AI-900: How to Create and Manage Chatbots with Azure Services

Learn how to create and manage chatbots with Azure services. Find out the answers to some common questions about chatbots, such as whether they can support voice input, whether they need a separate chatbot for each communication channel, and how they manage conversation flows.

Question

HOTSPOT (Drag & Drop is not supported)
For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

Statement 1: Chatbots can support voice input.
Statement 2: A separate chatbot is required for each communication channel.
Statement 3: Chatbots manage conversation flows by using a combination of natural language and constrained option responses.

Answer

Statement 1: Chatbots can support voice input: Yes
Statement 2: A separate chatbot is required for each communication channel: No
Statement 3: Chatbots manage conversation flows by using a combination of natural language and constrained option responses: Yes

Explanation

Statement 1: Chatbots can support voice input. Yes

Explanation: Chatbots are software applications that can interact with users using natural language, either through text or speech. Chatbots can support voice input by using speech recognition technologies that can convert spoken words into text that can be processed by the chatbot’s natural language understanding component. Voice input can enable chatbots to provide more natural and convenient user experiences, especially for mobile devices or hands-free scenarios.

Statement 2: A separate chatbot is required for each communication channel. No

Explanation: Chatbots can be integrated with different communication channels, such as websites, mobile apps, social media platforms, messaging apps, or voice assistants. However, this does not mean that a separate chatbot is required for each channel. Chatbots can use a common backend service that handles the natural language processing, dialog management, and business logic, while using different frontend interfaces that adapt to the specific channel’s requirements and capabilities. This way, chatbots can provide consistent and seamless user experiences across multiple channels, while reducing the development and maintenance costs.

Statement 3: Chatbots manage conversation flows by using a combination of natural language and constrained option responses. Yes

Explanation: Chatbots manage conversation flows by using a combination of natural language and constrained option responses. Natural language responses are those that allow the user to type or say anything they want, while constrained option responses are those that provide the user with a limited set of choices, such as buttons, menus, or cards. Chatbots can use both types of responses depending on the context and the goal of the conversation. Natural language responses can enable more flexible and expressive user interactions, while constrained option responses can simplify the user input and guide the user towards the desired outcome. Chatbots can also switch between the two types of responses dynamically, depending on the user’s input and the chatbot’s confidence.

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