clarifying a few sections in labs

lab01.md

@@ -102,7 +102,7 @@ and wish take advantage of a trial environment, visit
 
     <img src="images/lab01/media/image3.png" style="width:7.5in;height:4.46597in" alt="Graphical user interface, application, Teams Description automatically generated" />
 
-1.  Choose “Import data” and enter a dataset name “CustomerDemographics” and click Next.
+1.  Choose “Import data” (_Note: the UI has been renamed to "Microsoft Power Query" in the latest release_) and enter a dataset name “CustomerDemographics” and click Next.
 
     <img src="images/lab01/media/image4.png" style="width:7.5in;height:4.73333in" alt="Graphical user interface, text, application, email Description automatically generated" />
 
@@ -137,7 +137,7 @@ and wish take advantage of a trial environment, visit
 
     <img src="images/lab01/media/image10.png" style="width:7.5in;height:3.9875in" alt="Graphical user interface, application, table Description automatically generated" />
 
-1.  Choose to refresh manually (since this is a static sample dataset that
+1.  Choose "refresh manually" (since this is a static sample dataset that
     won’t change) and click Save.
 
     <img src="images/lab01/media/image11.png" style="width:7.5in;height:4.53125in" alt="Graphical user interface, text, application Description automatically generated" />
@@ -149,7 +149,7 @@ and wish take advantage of a trial environment, visit
 
 ## Step 3: Load CustomerServiceAttributes sample dataset to Customer Insights
 
-1.  Click “Add data source”, Import data, and name it
+1.  Click “Add data source”, Import data (_Note: the UI has been renamed to "Microsoft Power Query" in the latest release_), and name it
     CustomerServiceAttributes and click Next:
 
     <img src="images/lab01/media/image13.png" style="width:7.5in;height:4.67986in" alt="Graphical user interface, text, application, email Description automatically generated" />

lab04.md

@@ -197,10 +197,7 @@ designing the experiment.
 6.  In the Advanced Settings, you will see your selections from the
     prior screen at the top. Name the compute **CustomerChurnCC**. Set
     the Minimum number of nodes at 0 and Maximum at 2. Set the Idle
-    seconds before scale down to 60. Click Create when complete.
-    **Important: This will be mentioned later on as well, but we need to
-    make sure and scale down our clusters when we’re done to avoid
-    incurring charges.**
+    seconds before scale down to 60. Click Create when complete and wait a few minutes.
 
     <img src="images/lab04/media/image22.png" style="width:6.14467in;height:2.1375in" alt="Graphical user interface, text, application Description automatically generated" />
 
@@ -239,12 +236,16 @@ designing the experiment.
 11. Next, we know that TotalCharges has a few blank values (we could
     have tested this via using the Summarize Data asset and evaluating
     each column distribution but for the sake of this lab we’re going to
-    move on to handling them). Drag **Clean Missing Data** onto the page
+    move on to handling them). Search for **Clean Missing Data**:
+
+    <img src="images/lab04/media/imageCleanMissingDataSearch.png"/>
+
+    Drag **Clean Missing Data** onto the page
     and connect TelcoChurn to the new asset.
 
     <img src="images/lab04/media/image27.png" style="width:2.70438in;height:1.87083in" alt="A picture containing chart Description automatically generated" />
 
-12. In the properties pane for Clean Missing Data. Select TotalCharges
+12. In the properties pane for Clean Missing Data. Click "Edit column" and select TotalCharges
     as the Column and set the parameters below. *Note: If the goal of
     the lab was to build the best model we would have run some form of
     regression or sub-sample from the complete rows to find a predicted
@@ -290,7 +291,7 @@ designing the experiment.
 15. The right node of the Split Data asset is connected to another
     instance of **Select Columns in Dataset**. This extracts the
     Customer ID’s of the testing data. We are going to join this back in
-    to the results dataset after the models have run.
+    to the results dataset after the models have run. _Note that the description "Extract customer ID to join back in later" can be added in the Comment section of the properties pane of that module. This is optional._
 
     <img src="images/lab04/media/image33.png" style="width:3.04853in;height:1.57265in" alt="Diagram Description automatically generated" /><img src="images/lab04/media/image34.png" style="width:3.46568in;height:1.52663in" />
 
@@ -315,6 +316,8 @@ designing the experiment.
 
 ## Step 4: Training models
 
+_Note: If you get confused on how modules should be connected, feel free to skip down to a zoomed-out screenshot in Step 5.7 below._
+
 Now that we’ve setup the design of our experiment, we can begin to train
 the models and evaluate the outputs.
 

lab05.md

@@ -80,7 +80,7 @@ learning models into Customer Insights.
 
     <img src="images/lab05/media/image6.png" style="width:7.5in;height:3.025in" alt="Graphical user interface, text, application, email Description automatically generated" />
 
-1.  Choose Import data and give it the name “AzureMlResults” and click Next.
+1.  Choose Import data (_Note: the UI has been renamed to "Microsoft Power Query" in the latest release_) and give it the name “AzureMlResults” and click Next.
 
     <img src="images/lab05/media/image7.png" style="width:7.5in;height:5.04792in" alt="Graphical user interface, text, application, email Description automatically generated" />
 

lab06.md

@@ -209,12 +209,12 @@ flow is executed under the covers on highly scalable Spark compute.
 
     <img src="images/lab06/media/image24.png" style="width:1.86484in;height:0.30213in" />
 
-1.  Click the Import schema button now. Accepting the default formats is
-    adequate for our file:
+1.  Click the Import schema button (which was grayed out in step 13) now. Accepting the default formats is
+    adequate for our file. Click the Import button at the bottom to accept the defaults:
 
     <img src="images/lab06/media/image25.png" style="width:6.40714in;height:5.01112in" alt="Table Description automatically generated" />
 
-1.  Now the schema for this CustomerChargesDetail source is populated.
+1.  Wait a few seconds for the schema to be loaded. Now the schema for this CustomerChargesDetail source is populated.
 
     <img src="images/lab06/media/image26.png" style="width:7.5in;height:2.86389in" alt="Graphical user interface, application Description automatically generated" />