Merge branch 'main' of https://github.com/MicrosoftLearning/mslearn-azure-ml

Author: madiepev

Instructions/02-Explore-developer-tools.md

@@ -30,7 +30,7 @@ To start, open the Azure Cloud Shell, install the Azure Machine Learning extensi
 1. Check that the correct subscription is specified and select **Create storage** if you are asked to create storage for your cloud shell. Wait for the storage to be created.
 1. Remove any ML CLI extensions (both version 1 and 2) to avoid any conflicts with previous versions with this command:
 
-    ```
+    ```azurecli
     az extension remove -n azure-cli-ml
     az extension remove -n ml
     ```
@@ -41,7 +41,7 @@ To start, open the Azure Cloud Shell, install the Azure Machine Learning extensi
 
 1. Install the Azure Machine Learning (v2) extension with the following command:
     
-    ```
+    ```azurecli
     az extension add -n ml -y
     ```
 

Instructions/03-Make-data-available.md

@@ -28,7 +28,7 @@ To create the Azure Machine Learning workspace and compute resources, you'll use
 1. Check that the correct subscription is specified and select **Create storage** if you are asked to create storage for your cloud shell. Wait for the storage to be created.
 1. Enter the following commands in the terminal to clone this repo:
 
-    ```bash
+    ```azurecli
     rm -r azure-ml-labs -f
     git clone https://github.com/MicrosoftLearning/mslearn-azure-ml.git azure-ml-labs
     ```
@@ -37,7 +37,7 @@ To create the Azure Machine Learning workspace and compute resources, you'll use
 
 1. Enter the following commands after the repo has been cloned, to change to the folder for this lab and run the **setup.sh** script it contains:
 
-    ```bash
+    ```azurecli
     cd azure-ml-labs/Labs/03
     ./setup.sh
     ```

Instructions/04-Work-with-compute.md

@@ -25,7 +25,7 @@ To create the Azure Machine Learning workspace, you'll use the Azure CLI. All ne
 1. Check that the correct subscription is specified and select **Create storage** if you are asked to create storage for your cloud shell. Wait for the storage to be created.
 1. To avoid any conflicts with previous versions, remove any ML CLI extensions (both version 1 and 2) by running this command in the terminal:
 
-    ```bash
+    ```azurecli
     az extension remove -n azure-cli-ml
     az extension remove -n ml
     ```
@@ -36,7 +36,7 @@ To create the Azure Machine Learning workspace, you'll use the Azure CLI. All ne
 
 1. Install the Azure Machine Learning (v2) extension with the following command:
     
-    ```bash
+    ```azurecli
     az extension add -n ml -y
     ```
 
@@ -69,7 +69,7 @@ To run notebooks within the Azure Machine Learning workspace, you'll need a comp
 1. Change the file name to `compute-setup.sh`.
 1. Open the newly created **compute-setup.sh** file and paste the following to its content:
 
-    ```bash
+    ```azurecli
     #!/bin/bash
 
     # clone repository
@@ -86,8 +86,8 @@ To create the compute instance, you can use the studio, Python SDK, or Azure CLI
 1. In the **Compute instances** tab, select **New**.
 1. Configure (don't create yet) the compute instance with the following settings: 
     - **Compute name**: *enter a unique name*
-    - **Virtual machine type**: `CPU`
-    - **Virtual machine size**: `Standard_DS11_v2`
+    - **Virtual machine type**: *CPU*
+    - **Virtual machine size**: *Standard_DS11_v2*
 1. Select **Next: Advanced settings**.
 1. Select **Add schedule** and configure the schedule to **stop** the compute instance every day at **18:00** or **6:00 PM**. 
 1. Select the toggle for **Provision with setup script**. 

Instructions/04-Work-with-environments.md

@@ -29,7 +29,7 @@ To create the Azure Machine Learning workspace and compute resources, you'll use
 1. Check that the correct subscription is specified and select **Create storage** if you are asked to create storage for your cloud shell. Wait for the storage to be created.
 1. In the terminal, enter the following commands to clone this repo:
 
-    ```bash
+    ```azurecli
     rm -r azure-ml-labs -f
     git clone https://github.com/MicrosoftLearning/mslearn-azure-ml.git azure-ml-labs
     ```
@@ -38,7 +38,7 @@ To create the Azure Machine Learning workspace and compute resources, you'll use
 
