fixes

Author: bwren

articles/azure-monitor/logs/custom-logs-overview.md

@@ -9,7 +9,7 @@ ms.date: 01/06/2022
 # Custom logs API in Azure Monitor Logs (Preview)
 With the DCR based custom logs API in Azure Monitor, you can send data to a Log Analytics workspace from any REST API client. This allows you to send data from virtually any source to [supported built-in tables](tables-feature-support.md) or to custom tables that you create. You can even extend the schema of built-in tables with custom columns.
 
-[!INCLUDE [Sign up for preview](../../includes/azure-monitor-custom-logs-signup.md)]
+[!INCLUDE [Sign up for preview](../../../includes/azure-monitor-custom-logs-signup.md)]
 
 > [!NOTE]
 > The custom logs API should not be confused with [custom logs](../agents/data-sources-custom-logs.md) data source with the legacy Log Analytics agent.

articles/azure-monitor/logs/data-collection-rules-sample-custom-logs.md renamed to articles/azure-monitor/logs/data-collection-rule-sample-custom-logs.md

@@ -9,7 +9,7 @@ ms.date: 01/19/2022
 # Ingestion-time transformations in Azure Monitor Logs (preview)
 [Ingestion-time transformations](ingestion-time-transformations.md) allow you to manipulate incoming data before it's stored in a Log Analytics workspace. You can add data filtering, parsing and extraction, and control the structure of the data that gets ingested.in
 
-[!INCLUDE [Sign up for preview](../../includes/azure-monitor-custom-logs-signup.md)]
+[!INCLUDE [Sign up for preview](../../../includes/azure-monitor-custom-logs-signup.md)]
 
 ## Basic operation
 The transformation is a [KQL query](../essentials/data-collection-rule-transformations.md) that runs against the incoming data and modifies it before it's stored in the workspace. Transformations are defined separately for each table in the workspace. This article provides an overview of this feature and guidance for further details and samples. Configuration for ingestion-time transformation is stored in a workspace transformation DCR. You can either [create this DCR directly](tutorial-ingestion-time-transformations-api.md) or configure transformation [through the Azure portal](tutorial-ingestion-time-transformations.md).