Fixed build report warnings

Author: Ken Lawson

learn-pr/wwl-sci/perform-threat-hunting-sentinel-with-notebooks/includes/4-create-notebook.md

@@ -20,7 +20,8 @@ To get started with Notebooks, use the *Getting Started Guide For Microsoft Sent
 
 1. At the bottom of the page, select **Review + create**. Then on the next page, select **create**. It takes a moment to deploy the workspace.
 
-   > [!NOTE] It takes a few minutes to deploy the Machine Learning workspace.
+    > [!NOTE]
+    > It takes a few minutes to deploy the Machine Learning workspace.
 
 1. After *Your deployment is complete* message appears, return to Microsoft Sentinel.
 
@@ -40,25 +41,29 @@ To get started with Notebooks, use the *Getting Started Guide For Microsoft Sent
 
 1. 1. In the command bar, to the right of the **Compute:**  selector, select the **+** symbol to *Create Azure ML compute* instance. **Hint:** It might be hidden inside the ellipsis icon **(...)**.
 
-     > [!NOTE] You can have more screen space by hiding the Azure ML Studio left blade by selecting the *Hamburger menu* (3 horizontal lines on the top left), and by collapsing the Notebooks Files by selecting the **<<** icon.
+    > [!NOTE]
+    > You can have more screen space by hiding the Azure ML Studio left blade by selecting the *Hamburger menu* (3 horizontal lines on the top left), and by collapsing the Notebooks Files by selecting the **<<** icon.
 
 1. Type a unique name in the *Compute name* field. This identifies your compute instance.
 
 1. Scroll down and select the first option available.
 
-    > [!TIP] Workload type: Development on Notebooks (or other IDE) and light weight testing.
+    > [!TIP]
+    > Workload type: Development on Notebooks (or other IDE) and light weight testing.
 
 1. Select the **Review + Create** button at the bottom of the screen, then scroll down and select **Create**. Close any feedback window that may appear. This takes a few minutes. You see a notification (bell icon) when it's done and the *Compute instance* left icon turns from blue to green.
 
 1. Once the Compute has been created and running, verify that the kernel to use is *Python 3.10 - Pytorch and Tensorflow*.
 
-     > [!TIP] This is shown in the right of the menu bar. If that kernel isn't selected, select the *Python 3.10 - Pytorch and Tensorflow* option from the drop-down list. You may need to select the **Refresh** icon on the far right to see the kernel options.
+    > [!TIP]
+    > This is shown in the right of the menu bar. If that kernel isn't selected, select the *Python 3.10 - Pytorch and Tensorflow* option from the drop-down list. You may need to select the **Refresh** icon on the far right to see the kernel options.
 
 1. Select the **Authenticate** button and wait for the authentication to complete.
 
 1. Clear all the results from the notebook by selecting the **Clear all outputs** (Eraser icon) from the menu bar and follow the *Getting Started* tutorial.
 
-    > [!TIP] This can be found by selecting the ellipsis (...) from the menu bar.
+    > [!TIP]
+    > This can be found by selecting the ellipsis (...) from the menu bar.
 
 1. Review section *1 Introdution* in the notebook and proceed to section *2 Initializing the notebook and MSTICPy*.
 
@@ -73,10 +78,12 @@ To get started with Notebooks, use the *Getting Started Guide For Microsoft Sent
 
 1. The code ran successfully if *msticpyconfig.yaml* was created in the *utils* folder in the *file explorer* pane on the left. It may take another 30 seconds for the file to appear. If it doesn't appear, select the **Refresh** icon in the *file explorer* pane.
 
-    > [!TIP] You can clear the output messages by selecting the ellipsis (...) on the left of the code window for the *Output menu* and selecting the *Clear output* (square with an x*) icon.
+    > [!TIP]
+    > You can clear the output messages by selecting the ellipsis (...) on the left of the code window for the *Output menu* and selecting the *Clear output* (square with an x*) icon.
 
 1. Select the **msticpyconfig.yaml** file in the *file explorer* pane on the left to review the contents of the file and then close it.
 
 1. Proceed to section *3 Querying data with MSTICPy* and review the contents. Don't run the *Multiple Microsoft Sentinel workspaces* code cell as it fails, but the other code cells can be run successfully.
 
->**Note:** If you cannot complete the steps above to access the Notebook, you can follow it on its GitHub viewwer page instead. [Getting Started with Azure ML Notebooks and Microsoft Sentinel](https://nbviewer.org/github/Azure/Azure-Sentinel-Notebooks/blob/master/A%20Getting%20Started%20Guide%20For%20Azure%20Sentinel%20ML%20Notebooks.ipynb)
+> [!NOTE]
+> If you cannot complete the steps above to access the Notebook, you can follow it on its GitHub viewwer page instead. [Getting Started with Azure ML Notebooks and Microsoft Sentinel](https://nbviewer.org/github/Azure/Azure-Sentinel-Notebooks/blob/master/A%20Getting%20Started%20Guide%20For%20Azure%20Sentinel%20ML%20Notebooks.ipynb)

learn-pr/wwl-sci/perform-threat-hunting-sentinel-with-notebooks/index.yml

@@ -11,7 +11,7 @@ metadata:
 title: Hunt for threats using notebooks in Microsoft Sentinel
 summary: Learn how to use notebooks in Microsoft Sentinel for advanced hunting.
 abstract: |
-  Upon completion of this module, the learner will be able to:
+  Upon completion of this module, the learner is able to:
   - Explore API libraries for advanced threat hunting in Microsoft Sentinel
   - Describe notebooks in Microsoft Sentinel
   - Create and use notebooks in Microsoft Sentinel