fix

Author: v-thepet

articles/active-directory-b2c/enable-authentication-angular-spa-app.md

@@ -624,8 +624,7 @@ In the *src/app/profile* folder, update *profile.component.html* with the follow
 To call a [token-based authorization web API](enable-authentication-web-api.md), the app needs to have a valid access token. The [MsalInterceptor](https://github.com/AzureAD/microsoft-authentication-library-for-js/blob/dev/lib/msal-angular/docs/msal-interceptor.md) provider automatically acquires tokens for outgoing requests that use the Angular [HttpClient](https://angular.io/api/common/http/HttpClient) class to known protected resources.
 
 > [!IMPORTANT]
-> The MSAL initialization method (in the `app.module.ts` class) maps protected resources, such as web APIs, with the required app scopes by using the `protectedResourceMap` object. If your code needs to call another web API, add the web API URI and the web API HTTP method, with the corresponding scopes, to the `protectedResourceMap` object. For more information, see [Protected Resource Map](https://github.com/AzureAD/microsoft-authentication-library-for-js/blob/master/lib/msal-angular/docs/v2-docs/msal-interceptor.md#protected-resource-map).
-
+> The MSAL initialization method (in the `app.module.ts` class) maps protected resources, such as web APIs, with the required app scopes by using the `protectedResourceMap` object. If your code needs to call another web API, add the web API URI and the web API HTTP method, with the corresponding scopes, to the `protectedResourceMap` object. For more information, see [Protected Resource Map](https://github.com/AzureAD/microsoft-authentication-library-for-js/blob/dev/lib/msal-angular/docs/msal-interceptor.md#protected-resource-map).
 
 When the [HttpClient](https://angular.io/api/common/http/HttpClient)  object calls a web API, the [MsalInterceptor](https://github.com/AzureAD/microsoft-authentication-library-for-js/blob/dev/lib/msal-angular/docs/msal-interceptor.md) provider takes the following steps:
 

articles/app-service/includes/tutorial-ai-slm/faq.md

@@ -25,7 +25,7 @@ For example, the [Phi-3 mini model with a 4K context length from Hugging Face](h
 
 ### How to use my own SLM sidecar?
 
-The sample repository contains a sample SLM container that you can use as a sidecar. It runs a FastAPI application that listens on port 8000, as specified in its [Dockerfile](https://github.com/Azure-Samples/ai-slm-in-app-service-sidecar/blob/main/bring_your_own_slm/src/phi-3-sidecar/Dockerfile). The application uses [ONNX Runtime](https://onnxruntime.ai/docs/) to load the Phi-3 model, then forwards the HTTP POST data to the model and streams the response from the model back to the client. For more information, see [model_api.py](https://github.com/Azure-Samples/ai-slm-in-app-service-sidecar/blob/main/src/phi-3-sidecar/model_api.py).
+The sample repository contains a sample SLM container that you can use as a sidecar. It runs a FastAPI application that listens on port 8000, as specified in its [Dockerfile](https://github.com/Azure-Samples/ai-slm-in-app-service-sidecar/blob/main/bring_your_own_slm/src/phi-3-sidecar/Dockerfile). The application uses [ONNX Runtime](https://onnxruntime.ai/docs/) to load the Phi-3 model, then forwards the HTTP POST data to the model and streams the response from the model back to the client. For more information, see [model_api.py](https://github.com/Azure-Samples/ai-slm-in-app-service-sidecar/blob/main/bring_your_own_slm/src/phi-3-sidecar/model_api.py).
 
 To build the sidecar image yourself, you need to install Docker Desktop locally on your machine.
 
@@ -43,7 +43,7 @@ To build the sidecar image yourself, you need to install Docker Desktop locally
     huggingface-cli download microsoft/Phi-3-mini-4k-instruct-onnx --local-dir ./Phi-3-mini-4k-instruct-onnx
     ```
     
-    The [Dockerfile](https://github.com/Azure-Samples/ai-slm-in-app-service-sidecar/blob/main/src/phi-3-sidecar/Dockerfile) is configured to copy the model from *./Phi-3-mini-4k-instruct-onnx*.
+    The [Dockerfile](https://github.com/Azure-Samples/ai-slm-in-app-service-sidecar/blob/main/bring_your_own_slm/src/phi-3-sidecar/Dockerfile) is configured to copy the model from *./Phi-3-mini-4k-instruct-onnx*.
     
 1. Build the Docker image. For example:
 

articles/app-service/tutorial-webjobs.md

@@ -181,7 +181,7 @@ WebJobs is a feature of Azure App Service that enables you to run a program
 
 ## Download the sample WebJob
 
-You can [download a pre-built sample project](https://github.com/Azure-Samples/App-Service-Node-WebJobs-QuickStart/archive/refs/heads/main.zip) to get started quickly. The sample includes two files: `webjob.js` and `run.sh`.
+You can [download a pre-built sample project](https://github.com/Azure-Samples/App-Service-NodeJS-WebJobs-QuickStart/archive/refs/heads/main.zip) to get started quickly. The sample includes two files: `webjob.js` and `run.sh`.
 
 The JavaScript, `webjob.js`, outputs the current time to the console as shown below:
 

articles/avere-vfxt/avere-vfxt-whitepapers.md

@@ -14,7 +14,7 @@ This article lists case studies, technology whitepapers, infographics, and other
 
 ## Deploy Agisoft PhotoScan on Azure
 
-**Link:** [Deploy Agisoft PhotoScan on Azure with Avere vFXT for Azure or BeeGFS](https://azure.microsoft.com/mediahandler/files/resourcefiles/deploy-agisoft-photoscan-on-azure-with-azere-vfxt-for-azure-or-beegfs/AgiSoft%20PhotoScan%20on%20Azure%20using%20Avere%20vFXT%20or%20BeeGFS.pdf)
+Deploy Agisoft PhotoScan on Azure with Avere vFXT for Azure or BeeGFS
 
 This guide provides step-by-step guidance for installing Agisoft PhotoScan photogrammetry software backed by either Avere vFXT storage or BeeGFS parallel file system. The author, Paulo Marques da Costa of AzureCAT, shows how to set up PhotoScan on Azure Virtual Machines (VMs). High-performance storage accelerates processing time, and the results of his benchmark tests are included. This environment can be scaled up and down as needed and supports terabytes of storage without sacrificing performance.
 

articles/azure-cache-for-redis/TOC.yml

@@ -125,7 +125,7 @@
     - name: Monitor using insights
       href: cache-insights-overview.md
     - name: Monitor using diagnostic settings
-      href: /monitor/cache-monitor-diagnostic-settings.md
+      href: cache-monitor-diagnostic-settings.md
     - name: List of Redis metrics
       href: /azure/redis/monitor-cache-reference
 
@@ -277,7 +277,7 @@
     - name: Route events with Azure portal  
       href: cache-event-grid-quickstart-portal.md
     - name: Route events with Azure CLI 
-      href: /cache-event-grid-quickstart-cli.md
+      href: cache-event-grid-quickstart-cli.md
     - name: Route events with PowerShell 
       href: cache-event-grid-quickstart-powershell.md
   - name: Create leaderboards