Merge branch 'main' of https://github.com/sherzyang/learn-pr

Author: Sherry Yang

learn-pr/advocates/deploy-java-ee-app-to-jboss-app-service/includes/3-exercise-deploy-azure-database-mysql.md

@@ -100,6 +100,8 @@ export MYSQL_USER=<MySQL-admin-user-name>
 export MYSQL_PASSWORD=<MySQL-password>
 ```
 
+[!INCLUDE [security-note](../../../includes/security-note.md)]
+
 ## Get data from the sample database
 
 In this module, you use a sample database called `world` from the official MySQL website. To get the data, use the following steps:

learn-pr/advocates/monitor-azure-machine-learning/1-introduction.yml

@@ -3,7 +3,7 @@ uid: learn.introduction-to-azure-machine-learning-monitoring.introduction
 title: Introduction
 metadata:
   title: Introduction
-  description: Introduction to monitoring Azure Machine Learning
+  description: Introduction to monitoring Azure Machine Learning.
   ms.date: 03/15/2025
   author: Orin-Thomas
   ms.author: viniap

learn-pr/advocates/monitor-azure-machine-learning/10-summary.yml

@@ -3,7 +3,7 @@ uid: learn.introduction-to-azure-machine-learning-monitoring.summary
 title: Summary
 metadata:
   title: Summary
-  description: Module summary
+  description: Module summary.
   ms.date: 03/15/2025
   author: Orin-Thomas
   ms.author: viniap

learn-pr/advocates/monitor-azure-machine-learning/2-monitoring-azure-machine-learning-workspace-compute.yml

@@ -2,8 +2,8 @@
 uid: learn.introduction-to-azure-machine-learning-monitoring.monitoring-azure-machine-learning-workspace-compute
 title: Monitoring Azure Machine Learning workspaces and compute
 metadata:
-  title: Monitoring Azure Machine Learning workspaces and compute
-  description: Learn about monitoring Azure Machine Learning workspaces and compute
+  title: Monitoring Azure Machine Learning Workspaces and Compute
+  description: Learn about monitoring Azure Machine Learning workspaces and compute.
   ms.date: 03/15/2025
   author: Orin-Thomas
   ms.author: viniap

learn-pr/advocates/monitor-azure-machine-learning/3-azure-monitor-platform-metrics.yml

@@ -2,8 +2,8 @@
 uid: learn.introduction-to-azure-machine-learning-monitoring.azure-monitor-platform-metrics
 title: Azure Monitor platform metrics
 metadata:
-  title: Azure Monitor platform metrics
-  description: Discover how to use Azure Monitor platform metrics to monitor Azure Machine Learning resources
+  title: Azure Monitor Platform Metrics
+  description: Discover how to use Azure Monitor platform metrics to monitor Azure Machine Learning resources.
   ms.date: 03/15/2025
   author: Orin-Thomas
   ms.author: viniap

learn-pr/advocates/monitor-azure-machine-learning/4-azure-monitor-resource-logs.yml

@@ -2,8 +2,8 @@
 uid: learn.introduction-to-azure-machine-learning-monitoring.azure-monitor-resource-logs
 title: Azure Monitor resource logs
 metadata:
-  title: Azure Monitor resource logs
-  description: This unit helps you understand how to use Azure Monitor resource logs to monitor Azure Machine Learning resources
+  title: Azure Monitor Resource Logs
+  description: This unit helps you understand how to use Azure Monitor resource logs to monitor Azure Machine Learning resources.
   ms.date: 03/15/2025
   author: Orin-Thomas
   ms.author: viniap

learn-pr/advocates/monitor-azure-machine-learning/5-azure-monitor-alerts.yml

@@ -1,9 +1,9 @@
 ### YamlMime:ModuleUnit
 uid: learn.introduction-to-azure-machine-learning-monitorin.azure-monitor-alerts
-title: Azure Monitor and Alerts
+title: Azure Monitor and alerts
 metadata:
   title: Azure Monitor and Alerts
-  description: Learn how to use Azure Monitor and Alerts to monitor Azure Machine Learning resources
+  description: Learn how to use Azure Monitor and alerts to monitor Azure Machine Learning resources.
   ms.date: 03/15/2025
   author: Orin-Thomas
   ms.author: viniap

learn-pr/advocates/monitor-azure-machine-learning/6-online-endpoints.yml

@@ -2,8 +2,8 @@
 uid: learn.introduction-to-azure-machine-learning-monitoring.online-endpoints
 title: Online endpoints
 metadata:
-  title: Online endpoints
-  description: Learn how to monitor Azure Machine Learning online endpoints
+  title: Online Endpoints
+  description: Learn how to monitor Azure Machine Learning online endpoints.
   ms.date: 03/15/2025
   author: Orin-Thomas
   ms.author: viniap

learn-pr/advocates/monitor-azure-machine-learning/7-azure-machine-learning-model-monitoring.yml

@@ -2,8 +2,8 @@
 uid: learn.introduction-to-azure-machine-learning-monitoring.azure-machine-learning-model-monitoring
 title: Azure Machine Learning model monitoring
 metadata:
-  title: Azure Machine Learning model monitoring
-  description: Learn how to monitor Azure Machine Learning models
+  title: Azure Machine Learning Model Monitoring
+  description: Learn how to monitor Azure Machine Learning models.
