Update _test_and_submit.rst to show the --yaml option.

Author: qiuosier

docs/source/user_guide/model_training/distributed_training/_test_and_submit.rst

@@ -1,7 +1,7 @@
 **Test Locally:**
 
 Before submitting the workload to jobs, you can run it locally to test your code, dependencies, configurations etc.
-With ``-b local`` flag, it uses a local backend. Further when you need to run this workload on odsc jobs, simply use ``-b job`` flag instead.
+With ``-b local`` flag, it uses a local backend. Further when you need to run this workload on OCI data science jobs, simply use ``-b job`` flag instead.
 
 .. code-block:: bash
 
@@ -13,6 +13,9 @@ If your code requires to use any oci services (like object bucket), you need to
 
   oci_key_mnt = ~/.oci:/home/oci_dist_training/.oci
 
+Note that the local backend requires the source code for your workload is available locally in the source folder specified in the ``config.ini`` file.
+If you specified Git repository or OCI object storage location as source code location in your workflow YAML, please make sure you have a local copy available for local testing.
+
 **Submit the workload:**
 
 .. code-block:: bash
@@ -22,7 +25,7 @@ If your code requires to use any oci services (like object bucket), you need to
 **Note:**: This will automatically push the docker image to the
 OCI `container registry repo <https://docs.oracle.com/en-us/iaas/Content/Registry/Concepts/registryoverview.htm>`_ .
 
-Once running, you will see on the terminal an output similar to the below
+Once running, you will see on the terminal outputs similar to the below
 
 .. code-block:: yaml
   :caption: info.yaml
@@ -36,9 +39,9 @@ Once running, you will see on the terminal an output similar to the below
     - workerJobRunIdName_2: oci.xxxx.<job_run_ocid>
     - workerJobRunIdName_3: oci.xxxx.<job_run_ocid>
 
-Note that this yaml can be used as input to ``ads opctl distributed-training show-config -f <info.yaml>``.
-You can use ``tee`` to both save and see the job run info, for example:
+This information can be saved as YAML file and used as input to ``ads opctl distributed-training show-config -f <info.yaml>``.
+You can use ``--yaml`` to save the job run info into YAML, for example:
 
 .. code-block:: bash
 
-  ads opctl run -f train.yaml | tee info.yaml
+  ads opctl run -f train.yaml --yaml info.yaml