Bulk update: Global effort to fix validation errors

Author: v-savila

articles/azure-resource-manager/bicep/bicep-functions-resource.md

@@ -296,7 +296,7 @@ The possible uses of `list*` are shown in the following table.
 | Microsoft.BotService/botServices/channels | [listChannelWithKeys](https://github.com/Azure/azure-rest-api-specs/blob/master/specification/botservice/resource-manager/Microsoft.BotService/stable/2020-06-02/botservice.json#L553) |
 | Microsoft.Cache/redis | [listKeys](/rest/api/redis/redis/list-keys) |
 | Microsoft.CognitiveServices/accounts | [listKeys](/rest/api/aiservices/accountmanagement/accounts/list-keys) |
-| Microsoft.ContainerRegistry/registries | [listBuildSourceUploadUrl](/rest/api/containerregistry/registries%20(tasks)/get-build-source-upload-url) |
+| Microsoft.ContainerRegistry/registries | listBuildSourceUploadUrl |
 | Microsoft.ContainerRegistry/registries | [listCredentials](/rest/api/containerregistry/registries/listcredentials) |
 | Microsoft.ContainerRegistry/registries | [listUsages](/rest/api/containerregistry/registries/listusages) |
 | Microsoft.ContainerRegistry/registries/agentpools | listQueueStatus |

articles/azure-resource-manager/templates/template-functions-resource.md

@@ -144,7 +144,7 @@ The possible uses of `list*` are shown in the following table.
 | Microsoft.BotService/botServices/channels | [listChannelWithKeys](https://github.com/Azure/azure-rest-api-specs/blob/master/specification/botservice/resource-manager/Microsoft.BotService/stable/2020-06-02/botservice.json#L553) |
 | Microsoft.Cache/redis | [listKeys](/rest/api/redis/redis/list-keys) |
 | Microsoft.CognitiveServices/accounts | [listKeys](/rest/api/aiservices/accountmanagement/accounts/list-keys) |
-| Microsoft.ContainerRegistry/registries | [listBuildSourceUploadUrl](/rest/api/containerregistry/registries%20(tasks)/get-build-source-upload-url) |
+| Microsoft.ContainerRegistry/registries | listBuildSourceUploadUrl |
 | Microsoft.ContainerRegistry/registries | [listCredentials](/rest/api/containerregistry/registries/listcredentials) |
 | Microsoft.ContainerRegistry/registries | [listUsages](/rest/api/containerregistry/registries/listusages) |
 | Microsoft.ContainerRegistry/registries/agentpools | listQueueStatus |

articles/machine-learning/how-to-create-component-pipeline-python.md

@@ -71,11 +71,7 @@ You need to prepare the input data for this image classification pipeline.
 
 Fashion-MNIST is a dataset of fashion images divided into 10 classes. Each image is a 28x28 grayscale image and there are 60,000 training and 10,000 test images. As an image classification problem, Fashion-MNIST is harder than the classic MNIST handwritten digit database. It's distributed in the same compressed binary form as the original [handwritten digit database](http://yann.lecun.com/exdb/mnist/).
 
-To define the input data of a job that references the Web-based data, run:
-
-
-[!notebook-python[] (~/azureml-examples-main/sdk/python/jobs/pipelines/2e_image_classification_keras_minist_convnet/image_classification_keras_minist_convnet.ipynb?name=define-input)]
-
+Import all the Azure Machine Learning required libraries that you'll need.
 
 By defining an `Input`, you create a reference to the data source location. The data remains in its existing location, so no extra storage cost is incurred.