Discussed certificate error in Jupyter path

Author: Larry O'Brien

articles/machine-learning/data-science-virtual-machine/dsvm-ubuntu-intro.md

@@ -27,7 +27,7 @@ Please note Azure free accounts do not support GPU enabled virtual machine SKUs.
 Here are the steps to create an instance of the Data Science Virtual Machine Ubuntu 18.04:
 
 1. Go to the [Azure portal](https://portal.azure.com) You might be prompted to sign in to your Azure account if you're not already signed in.
-1. Find the virtual machine listing by typing in "data science virtual machine" and selecting "Data Science Virtual Machine- Ubuntu 18.04 Preview."
+1. Find the virtual machine listing by typing in "data science virtual machine" and selecting "Data Science Virtual Machine- Ubuntu 18.04"
 
 1. On the subsequent window, select **Create**.
 
@@ -116,13 +116,14 @@ The Ubuntu DSVM runs [JupyterHub](https://github.com/jupyterhub/jupyterhub), a m
       ![Ubuntu machine IP address](./media/dsvm-ubuntu-intro/ubuntu-ip-address.png)
 
    1. From your local machine, open a web browser and navigate to https:\//your-vm-ip:8000, replacing "your-vm-ip" with the IP address you took note of earlier.
+   1. Your browser will probably prevent you from opening the page directly, telling you that there is a certificate error. The DSVM is providing security via a self-signed certificate. Most browsers will allow you to click through after this warning. Many browsers will continue to provide some kind of visual warning about the certificate throughout your Web session.
    1. Enter the username and password that you used to create the VM, and sign in. 
 
       ![Enter Jupyter login](./media/dsvm-ubuntu-intro/jupyter-login.png)
 
    1. Browse the many sample notebooks that are available.
 
-JupyterLab, the next generation of Jupyter notebooks and JupyterHub, is also available. To access it, sign in to JupyterHub, and then browse to the URL https:\//your-vm-ip:8000/user/your-username/lab, replacing "your-username" with the username you chose when configuring the VM.
+JupyterLab, the next generation of Jupyter notebooks and JupyterHub, is also available. To access it, sign in to JupyterHub, and then browse to the URL https:\//your-vm-ip:8000/user/your-username/lab, replacing "your-username" with the username you chose when configuring the VM. Again, you may be initially blocked from accessing the site due to a certificate error.
 
 You can set JupyterLab as the default notebook server by adding this line to `/etc/jupyterhub/jupyterhub_config.py`: