AI-900: Seamless Multichannel Conversations: Choosing the Ideal Service for your Conversational AI Solution

Discover the perfect service to power your conversational AI solution, enabling effective communication with users across email, Microsoft Teams, and webchat. Explore the benefits and functionalities of Text Analytics, Azure Bot Service, Translator, and Form Recognizer. Streamline your multichannel conversations and deliver a seamless user experience by selecting the most suitable service for your conversational AI solution.

Question

You are developing a conversational AI solution that will communicate with users through multiple channels including email, Microsoft Teams, and webchat. Which service should you use?

A. Text Analytics
B. Azure Bot Service
C. Translator
D. Form Recognizer

Answer

B. Azure Bot Service

Explanation

The correct answer is B. Azure Bot Service.

Azure Bot Service is a cloud service that enables you to build, connect, test, and deploy intelligent bots that can communicate with users through multiple channels such as email, Microsoft Teams, and webchat. Azure Bot Service provides a rich set of features and capabilities to create conversational AI solutions, such as:

• A bot framework SDK that supports multiple programming languages, such as C#, JavaScript, Python, and Java.
• A bot framework composer that allows you to design and build bots using a graphical interface and a declarative language.
• A bot framework emulator that enables you to test and debug your bots locally or remotely.
• A bot framework portal that helps you register, configure, and manage your bots.
• A bot framework channels that enable you to connect your bots to various communication platforms, such as email, Microsoft Teams, webchat, Facebook Messenger, Skype, Slack, and more.
• A bot framework skills that allow you to reuse existing bot functionality across different bots or scenarios.
• A bot framework adaptive dialogs that enable you to create dynamic and flexible conversational flows that can handle interruptions, context switching, and ambiguity.
• A bot framework language generation that allows you to generate natural language responses from structured data or logic.
• A bot framework QnA Maker that enables you to create a knowledge base from FAQs, documents, or URLs, and provide answers to natural language queries.
• A bot framework LUIS that helps you build natural language understanding models that can identify the intents and entities of user utterances.

The other options are not correct because:

• Text Analytics is a cognitive service that provides natural language processing capabilities, such as sentiment analysis, key phrase extraction, language detection, and entity recognition. It does not enable you to build and connect bots to multiple channels.
• Translator is a cognitive service that provides machine translation capabilities for text and speech. It does not enable you to build and connect bots to multiple channels.
• Form Recognizer is a cognitive service that uses machine learning to extract text and data from forms and documents. It does not enable you to build and connect bots to multiple channels.

References

Microsoft Docs > Azure > Applied AI Services > Azure Bot Service > Bot Framework SDK > Overview > What is the Bot Framework SDK?

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Microsoft Azure AI Fundamentals AI-900 exam and earn Microsoft Azure AI Fundamentals AI-900 certification.