Merge pull request #169961 from MicrosoftDocs/master

Merge master to live, Sunday 4pm

Author: v-andreaco

articles/azure-monitor/logs/logs-data-export.md

@@ -630,11 +630,7 @@ Supported tables are currently limited to those specified below. All data from t
 | DatabricksSQLPermissions |  |
 | DatabricksSSH |  |
 | DatabricksWorkspace |  |
-| DeviceFileEvents |  |
-| DeviceNetworkEvents |  |
 | DeviceNetworkInfo |  |
-| DeviceProcessEvents |  |
-| DeviceRegistryEvents |  |
 | DnsEvents |  |
 | DnsInventory |  |
 | DummyHydrationFact |  |
@@ -754,4 +750,4 @@ Supported tables are currently limited to those specified below. All data from t
 
 ## Next steps
 
-- [Query the exported data from Azure Data Explorer](../logs/azure-data-explorer-query-storage.md).
+- [Query the exported data from Azure Data Explorer](../logs/azure-data-explorer-query-storage.md).

articles/machine-learning/how-to-deploy-azure-kubernetes-service.md

@@ -161,6 +161,7 @@ To deploy a model to Azure Kubernetes Service, create a __deployment configurati
 ```python
 from azureml.core.webservice import AksWebservice, Webservice
 from azureml.core.model import Model
+from azureml.core.compute import AksCompute
 
 aks_target = AksCompute(ws,"myaks")
 # If deploying to a cluster configured for dev/test, ensure that it was created with enough
@@ -395,4 +396,4 @@ Azure Security Center provides unified security management and advanced threat p
 * [Use TLS to secure a web service through Azure Machine Learning](how-to-secure-web-service.md)
 * [Consume a ML Model deployed as a web service](how-to-consume-web-service.md)
 * [Monitor your Azure Machine Learning models with Application Insights](how-to-enable-app-insights.md)
-* [Collect data for models in production](how-to-enable-data-collection.md)
+* [Collect data for models in production](how-to-enable-data-collection.md)