 1. After the repo has been cloned, enter the following commands to change to the folder for this lab and run the **setup.sh** script it contains:
 
-    ```bash
+    ```azurecli
     cd azure-ml-labs/Labs/04
     ./setup.sh
     ```

Instructions/05-Designer-train-model.md

@@ -29,7 +29,7 @@ To create the Azure Machine Learning workspace and a compute cluster, you'll use
 1. Check that the correct subscription is specified and select **Create storage** if you are asked to create storage for your cloud shell. Wait for the storage to be created.
 1. In the terminal, enter the following commands to clone this repo:
 
-    ```bash
+    ```azurecli
     rm -r azure-ml-labs -f
     git clone https://github.com/MicrosoftLearning/mslearn-azure-ml.git azure-ml-labs
     ```
@@ -38,7 +38,7 @@ To create the Azure Machine Learning workspace and a compute cluster, you'll use
 
 1. After the repo has been cloned, enter the following commands to change to the folder for this lab and run the setup.sh script it contains:
 
-    ```bash
+    ```azurecli
     cd azure-ml-labs/Labs/05
     ./setup.sh
     ```

Instructions/06-AutoML-classification-model.md

@@ -29,7 +29,7 @@ To create the Azure Machine Learning workspace, a compute instance, and a comput
 1. Check that the correct subscription is specified and select **Create storage** if you are asked to create storage for your cloud shell. Wait for the storage to be created.
 1. In the terminal, enter the following commands to clone this repo:
 
-    ```bash
+    ```azurecli
     rm -r azure-ml-labs -f
     git clone https://github.com/MicrosoftLearning/mslearn-azure-ml.git azure-ml-labs
     ```
@@ -38,7 +38,7 @@ To create the Azure Machine Learning workspace, a compute instance, and a comput
 
 1. After the repo has been cloned, enter the following commands to change to the folder for this lab and run the **setup.sh** script it contains:
 
-    ```bash
+    ```azurecli
     cd azure-ml-labs/Labs/06
     ./setup.sh
     ```

Instructions/07-Notebooks-mlflow-tracking.md

@@ -28,7 +28,7 @@ To create the Azure Machine Learning workspace and a compute instance, you'll us
 1. Check that the correct subscription is specified and select **Create storage** if you are asked to create storage for your cloud shell. Wait for the storage to be created.
 1. In the terminal, enter the following commands to clone this repo:
 
-    ```bash
+    ```azurecli
     rm -r azure-ml-labs -f
     git clone https://github.com/MicrosoftLearning/mslearn-azure-ml.git azure-ml-labs
     ```
@@ -37,7 +37,7 @@ To create the Azure Machine Learning workspace and a compute instance, you'll us
 
 1. After the repo has been cloned, enter the following commands to change to the folder for this lab and run the **setup.sh** script it contains:
 
-    ```bash
+    ```azurecli
     cd azure-ml-labs/Labs/07
     ./setup.sh
     ```

Instructions/08-Script-command-job.md

@@ -29,7 +29,7 @@ To create the Azure Machine Learning workspace, a compute instance, and a comput
 1. Check that the correct subscription is specified and select **Create storage** if you are asked to create storage for your cloud shell. Wait for the storage to be created.
 1. In the terminal, enter the following commands to clone this repo:
 
-    ```bash
+    ```azurecli
     rm -r azure-ml-labs -f
     git clone https://github.com/MicrosoftLearning/mslearn-azure-ml.git azure-ml-labs
     ```
@@ -38,7 +38,7 @@ To create the Azure Machine Learning workspace, a compute instance, and a comput
 
 1. After the repo has been cloned, enter the following commands to change to the folder for this lab and run the **setup.sh** script it contains:
     
-    ```bash
+    ```azurecli
     cd azure-ml-labs/Labs/08
     ./setup.sh
     ```
@@ -85,7 +85,7 @@ Using a notebook attached to a compute instance is ideal for experimentation and
 1. Run all cells to explore the code and train a model.
 1. Select the ☰ icon at the top of the notebook to view the **notebook menu**. 
 1. Expand **Export as**, and select **Python (.py)** to convert the notebook to a Python script.
-1. Name the new file **train-classification-model.py**. 
+1. Name the new file `train-classification-model.py`. 
 1. Once the new file is created, the script should automatically be opened. Explore the file and note that it contains the same code as the notebook.
 1. Select the ▷▷ icon at the top of the notebook to **save and run the script in the terminal**.
 1. The script is initiated by the command **python train-classification-model.py** and the output should be shown below the command. 

