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Ken Lawson
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improved Acrolinx score
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learn-pr/wwl-sci/perform-threat-hunting-sentinel-with-notebooks/includes/4-create-notebook.md

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@@ -42,7 +42,7 @@ To get started with Notebooks, use the *Getting Started Guide For Microsoft Sent
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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 **(...)**.
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> [!NOTE]
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> 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.
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> You can have more screen space by hiding the Azure ML Studio left menu selections. Select the *Hamburger menu* (3 horizontal lines on the top left), and by collapsing the Notebooks Files by selecting the **<<** icon.
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1. Type a unique name in the *Compute name* field. This identifies your compute instance.
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> [!TIP]
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> Workload type: Development on Notebooks (or other IDE) and light weight testing.
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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.
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1. Select the **Review + Create** button at the bottom of the screen, then scroll down and select **Create**. Close any feedback window that appears. This takes a few minutes. You see a notification (bell icon) when it completes and the *Compute instance* left icon turns from blue to green.
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1. Once the Compute has been created and running, verify that the kernel to use is *Python 3.10 - Pytorch and Tensorflow*.
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1. Once the Compute is created and running, verify that the kernel to use is *Python 3.10 - Pytorch and Tensorflow*.
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> [!TIP]
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> 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.
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> 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 can select the **Refresh** icon on the far right to see the kernel options.
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1. Select the **Authenticate** button and wait for the authentication to complete.
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> [!TIP]
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> Section 1.2 *Running code in notebooks* lets you practice running small lines of Python code.
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1. In section *2 Initializing the notebook and MSTICPy*, review the content on initalizing the notebook and installing the MSTICPy package.
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1. In section *2 Initializing the notebook and MSTICPy*, review the content on initializing the notebook and installing the MSTICPy package.
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1. Run the *Python code* to initialize the cell by selecting the **Run cell** button (Play icon) to the left of the code.
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1. It should take >30 seconds to run. Once it's done, review the output messages and *disregard any warnings about the Python kernel version* or other error messages.
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1. It should take >30 seconds to run. Once it completes, review the output messages and *disregard any warnings about the Python kernel version* or other error messages.
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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.
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1. The code ran successfully if *msticpyconfig.yaml* was created in the *utils* folder in the *file explorer* pane on the left. It can take another 30 seconds for the file to appear. If it doesn't appear, select the **Refresh** icon in the *file explorer* pane.
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> [!TIP]
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> 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.
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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.
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> [!NOTE]
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> 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)
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> If you can't complete the steps above to access the Notebook, you can follow it on its GitHub viewer 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)

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