   ms.date: 03/15/2025
   author: Orin-Thomas
   ms.author: viniap

learn-pr/advocates/monitor-azure-machine-learning/9-knowledge-check.yml

@@ -1,9 +1,9 @@
 ### YamlMime:ModuleUnit
 uid: learn.introduction-to-azure-machine-learning-monitoring.knowledge-check
-title: Knowledge Check
+title: Knowledge check
 metadata:
   title: Knowledge Check
-  description: Check your knowledge
+  description: Check your knowledge.
   ms.date: 03/15/2025
   author: Orin-Thomas
   ms.author: viniap
@@ -16,32 +16,32 @@ quiz:
       choices:
         - content: "Monitor Azure Machine Learning performance."
           isCorrect: true
-          explanation: "Administrators are primarily responsible for the Azure infrastructure on which an Azure Machine Learning workspace and models run"
-        - content: "Monitor Workflow issues."
+          explanation: "Administrators are primarily responsible for the Azure infrastructure on which an Azure Machine Learning workspace and models run."
+        - content: "Monitor workflow problems."
           isCorrect: false
-          explanation: "Both Administrators and Machine Learning professionals are responsible for monitoring Azure Machine Learning workspace related issues and performance"
-        - content: "Monitor Azure Machine Learning Models."
+          explanation: "Both administrators and machine learning professionals are responsible for monitoring problems and performance related to Azure Machine Learning workspaces."
+        - content: "Monitor Azure Machine Learning models."
           isCorrect: false
-          explanation: "Machine Learning professionals and data scientists are primarily responsible for monitoring model performance"
-    - content: "You can use Kusto Query Language (KQL) to query your Log Analytics workspace associated with your Azure Machine Learning workspace. What is a first step necessary for to accomplish this goal?"
+          explanation: "Machine learning professionals and data scientists are primarily responsible for monitoring model performance."
+    - content: "You can use KQL to query the Log Analytics workspace that's associated with your Azure Machine Learning workspace. What is a necessary first step for accomplishing this goal?"
       choices:
         - content: "Log Analytics is configured by default."
           isCorrect: false
-          explanation: "Only metrics are enabled by default on Azure Machine Learning. Logs can be exported to Log Analytics by setting up Diagnostics settings"
-        - content: "Configure Diagnostic Settings."
+          explanation: "Only metrics are enabled by default on Azure Machine Learning. You can export logs to Log Analytics by setting up diagnostic settings."
+        - content: "Configure diagnostic settings."
           isCorrect: true
-          explanation: "By configuring Diagnostic settings, you can enable logs to be exported to a Log Analytics workspace"
+          explanation: "By configuring diagnostic settings, you can enable logs to be exported to a Log Analytics workspace."
         - content: "Enable metrics for the Azure Machine Learning workspace."
           isCorrect: false
-          explanation: "Metrics are enabled by default and can be seen on the Azure Machine Learning resource inside the Azure portal"
-    - content: "How can you monitor metrics for Azure Machine Learning Online Endpoints?"
+          explanation: "Metrics are enabled by default and appear on the Azure Machine Learning resource inside the Azure portal."
+    - content: "How can you monitor metrics for Azure Machine Learning online endpoints?"
       choices:
         - content: "Inside the Azure Machine Learning workspace."
           isCorrect: false
-          explanation: "Online Endpoints are deployed as separate Azure resources, and their metrics are available separately"
+          explanation: "Online endpoints are deployed as separate Azure resources, and their metrics are available separately."
         - content: "By default, as a separate Azure resource."
           isCorrect: true
-          explanation: "Online Endpoints are deployed as separate Azure resources, but metrics are enabled by default in the Azure portal"
-        - content: "Manually configure Azure Monitor to monitor the Online Endpoint."
+          explanation: "Online endpoints are deployed as separate Azure resources, but metrics are enabled by default in the Azure portal."
+        - content: "By manually configuring Azure Monitor to monitor the online endpoint."
           isCorrect: false
-          explanation: "Azure Monitor and metrics are configured by default for Azure Machine Learning Online Endpoints."
+          explanation: "Azure Monitor and metrics are configured by default for Azure Machine Learning online endpoints."