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> **📋 Note**: This guide is specifically for post-deployment steps after using the AVM template. For complete deployment instructions, see the main [Deployment Guide](./DeploymentGuide.md).
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This document provides guidance on post-deployment steps after deploying the Conversation Knowledge Mining solution accelerator from the [AVM (Azure Verified Modules) repository](https://github.com/Azure/bicep-registry-modules/tree/main/avm/ptn/sa/conversation-knowledge-mining).
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## Prerequisites
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-**Deployed Infrastructure** - A successful Conversation Knowledge Mining solution accelerator deployment from the [AVM repository](https://github.com/Azure/bicep-registry-modules/tree/main/avm/ptn/sa/conversation-knowledge-mining)
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## Post Deployment Steps
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### 1. Access the Application
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1. Navigate to the [Azure Portal](https://portal.azure.com)
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2. Open the resource group created during deployment
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3. Locate the App Service with name starting with `app-`
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4. Copy the **URL** from the Overview page
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5. Open the URL in your browser to access the application
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### 2. Configure Authentication (Optional)
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If you want to enable authentication, configure it by following the [App Authentication Guide](./AppAuthentication.md).
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### 3. Verify Data Processing
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- Check that sample data has been uploaded to the storage account
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- Verify that the AI Search index has been created and populated
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- Confirm that the application loads without errors
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## Getting Started
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### Sample Questions
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Try these questions in the application to explore the solution capabilities:
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- "Total number of calls by date for the last 7 days"
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- "Show average handling time by topics in minutes"
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- "What are the top 7 challenges users reported?"
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- "Give a summary of billing issues"
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- "When customers call in about unexpected charges, what types of charges are they seeing?"
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1. Navigate to the storage account in the resource group you are using for this solution.
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2. Open the `data` container
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> **Note for WAF-aligned deployments:** If your deployment uses private networking, you'll need to log into a VM within the virtual network to upload files. See [VM login instructions](#how-to-login-to-vm-using-azure-bastion) below.
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3. If you have audio files, upload them to `custom_audiodata` folder. If you have call transcript files, upload them to `custom_transcripts` folder.
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4. Navigate to the terminal and run the `run_process_data_scripts.sh` to process the new data into the solution with the following commands.
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```shell
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```
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a. resourcegroupname_param - the name of the resource group.
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> Note (WAF‑aligned deployments): If you deployed the solution with the WAF / private networking option enabled, you must run the data processing script **from inside the deployed VM (jumpbox / processing VM)** so it can reach the private endpoints. Follow these steps:
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>
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> 1. Connect to the VM (Azure Bastion, SSH, or RDP depending on OS).
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> 2. Ensure the repo (or the `infra/scripts` folder) is present. If not, clone or pull it.
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> 3. Open a Bash-compatible shell (Git Bash on Windows, or native bash on Linux).
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> 4. Run `az login` (add `--tenant <tenantId>`if required by your org policy).
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