![]() If you don’t have a compute instance, create one by following step 5 in Launch a notebook using your Azure ML workspace. Select a compute instance for your notebook server.It contains tenant_id, subscription_id, resource_group, workspace_id, and workspace_name, which are used for Azure Authentication (see step 9 below). The config.json file has configuration information about your Azure Sentinel environment where your notebook was launched from.The Guided Hunting - Base64-Encoded Linux Commands.ipynb file has the main content of the notebook.In the AML workspace, notice that a Guided Hunting - Base64-Encoded Linux Commands.ipynb file and a config.json file have been automatically generated from step 6 above.Then you are prompted to log into the AML workspace. From the same panel, select Launch notebook. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |