ADF UI Changes

Lab4: ADF UI Changes impacting Copy to CosmosDB
Lab5: Corrected typo with Power BI dataset names

Lab/Lab4/Lab4.md

@@ -39,7 +39,7 @@ synapsedatalake*suffix*	     |Storage Account
 ADPDatabricks-*suffix*	     |Databricks Workspace
 
 ## Create NYCImages and NYCImageMetadata Containers in Azure Blob Storage
-In this section you will create a container in your SynapseDataLake that will be used as a repository for the NYC image files. You will copy 30 files from the MDWResources Storage Account into your NYCTaxiData container. 
+In this section you will create a container in your SynapseDataLake that will be used as a repository for the NYC image files. You will copy 30 files from the MDWResources Storage Account into your NYCImages container.
 
 ![](./Media/Lab4-Image02.png)
 
@@ -574,6 +574,8 @@ In this section you will create an Azure Data Factory pipeline to copy New York
 21.	Select the Copy Data activity and enter the following details:
     <br>- **General > Name**: ServeImageMetadata
     <br>- **Source > Source dataset**: SynapseDataLake_NYCImageMetadata_JSON
+    <br>- **Source > File path type**: Wildcard file path
+    <br>- **Source > Wildcard file name**: *.json
     <br>- **Sink > Sink dataset**: ADPCosmosDB_NYCImageMetadata
 
 22.	Leave remaining fields with default values.

Lab/Lab5/Lab5.md

@@ -13,7 +13,6 @@ Azure Service | Microsoft Learn | Technical Documentation|
 --------------|-----------------|------------------------|
 Azure Data Lake Gen2 | [Large Scale Data Processing with Azure Data Lake Storage Gen2](https://docs.microsoft.com/en-us/learn/paths/data-processing-with-azure-adls/) | [Azure Data Lake Gen2 Technical Documentation](https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction)
 Azure Logic Apps | [Build automated workflows to integrate data and apps with Azure Logic Apps](https://docs.microsoft.com/en-us/learn/paths/build-workflows-with-logic-apps/) | [Azure Logic Apps Technical Documentation](https://docs.microsoft.com/en-us/azure/logic-apps/)
-Azure Text Analytics | [Discover sentiment in text with the Text Analytics API](https://docs.microsoft.com/en-us/learn/modules/classify-user-feedback-with-the-text-analytics-api/) | [Azure Text Analytics API Technical Documentation](https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/)
 Azure Event Hubs | [Enable reliable messaging for Big Data applications using Azure Event Hubs](https://docs.microsoft.com/en-us/learn/modules/enable-reliable-messaging-for-big-data-apps-using-event-hubs/) | [Azure Event Hubs Technical Documentation](https://docs.microsoft.com/en-us/azure/event-hubs/)
 Azure Stream Analytics | [Implement a Data Streaming Solution with Azure Streaming Analytics](https://docs.microsoft.com/en-us/learn/paths/implement-data-streaming-with-asa/) | [Azure Stream Analytics Technical Documentation](https://docs.microsoft.com/en-us/azure/stream-analytics/)
 Power BI | [Create and use analytics reports with Power BI](https://docs.microsoft.com/en-us/learn/paths/create-use-analytics-reports-power-bi/) | [Power BI Technical Documentation](https://docs.microsoft.com/en-us/power-bi/)
@@ -140,7 +139,7 @@ In this section you will prepare Event Hubs to ingest NYSE stock trade messages
 
 ### Optional: Investigate NYCStockTrades Container contents
 
-1. On your SynapseDataLake account, navigate to the NYCStockTrades container you created in the previous section. 
+1. On your SynapseDataLake account, navigate to the NYCStockTrades container you created in the previous section.
 
 2. You should be able to see the folder structure created by Event Hubs Capture with AVRO files containing the individual stock purchase transaction messages generated by the LogicApp. These files can then be used in other analytics worlkloads whenever the granular detail about each individual transaction is required.
 
@@ -295,7 +294,7 @@ In this section you will log on to the Power BI portal to create a dashboard to
 
     ![](./Media/Lab5-Image38.png)
 
-4.	Navigate to the **Datasets** tab and verify that two datasets have been created by Stream Analytics: **NYCTweetDetails** and **NYCTweetStats**.
+4.	Navigate to the **Datasets** tab and verify that two datasets have been created by Stream Analytics: **StockTradeByCompany** and **StockTradeTotals**.
 
     ![](./Media/Lab5-Image39.png)
 
@@ -341,7 +340,7 @@ In this section you will log on to the Power BI portal to create a dashboard to
 
 17.	Leave remaining fields with their default values. Click **Apply**.
 
-18.	Repeat the process to create another tile, this time to display the average sentiment score. Use the following details:
+18.	Repeat the process to create another tile, this time to display the total trade count. Use the following details:
     <br>- **Dataset**: StockTradeTotals
     <br>- **Visualization Type**: Card
     <br>- **Fields**: TotalTradeCount