Merge pull request #32964 from nschonni/chore--Remove-link-locale

chore: Remove link locale

Author: American-Dipper

articles/active-directory/devices/concept-azure-managed-workstation.md

@@ -24,7 +24,7 @@ Secured isolated workstations are critically important for the security of sensi
 This document explains what it takes to build a secure client workstation with detailed step by step instructions, including how to set up starting security controls. This type of workstations at times is called a privileged access workstation (PAW), which this reference is used, and built upon. The guidance however looks to cloud-based technology to manage the service, and introduces security capabilities introduced starting in Windows 10RS5, Microsoft Defender ATP, Azure Active Directory, and Intune.
 
 > [!NOTE]
-> This article explains the concept of secure workstation and its importance. If you are already familiar with the concept and would like to skip to deployment, please read [How to Deploy a Secure Workstation](https://docs.microsoft.com/en-us/azure/active-directory/devices/howto-azure-managed-workstation).
+> This article explains the concept of secure workstation and its importance. If you are already familiar with the concept and would like to skip to deployment, please read [How to Deploy a Secure Workstation](https://docs.microsoft.com/azure/active-directory/devices/howto-azure-managed-workstation).
 
 ## Why securing workstation access is important
 

articles/active-directory/users-groups-roles/directory-assign-admin-roles.md

@@ -208,7 +208,7 @@ Additionally, the user can access reports related to adoption & usage of Kaizala
   [Azure Security Center](https://docs.microsoft.com/azure/role-based-access-control/built-in-roles) | Can view security policies, view security states, edit security policies, view alerts and recommendations, dismiss alerts and recommendations
   [Office 365 service health](https://docs.microsoft.com/office365/enterprise/view-service-health) | View the health of Office 365 services
 
-* **[Security operator](#security-operator)**: Users with this role can manage alerts and have global read-only access on security-related feature, including all information in Microsoft 365 security center, Azure Active Directory, Identity Protection, Privileged Identity Management and Office 365 Security & Compliance Center. More information about Office 365 permissions is available at [Permissions in the Office 365 Security & Compliance Center](https://docs.microsoft.com/en-us/office365/securitycompliance/permissions-in-the-security-and-compliance-center).
+* **[Security operator](#security-operator)**: Users with this role can manage alerts and have global read-only access on security-related feature, including all information in Microsoft 365 security center, Azure Active Directory, Identity Protection, Privileged Identity Management and Office 365 Security & Compliance Center. More information about Office 365 permissions is available at [Permissions in the Office 365 Security & Compliance Center](https://docs.microsoft.com/office365/securitycompliance/permissions-in-the-security-and-compliance-center).
 
   In | Can do
   --- | ---

articles/azure-cache-for-redis/cache-faq.md

@@ -247,7 +247,7 @@ You can use any of the commands listed at [Redis commands](https://redis.io/comm
 * `redis-cli -h <Azure Cache for Redis name>.redis.cache.windows.net -a <key>`
 
 > [!NOTE]
-> The Redis command-line tools do not work with the SSL port, but you can use a utility such as `stunnel` to securely connect the tools to the SSL port by following the directions in the [How to use the Redis command-line tool with Azure Cache for Redis](https://docs.microsoft.com/en-us/azure/azure-cache-for-redis/cache-how-to-redis-cli-tool) article.
+> The Redis command-line tools do not work with the SSL port, but you can use a utility such as `stunnel` to securely connect the tools to the SSL port by following the directions in the [How to use the Redis command-line tool with Azure Cache for Redis](https://docs.microsoft.com/azure/azure-cache-for-redis/cache-how-to-redis-cli-tool) article.
 >
 >
 

articles/machine-learning/service/how-to-deploy-and-where.md

@@ -277,11 +277,11 @@ Prior to deploying your model as a service, you may want to profile it to determ
 You can do this via the SDK or CLI.
 
 For more information, you can check out our SDK documentation here: 
-https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.model.model?view=azure-ml-py#profile-workspace--profile-name--models--inference-config--input-data-
+https://docs.microsoft.com/python/api/azureml-core/azureml.core.model.model?view=azure-ml-py#profile-workspace--profile-name--models--inference-config--input-data-
 
 Model profiling results are emitted as a Run object.
 Specifics on the Model Profile schema can be found here:
-https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.profile.modelprofile?view=azure-ml-py
+https://docs.microsoft.com/python/api/azureml-core/azureml.core.profile.modelprofile?view=azure-ml-py
 
 ## Deploy to target