UI update lab 19

Instructions/Labs/19-perform-inference-azure-machine-learning.md

@@ -194,16 +194,16 @@ The first step is to deploy a model to Azure Machine Learning. The repository co
 In this task, you connect to the `rentals` database on your Azure Database for PostgreSQL flexible server using the [psql command-line utility](https://www.postgresql.org/docs/current/app-psql.html) from the [Azure Cloud Shell](https://learn.microsoft.com/azure/cloud-shell/overview).
 
 1. In the [Azure portal](https://portal.azure.com/), navigate to your newly created Azure Database for PostgreSQL flexible server.
-
-2. In the resource menu, under **Settings**, select **Databases** select **Connect** for the `rentals` database. Note that selecting **Connect** does not actually connect you to the database; it simply provides instructions for connecting to the database using various methods. Review the instructions to **Connect from browser or locally** and use those to connect using the Azure Cloud Shell.
+2. In the resource menu, under **Settings**, select **Connect**, then select `rentals` for the database.
+3. Expand the section **Connect from browser or locally** and use the command shown to connect using the Azure Cloud Shell.
 
     ![Screenshot of the Azure Database for PostgreSQL Databases page. Databases and Connect for the rentals database are highlighted by red boxes.](media/17-postgresql-rentals-database-connect.png)
 
-3. At the "Password for user pgAdmin" prompt in the Cloud Shell, enter the randomly generated password for the **pgAdmin** login.
+4. At the "Password for user pgAdmin" prompt in the Cloud Shell, enter the randomly generated password for the **pgAdmin** login.
 
     Once logged in, the `psql` prompt for the `rentals` database is displayed.
 
-4. Throughout the remainder of this exercise, you continue working in the Cloud Shell, so it may be helpful to expand the pane within your browser window by selecting the **Maximize** button at the top right of the pane.
+5. Throughout the remainder of this exercise, you continue working in the Cloud Shell, so it may be helpful to expand the pane within your browser window by selecting the **Maximize** button at the top right of the pane.
 
     ![Screenshot of the Azure Cloud Shell pane with the Maximize button highlighted by a red box.](media/17-azure-cloud-shell-pane-maximize.png)