Instructions/08-Script-mlflow-tracking.md

@@ -29,7 +29,7 @@ To create the Azure Machine Learning workspace, a compute instance, and a comput
 1. Check that the correct subscription is specified and select **Create storage** if you are asked to create storage for your cloud shell. Wait for the storage to be created.
 1. In the terminal, enter the following commands to clone this repo:
 
-    ```bash
+    ```azurecli
     rm -r azure-ml-labs -f
     git clone https://github.com/MicrosoftLearning/mslearn-azure-ml.git azure-ml-labs
     ```
@@ -38,7 +38,7 @@ To create the Azure Machine Learning workspace, a compute instance, and a comput
 
 1. After the repo has been cloned, enter the following commands to change to the folder for this lab and run the **setup.sh** script it contains:
     
-    ```bash
+    ```azurecli
     cd azure-ml-labs/Labs/08
     ./setup.sh
     ```

Instructions/09-Hyperparameter-tuning.md

@@ -29,7 +29,7 @@ To create the Azure Machine Learning workspace, a compute instance, and a comput
 1. Check that the correct subscription is specified and select **Create storage** if you are asked to create storage for your cloud shell. Wait for the storage to be created.
 1. In the terminal, enter the following commands to clone this repo:
 
-    ```bash
+    ```azurecli
     rm -r azure-ml-labs -f
     git clone https://github.com/MicrosoftLearning/mslearn-azure-ml.git azure-ml-labs
     ```
@@ -38,7 +38,7 @@ To create the Azure Machine Learning workspace, a compute instance, and a comput
 
 1. After the repo has been cloned, enter the following commands to change to the folder for this lab and run the **setup.sh** script it contains:
     
-    ```bash
+    ```azurecli
     cd azure-ml-labs/Labs/09
     ./setup.sh
     ```

Instructions/09-Run-pipelines.md

@@ -29,7 +29,7 @@ To create the Azure Machine Learning workspace, a compute instance, and a comput
 1. Check that the correct subscription is specified and select **Create storage** if you are asked to create storage for your cloud shell. Wait for the storage to be created.
 1. In the terminal, enter the following commands to clone this repo:
 
-    ```bash
+    ```azurecli
     rm -r azure-ml-labs -f
     git clone https://github.com/MicrosoftLearning/mslearn-azure-ml.git azure-ml-labs
     ```
@@ -38,7 +38,7 @@ To create the Azure Machine Learning workspace, a compute instance, and a comput
 
 1. After the repo has been cloned, enter the following commands to change to the folder for this lab and run the **setup.sh** script it contains:
     
-    ```bash
+    ```azurecli
     cd azure-ml-labs/Labs/09
     ./setup.sh
     ```

Instructions/10-Compare-models.md

@@ -29,7 +29,7 @@ To create the Azure Machine Learning workspace, a compute instance, and a comput
 1. Check that the correct subscription is specified and select **Create storage** if you are asked to create storage for your cloud shell. Wait for the storage to be created.
 1. In the terminal, enter the following commands to clone this repo:
 
-    ```bash
+    ```azurecli
     rm -r azure-ml-labs -f
     git clone https://github.com/MicrosoftLearning/mslearn-azure-ml.git azure-ml-labs
     ```
@@ -38,7 +38,7 @@ To create the Azure Machine Learning workspace, a compute instance, and a comput
 
 1. After the repo has been cloned, enter the following commands to change to the folder for this lab and run the **setup.sh** script it contains:
     
-    ```bash
+    ```azurecli
     cd azure-ml-labs/Labs/10
     ./setup.sh
     ```

Instructions/10-Log-mlflow-models.md

@@ -29,7 +29,7 @@ To create the Azure Machine Learning workspace, a compute instance, and a comput
 1. Check that the correct subscription is specified and select **Create storage** if you are asked to create storage for your cloud shell. Wait for the storage to be created.
 1. In the terminal, enter the following commands to clone this repo:
 
-    ```bash
+    ```azurecli
     rm -r azure-ml-labs -f
     git clone https://github.com/MicrosoftLearning/mslearn-azure-ml.git azure-ml-labs
     ```
@@ -38,7 +38,7 @@ To create the Azure Machine Learning workspace, a compute instance, and a comput
 
 1. After the repo has been cloned, enter the following commands to change to the folder for this lab and run the **setup.sh** script it contains:
     
-    ```bash
+    ```azurecli
     cd azure-ml-labs/Labs/10
     ./setup.sh
     ```

