Jumpstart ag - data pipeline accessibility changes

docs/azure_jumpstart_ag/contoso_supermarket/data_pos/_index.md

@@ -16,7 +16,7 @@ In this scenario, Contoso wants to use their data pipeline so customer orders pl
 
 Below is an architecture diagram that shows how the data flows from the PoS application and into the ADX database to generate near real-time reports of orders received and processed across various supermarket store locations. This architecture includes a local PostgreSQL database running at the edge in the store, [Azure Cosmos DB](https://learn.microsoft.com/azure/cosmos-db/introduction) and ADX cluster in Azure cloud, and a Cloud Sync service that moves orders data from edge location to Cosmos DB in the cloud.
 
-![Screenshot showing the Data pipeline architecture diagram](./img/contoso_supermarket_pos_service_architecture.png)
+![Screenshot showing the data pipeline architecture diagram](./img/contoso_supermarket_pos_service_architecture.png)
 
 ## PoS dashboard reports
 
@@ -30,7 +30,7 @@ Follow the below steps in order to view the PoS Orders dashboard reports you wil
 
 - On the Client VM, open Windows Explorer and navigate to folder _C:\Ag\adx_dashboards_ folder. This folder contains two ADX dashboard report JSON files (_adx-dashboard-iotsensor-payload.json_ and _adx-dashboard-orders-payload.json_) with the ADX name and URI updated when the deployment PowerShell logon script is completed.
 
-  ![Screenshot showing how to locate dashboard report template files](./img/adx_dashboard_report_files.png)
+  ![Screenshot showing the dashboard report template files location](./img/adx_dashboard_report_files.png)
 
 - Copy these ADX dashboards report JSON files on your local machine in a temporary folder to import into ADX dashboards. Alternatively, you can log in to ADX Dashboards directly on the Client VM.
 
@@ -44,75 +44,75 @@ Follow the below steps in order to view the PoS Orders dashboard reports you wil
 
 - Select _Import dashboard from file_ to select previously copied file from the Client VM to your local machine or the _C:\Ag\adx_dashboards_ folder on the Client VM.
 
-  ![Screenshot showing how to select and import dashboard file](./img/adx_import_dashboard_file.png)
+  ![Screenshot showing the import dashboard file](./img/adx_import_dashboard_file.png)
 
 - Choose to import the _adx-dashboard-orders-payload.json_ file.
 
-  ![Screenshot showing how to choose dashboard report JSON file to import](./img/adx_select_dashboard_file.png)
+  ![Screenshot showing the dashboard report JSON file to import](./img/adx_select_dashboard_file.png)
 
 - Confirm the dashboard report name, accept the suggested name (or choose your own), and click Create.
 
-  ![Confirm dashboard report name](./img/adx_confirm_dashboard_report_name.png)
+  ![Screenshot showing the dashboard report name confirmation](./img/adx_confirm_dashboard_report_name.png)
 
 - By default, there is no data available in the ADX Orders database to display in the report after deployment. Click Save to save the dashboard report in ADX.
 
-  ![Empty data in orders dashboard report](./img/adx_orders_report_empty_data.png)
+  ![Screenshot showing the empty data in orders dashboard report](./img/adx_orders_report_empty_data.png)
 
 ## Generate sample data using Data Emulator
 
 By default there is no data available in Cosmos DB database after the deployment is complete. There are two ways you can generate Orders data. One method is using PoS application and place orders. Another option is by using Data Emulator tool available on the Agora client VM. Use instructions below to generate sample data using the Data Emulator tool.
 
 - On the Client VM, locate Data Emulator icon on the desktop.
 
-  ![Locate Data Emulator on the desktop](./img/locate_data_emulator_desktop.png)
+  ![Screenshot showing the Data Emulator on the desktop](./img/locate_data_emulator_desktop.png)
 
 - Double click on the Data Emulator desktop icon to launch executable and generate sample data. Confirm by entering __Yes__ or __Y__ to start generating data, entering No or N will exit the tool. This tool generates data for the last 30 days. Say No or N to prevent regenerating sample data if it is generated earlier.
 
   > __NOTE: You can still generate additional sample data by running this tool multiple times, but there might be duplicate key errors and fails to generate data in subsequent attempts.__
 
-  ![Confirm sample data generation](./img/confirm_sample_data_generation.png)
+  ![Screenshot showing the sample data generation confirmation](./img/confirm_sample_data_generation.png)
 
-  ![Generating sample data](./img/sample_data_generation.png)
+  ![Screenshot showing the generating sample data](./img/sample_data_generation.png)
 
 - From ADX open PoS Orders report to view simulated orders data. Allow some time to propagate data into the ADX database using an integrated data pipeline.
 
-  ![PoS Orders with simulated data](./img/adx_posorders_with_simulated_data.png)
+  ![Screenshot showing the PoS Orders with simulated data](./img/adx_posorders_with_simulated_data.png)
 
 - PoS Orders dashboard report is configured to display data from the _"Last 1 hour"_ by default. To view all the simulated orders data, change report time range to _"Last 30 days"_ as shown in the picture below. Dashboard report will refresh data and display reports for the selected time range.
 
-  ![PoS Orders select time range](./img/adx_orders_report_select_timerange.png)
+  ![Screenshot showing the PoS Orders select time range](./img/adx_orders_report_select_timerange.png)
 
-  ![PoS Orders with simulated data for selected time range](./img/adx_posorders_with_simulated_data_selected_timerange.png)
+  ![Screenshot showing the PoS Orders with simulated data for selected time range](./img/adx_posorders_with_simulated_data_selected_timerange.png)
 
 ### Generate orders from Contoso Supermarket store applications
 
 - On the Agora client VM, open Edge browser. From the favorites bar review bookmarks created for PoS applications for different stores and environments.
 
-  ![PoS app bookmarks](./img/pos_app_edge_bookmarks.png)
+  ![Screenshot showing the PoS app bookmarks](./img/pos_app_edge_bookmarks.png)
 
 - From the bookmarks expand POS -> Chicago and select "POS Chicago - Customer".
 
-  ![Select PoS Chicago application](./img/pos_app_edge_select_pos_chicago_customer.png)
+  ![Screenshot showing the PoS Chicago store selection](./img/pos_app_edge_select_pos_chicago_customer.png)
 
 - Randomly add a few items to the cart.
 
-  ![Select PoS Chicago application](./img/chicago_pos_app_customer.png)
+  ![Screenshot showing the PoS Chicago store products](./img/chicago_pos_app_customer.png)
 
 - Click on Cart, review items, and click Place Order.
 
-  ![Select PoS Chicago application](./img/pos_chicago_customer_place_order.png)
+  ![Screenshot showing the PoS Chicago store cart to place order](./img/pos_chicago_customer_place_order.png)
 
 - Place additional orders from the same store by repeating the above steps. Try adding random items to each order to simulate orders from different customers of the store.
 
 - In the ADX Portal, under Dashboards, open the PoS Orders report and set the time range for "_Last 30 minutes_", and refresh the report to see data.
 
 > __NOTE: As the Cloud Sync service performs the sync in the backend, it might take a few minutes for orders to show up in ADX.__
 
-  ![PoS Chicago dashboard report](./img/pos_chicago_customer_report.png)
+  ![Screenshot showing the PoS Chicago dashboard report](./img/pos_chicago_customer_report.png)
 
 - From Edge browser bookmarks, open the PoS application for other stores and repeat the order processing and see the PoS Orders dashboard for multiple stores and environments.
 
-  ![PoS Orders multiple stores dashboard report](./img/pos_orders_multiplestores_report.png)
+  ![Screenshot showing the PoS Orders multiple stores dashboard report](./img/pos_orders_multiplestores_report.png)
 
 ## Next steps