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Building Bots with Azure Bot Services Flashcards
Microsoft Azure AI Engineer Associate AI-102 Flashcards
| Front | Back |
| Benefits of integrating bots with Power Virtual Agents | Allows no-code environment for quicker bot creation |
| Benefits of using Azure Bot Services | Scalability, integration options, and cognitive capabilities |
| Best practices for multi-language bots | Use localization files and integrate language detection capabilities |
| Components of Azure Bot Services | Conversation builder, bot hosting environment, and AI integrations |
| Difference between proactive and reactive messaging | Reactive responds to user prompts; proactive initiates communication |
| Difference between WaterfallDialog and AdaptiveDialog | WaterfallDialog follows a fixed step sequence; AdaptiveDialog is dynamic based on conditions |
| Function of the Bot Framework Emulator | Simulates communication with your bot locally |
| How bots can maintain conversation state | Using Azure Cosmos DB or Bot Framework's state management tools |
| How does bot telemetry work | Collects and logs data about bot usage for insights |
| How to enhance bot personalization | Utilizing user profiles and past interaction context |
| How to handle interruptions in dialogs | Use interruption management techniques like the onInterrupt trigger |
| How to optimize bot performance | Regularly review usage, update intents, and optimize resource allocation |
| Importance of Bot Channels Registration | Enables integration with multiple communication platforms |
| Important programming languages for bot development | C# and JavaScript |
| Key advantage of Azure Bot Services | Easy integration with Azure AI tools and services |
| Key features of Azure Bot Services' analytics | Tracks user behavior, identifies issues, and monitors bot performance |
| Method to test bots during development | Using the Bot Framework Emulator |
| Primary purpose of bots | Automating conversational experiences with users |
| Purpose of Adaptive Expressions in Bot Framework | Enables complex data manipulation and decision-making logic |
| Purpose of Bot Framework Composer | Provides a visual design interface for building bots without coding |
| Purpose of LUIS in bot development | Provides language understanding capabilities to interpret user intents |
| Recommended authentication method for secure bot communication | OAuth2 |
| Role of AI Builder in bot development | Enhances bots with machine learning models to automate processes |
| Role of Azure App Service in bot hosting | Hosts the bot and provides scalability and management features |
| Role of hand-off in bots | Transfers users to human agents for complex issues or support |
| Role of the Bot Connector Service | Connects bots with multiple communication channels |
| Security features provided with Azure Bot Services | Encryption, authentication, and role-based access control |
| Steps to deploy bots on Azure | Create a bot resource, configure settings, and publish code |
| Supported communication channels for Azure Bot Services | Web Chat, Microsoft Teams, Facebook Messenger, and more |
| Use of Adaptive Cards in bots | Provides a framework for creating interactive, visually rich UI elements |
| Use of Orchestrator in advanced bot scenarios | Manages complex bot or multi-bot interactions through intent routing |
| What are channel-specific capabilities | Features unique to each communication channel, like rich media support |
| What are dispatch models in bot development | Route user input to the appropriate bot service or intent |
| What are Webhooks in the context of bots | Enable real-time communication with external systems |
| What does the Bot Framework SDK provide | Tools and libraries for bot development |
| What is a Dialog in Bot Framework | A logical conversation process or workflow in a bot |
| What is a Virtual Assistant in Azure Bot Services | A pre-built bot solution tailored for complex scenarios |
| What is Azure Bot Services | A cloud-based platform for building and deploying intelligent bots |
| What is Direct Line API | Enables secure communication between custom applications and bots |
| What is Microsoft Cognitive Speech Service in bots | Converts speech to text and text to speech for voice-enabled bots |
| What is QnA Maker | A tool for building knowledge base bots by creating question-and-answer pairs |
| What is sentiment analysis in bots | Determines user’s emotional tone to personalize responses |
| What is skills integration in Azure Bot Services | Allows bots to leverage capabilities of other bots |
| What is the Bot Framework | A comprehensive framework for creating conversational AI experiences |
| What is the role of Azure Cognitive Services in bots | Enables intelligence features such as speech recognition and sentiment analysis |
This deck focuses on designing, building, and integrating intelligent bots using Azure Bot Services and Bot Framework.