></a>Data Integration Units
 
 A Data Integration Unit (DIU) is a measure that represents the power of a single unit in Azure Data Factory and Synapse pipelines. Power is a combination of CPU, memory, and network resource allocation. DIU only applies to [Azure integration runtime](concepts-integration-runtime.md#azure-integration-runtime). DIU does not apply to [self-hosted integration runtime](concepts-integration-runtime.md#self-hosted-integration-runtime). [Learn more here](copy-activity-performance-features.md#data-integration-units).
 

articles/cosmos-db/mongodb/quickstart-javascript.md

@@ -267,7 +267,7 @@ Task |  Model algorithms | String literal syntax<br> ***`default_model`\**** den
 ---|----------|----------
 Image classification<br> (multi-class and multi-label)| **MobileNet**: Light-weighted models for mobile applications <br> **ResNet**: Residual networks<br> **ResNeSt**: Split attention networks<br> **SE-ResNeXt50**: Squeeze-and-Excitation networks<br> **ViT**: Vision transformer networks| `mobilenetv2`   <br>`resnet18` <br>`resnet34` <br> `resnet50`  <br> `resnet101` <br> `resnet152`    <br> `resnest50` <br> `resnest101`  <br> `seresnext`  <br> `vits16r224` (small) <br> ***`vitb16r224`\**** (base) <br>`vitl16r224` (large)|
 Object detection | **YOLOv5**: One stage object detection model   <br>  **Faster RCNN ResNet FPN**: Two stage object detection models  <br> **RetinaNet ResNet FPN**: address class imbalance with Focal Loss <br> <br>*Note: Refer to [`model_size` hyperparameter](reference-automl-images-hyperparameters.md#model-specific-hyperparameters) for YOLOv5 model sizes.*| ***`yolov5`\**** <br> `fasterrcnn_resnet18_fpn` <br> `fasterrcnn_resnet34_fpn` <br> `fasterrcnn_resnet50_fpn` <br> `fasterrcnn_resnet101_fpn` <br> `fasterrcnn_resnet152_fpn` <br> `retinanet_resnet50_fpn` 
-Instance segmentation | **MaskRCNN ResNet FPN**| `maskrcnn_resnet18_fpn` <br> `maskrcnn_resnet34_fpn` <br> ***`maskrcnn_resnet50_fpn`\****  <br> `maskrcnn_resnet101_fpn` <br> `maskrcnn_resnet152_fpn` <br>`maskrcnn_resnet50_fpn`
+Instance segmentation | **MaskRCNN ResNet FPN**| `maskrcnn_resnet18_fpn` <br> `maskrcnn_resnet34_fpn` <br> ***`maskrcnn_resnet50_fpn`\****  <br> `maskrcnn_resnet101_fpn` <br> `maskrcnn_resnet152_fpn`
 
 
 In addition to controlling the model algorithm, you can also tune hyperparameters used for model training. While many of the hyperparameters exposed are model-agnostic, there are instances where hyperparameters are task-specific or model-specific. [Learn more about the available hyperparameters for these instances](reference-automl-images-hyperparameters.md). 

articles/data-factory/copy-activity-performance.md

@@ -40,7 +40,7 @@ This is a collection of helper tools created as part of enterprise migrations fr
 ## migAz
 migAz is an additional option to migrate a complete set of classic IaaS resources to Azure Resource Manager IaaS resources. The migration can occur within the same subscription or between different subscriptions and subscription types (ex: CSP subscriptions).
 
-[Link to the tool documentation](https://github.com/Azure/migAz)
+- [Link to the tool documentation](https://social.technet.microsoft.com/wiki/contents/articles/52069.azure-resources-migration-with-migaz-tool.aspx)
 
 ## Next Steps