Move pip install

Author: nibaccam

articles/machine-learning/resource-known-issues.md

@@ -35,6 +35,24 @@ Learn about the [resource quotas](how-to-manage-quotas.md) you might encounter w
 
 ## Installation and import
 
+* **Pip Installation: Dependencies are not guaranteed to be consistent with single line installation**: 
+
+This is a known limitation of pip, as it does not have a functioning dependency resolver when you install as a single line. The first unique dependency is the only one it looks at. 
+
+For example, azure-ml-datadrift requires version > 1.0 and azureml-train-automl requires version < 1.2. If the latest version of azure-ml-datadrift is 1.3, when the user installs the packages in a single line as shown in the following code, everything gets upgraded to 1.3, regardless of the azureml-train-automl package requirement for an older version. 
+
+    * You will see inconsistent dependencies with single line installation.
+    ```python
+       pip install azure-ml-datadrift, azureml-train-automl
+     ```
+   
+    * To ensure the appropriate versions are installed for your packages, install using multiple lines like in the following code. Order doesn't matter here.
+    
+     ```python
+        pip install azure-ml-datadrift
+        pip install azureml-train-automl 
+     ```
+     
 * **Error message: Cannot uninstall 'PyYAML'**
 
     Azure Machine Learning SDK for Python: PyYAML is a `distutils` installed project. Therefore, we cannot accurately determine which files belong to it if there is a partial uninstall. To continue installing the SDK while ignoring this error, use:
@@ -78,20 +96,6 @@ Learn about the [resource quotas](how-to-manage-quotas.md) you might encounter w
     * Add `azureml-dataprep` version 1.1.8 or above.
     * Add `pyarrow` version 0.11 or above.
 
-* **Pip Installation: Dependecies are not guaranteed to be consistent with single line installation**: This is a known limitation of pip as it does not have a functioning dependency resolver when you install as a single line. The first unique dependency is the only one it looks at. For example, if you are installing azure-ml-datadrift which requires version > 1.0 and azureml-train-automl which requires version < 1.2 and if the latest version is 1.3, when the user installs the packages in a single line as shown below, everything gets upgraded to 1.3 even though the azureml-train-automl package requires an older version. 
-
-    * You will see inconsistent dependecies with single line installation.
-    ```python
-       pip install azure-ml-datadrift, azureml-train-automl
-     ```
-   
-    * To ensure the appropriate versions are installed for your packages, install using multiple lines like in the following code. Order doesn't matter here.
-    
-     ```python
-        pip install azure-ml-datadrift
-        pip install azureml-train-automl 
-     ```
-     
 ## Create and manage workspaces
 
 > [!WARNING]