[BULK] DocuTune - Fix metadata formatting

Author: alexbuckgit

articles/azure-monitor/logs/kql-machine-learning-azure-monitor.md

@@ -7,12 +7,10 @@ author: guywild
 ms.author: guywild
 ms.reviewer: ilanawaitser
 ms.date: 07/01/2022
-
-# Customer intent:  As a data analyst, I want to use the native machine learning capabilities of Azure Monitor Logs to gain insights from my log data without having to export data outside of Azure Monitor.
-
+# Customer intent: As a data analyst, I want to use the native machine learning capabilities of Azure Monitor Logs to gain insights from my log data without having to export data outside of Azure Monitor.
 ---
 
-# Tutorial: Detect and analyze anomalies using KQL machine learning capabilities in Azure Monitor  
+# Tutorial: Detect and analyze anomalies using KQL machine learning capabilities in Azure Monitor
 
 The Kusto Query Language (KQL) includes machine learning operators, functions and plugins for time series analysis, anomaly detection, forecasting, and root cause analysis. Use these KQL capabilities to perform advanced data analysis in Azure Monitor without the overhead of exporting data to external machine learning tools.
 

articles/cognitive-services/personalizer/tutorial-use-azure-notebook-generate-loop-data.md

@@ -10,7 +10,7 @@ ms.subservice: personalizer
 ms.topic: tutorial
 ms.date: 04/27/2020
 ms.custom: devx-track-python
-#Customer intent:  As a Python developer, I want use Personalizer in an Azure Notebook so that I can understand the end to end lifecycle of a Personalizer loop.
+#Customer intent: As a Python developer, I want use Personalizer in an Azure Notebook so that I can understand the end to end lifecycle of a Personalizer loop.
 ---
 
 # Tutorial: Use Personalizer in Azure Notebook

articles/reliability/reliability-containers.md

@@ -7,14 +7,11 @@ ms.topic: overview
 ms.custom: subject-reliability
 ms.service: container-instances
 ms.date: 11/29/2022
+#Customer intent: I want to understand reliability support in Azure Container Instances so that I can respond to and/or avoid failures in order to minimize downtime and data loss.
 ---
 
-<!--#Customer intent:  I want to understand reliability support in Azure Container Instances so that I can respond to and/or avoid failures in order to minimize downtime and data loss. -->
-
-
 # Reliability in Azure Container Instances
 
-
 > [!IMPORTANT]
 > This feature is currently in preview. Previews are made available to you on the condition that you agree to the supplemental terms of use.
 

articles/reliability/reliability-functions.md

@@ -7,11 +7,9 @@ ms.topic: conceptual
 ms.service: azure-functions
 ms.custom: references_regions, subject-reliability
 ms.date: 10/07/2022
+#Customer intent: I want to understand reliability support in Azure Functions so that I can respond to and/or avoid failures in order to minimize downtime and data loss.
 ---
 
-<!--#Customer intent:  I want to understand reliability support in Azure Functions so that I can respond to and/or avoid failures in order to minimize downtime and data loss. -->
-
-
 # Reliability in Azure Functions
 
 This article describes reliability support in Azure Functions and covers both intra-regional resiliency with [availability zones](#availability-zone-support) and links to information on [cross-region resiliency with disaster recovery](#disaster-recovery-cross-region-failover). For a more detailed overview of reliability in Azure, see [Azure reliability](/azure/architecture/framework/resiliency/overview).