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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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---
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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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