Instructions/11-Deploy-batch-endpoint.md

@@ -29,7 +29,7 @@ To create the Azure Machine Learning workspace, a compute instance, and a comput
 1. Check that the correct subscription is specified and select **Create storage** if you are asked to create storage for your cloud shell. Wait for the storage to be created.
 1. In the terminal, enter the following commands to clone this repo:
 
-    ```bash
+    ```azurecli
     rm -r azure-ml-labs -f
     git clone https://github.com/MicrosoftLearning/mslearn-azure-ml.git azure-ml-labs
     ```
@@ -38,7 +38,7 @@ To create the Azure Machine Learning workspace, a compute instance, and a comput
 
 1. After the repo has been cloned, enter the following commands to change to the folder for this lab and run the **setup.sh** script it contains:
     
-    ```bash
+    ```azurecli
     cd azure-ml-labs/Labs/11
     ./setup.sh
     ```

Instructions/11-Deploy-online-endpoint.md

@@ -29,7 +29,7 @@ To create the Azure Machine Learning workspace, a compute instance, and a comput
 1. Check that the correct subscription is specified and select **Create storage** if you are asked to create storage for your cloud shell. Wait for the storage to be created.
 1. In the terminal, enter the following commands to clone this repo:
 
-    ```bash
+    ```azurecli
     rm -r azure-ml-labs -f
     git clone https://github.com/MicrosoftLearning/mslearn-azure-ml.git azure-ml-labs
     ```
@@ -38,7 +38,7 @@ To create the Azure Machine Learning workspace, a compute instance, and a comput
 
 1. After the repo has been cloned, enter the following commands to change to the folder for this lab and run the **setup.sh** script it contains:
     
-    ```bash
+    ```azurecli
     cd azure-ml-labs/Labs/11
     ./setup.sh
     ```

Policies/DP-100 Base + LP11.json

@@ -0,0 +1,52 @@
+{
+    "if": {
+        "not": {
+            "anyOf": [                           
+                {
+                    "field": "type",
+                    "contains": "Microsoft.Storage/storageAccounts"
+                },
+                {
+                    "field": "type",
+                    "contains": "Microsoft.insights/"
+                },
+                {
+                    "field": "type",
+                    "contains": "Microsoft.ContainerInstance/containerGroups"
+                },
+                {
+                    "field": "type",
+                    "contains": "Microsoft.ContainerRegistry/registries"
+                },
+                {
+                    "field": "type",
+                    "contains": "Microsoft.KeyVault/vaults"
+                },
+                {
+                    "field": "type",
+                    "contains": "Microsoft.AlertsManagement/smartDetectorAlertRules"
+                },
+                {
+                    "field": "type",
+                    "contains": "Microsoft.OperationalInsights/workspaces"
+                },
+                {
+                    "field":"type",
+                    "equals":"Microsoft.MachineLearningServices/workspaces"
+                },
+                {
+                    "field":"type",
+                    "contains":"Microsoft.MachineLearningServices/workspaces/onlineEndpoints"
+                },
+                {
+                    "field":"type",
+                    "contains":"Microsoft.MachineLearningServices/workspaces/batchEndpoints"
+                }
+            ]
+            
+        }
+    },
+    "then": {
+        "effect": "Deny"
+    }
+}

Policies/DP-100 Base.json

@@ -0,0 +1,44 @@
+{
+    "if": {
+        "not": {
+            "anyOf": [                           
+                {
+                    "field": "type",
+                    "contains": "Microsoft.Storage/storageAccounts"
+                },
+                {
+                    "field": "type",
+                    "contains": "Microsoft.insights/"
+                },
+                {
+                    "field": "type",
+                    "contains": "Microsoft.ContainerInstance/containerGroups"
+                },
+                {
+                    "field": "type",
+                    "contains": "Microsoft.ContainerRegistry/registries"
+                },
+                {
+                    "field": "type",
+                    "contains": "Microsoft.KeyVault/vaults"
+                },
+                {
+                    "field": "type",
+                    "contains": "Microsoft.AlertsManagement/smartDetectorAlertRules"
+                },
+                {
+                    "field": "type",
+                    "contains": "Microsoft.OperationalInsights/workspaces"
+                },
+                {
+                    "field":"type",
+                    "equals":"Microsoft.MachineLearningServices/workspaces"
+                }
+            ]
+            
+        }
+    },
+    "then": {
+        "effect": "Deny"
+    }
+}