Fixing yaml file extensions in batch deployment articles

Author: msakande

articles/machine-learning/how-to-batch-scoring-script.md

@@ -122,7 +122,7 @@ Any library that your scoring script requires to run needs to be indicated in th
 
 __mnist/environment/conda.yml__
 
-:::code language="yaml" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/mnist-classifier/deployment-torch/environment/conda.yml":::
+:::code language="yaml" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/mnist-classifier/deployment-torch/environment/conda.yaml":::
 
 Refer to [Create a batch deployment](how-to-use-batch-endpoint.md#create-a-batch-deployment) for more details about how to indicate the environment for your model.
 

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

@@ -206,7 +206,7 @@ Let's create the deployment that will host the model:
 
    __environment/conda.yml__
 
-   :::code language="yaml" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/huggingface-text-summarization/environment/torch200-conda.yml" :::
+   :::code language="yaml" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/huggingface-text-summarization/environment/torch200-conda.yaml" :::
 
 1. We can use the conda file mentioned before as follows:
 

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

@@ -269,7 +269,7 @@ A deployment is a set of resources required for hosting the model that does the
     
     __deployment-torch/environment/conda.yml__
         
-    :::code language="yaml" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/mnist-classifier/deployment-torch/environment/conda.yml":::
+    :::code language="yaml" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/mnist-classifier/deployment-torch/environment/conda.yaml":::
     
     > [!IMPORTANT]
     > The packages `azureml-core` and `azureml-dataset-runtime[fuse]` are required by batch deployments and should be included in the environment dependencies.
@@ -789,7 +789,7 @@ In this example, you'll learn how to add a second deployment __that solves the s
 
     __deployment-keras/environment/conda.yml__
 
-    :::code language="yaml" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/mnist-classifier/deployment-keras/environment/conda.yml":::
+    :::code language="yaml" source="~/azureml-examples-main/cli/endpoints/batch/deploy-models/mnist-classifier/deployment-keras/environment/conda.yaml":::
 
 1. Create a scoring script for the model: