Merge pull request #234771 from MicrosoftDocs/JasonWHowell-patch-3

Fix Broken links

Author: prmerger-automator[bot]

articles/machine-learning/how-to-manage-environments-v2.md

@@ -2,7 +2,6 @@
 title: 'Manage Azure Machine Learning environments with the CLI & SDK (v2)'
 titleSuffix: Azure Machine Learning
 description: Learn how to manage Azure Machine Learning environments using Python SDK and Azure CLI extension for Machine Learning.
-services: machine-learning
 ms.service: machine-learning
 ms.subservice: core
 ms.topic: how-to

articles/machine-learning/how-to-use-mlflow-cli-runs.md

@@ -2,7 +2,6 @@
 title: Track ML experiments and models with MLflow
 titleSuffix: Azure Machine Learning
 description:  Use MLflow to log metrics and artifacts from machine learning runs
-services: machine-learning
 author: santiagxf
 ms.author: fasantia
 ms.reviewer: mopeakande
@@ -131,7 +130,7 @@ Use MLflow SDK to track any metric, parameter, artifacts, or models. For detaile
 
 All Azure Machine Learning environments already have MLflow installed for you, so no action is required if you're using a curated environment. If you want to use a custom environment:
 
-1. Create a `conda.yml` file with the dependencies you need:
+1. Create a `conda.yaml` file with the dependencies you need:
 
     :::code language="yaml" source="~/azureml-examples-main//sdk/python/using-mlflow/deploy/environment/conda.yaml" highlight="7-8" range="1-12":::
 

articles/machine-learning/reference-yaml-environment.md

@@ -2,12 +2,10 @@
 title: 'CLI (v2) environment YAML schema'
 titleSuffix: Azure Machine Learning
 description: Reference documentation for the CLI (v2) environment YAML schema.
-services: machine-learning
 ms.service: machine-learning
 ms.subservice: core
 ms.topic: reference
 ms.custom: cliv2, event-tier1-build-2022
-
 author: saachigopal
 ms.author: sagopal
 ms.date: 03/31/2022