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