Merge pull request #187555 from AbeOmor/patch-44

updated the description of mlflow tracking URI

Author: PRMerger19

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

@@ -53,7 +53,7 @@ To track a local run, you need to point your local machine to the Azure Machine
 
 # [MLflow SDK](#tab/mlflow)
 
-The following code uses `mlflow` and the [`subprocess`](https://docs.python.org/3/library/subprocess.html) classes in Python to run the Azure Machine Learning CLI (v2) command to retrieve the unique MLFLow tracking URI associated with your workspace. Then the method [`set_tracking_uri()`](https://mlflow.org/docs/latest/python_api/mlflow.html#mlflow.set_tracking_uri) points the MLflow tracking URI to that URI.
+The following code uses `mlflow` and your Azure Machine Learning workspace details to construct the unique MLFLow tracking URI associated with your workspace. Then the method [`set_tracking_uri()`](https://mlflow.org/docs/latest/python_api/mlflow.html#mlflow.set_tracking_uri) points the MLflow tracking URI to that URI.
 
 ```Python
 import mlflow