Resolve build warnings PM publish

Author: rmca14

articles/machine-learning/how-to-image-processing-batch.md

@@ -342,7 +342,7 @@ For testing our endpoint, we are going to use a sample of 1000 images from the o
 
    To download the predictions, use the following command:
 
-   :::code language="azurecli" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/imagenet-classifier/deploy-and-run.sh" ID="download_scores" :::
+   :::code language="azurecli" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/imagenet-classifier/deploy-and-run.sh" ID="download_output" :::
 
    # [Python](#tab/python)
 

articles/machine-learning/how-to-nlp-processing-batch.md

@@ -125,7 +125,7 @@ We are going to create a batch endpoint named `text-summarization-batch` where t
 
    # [Azure CLI](#tab/cli)
 
-   :::code language="azurecli" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/huggingface-text-summarization/deploy-and-run.sh" ID="create_batch_endpoint" :::
+   :::code language="azurecli" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/huggingface-text-summarization/deploy-and-run.sh" ID="create_endpoint" :::
 
    # [Python](#tab/python)
 

articles/machine-learning/how-to-use-batch-endpoints.md

@@ -212,7 +212,7 @@ To add a new deployment to an existing endpoint, use the  code:
 
 # [Azure CLI](#tab/cli)
 
-:::code language="azurecli" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/mnist-classifier/deploy-and-run.sh" ID="create_new_deployment_not_default" :::
+:::code language="azurecli" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/mnist-classifier/deploy-and-run.sh" ID="create_new_deployment_non_default" :::
 
 # [Python](#tab/python)