In your chatbot application, you decide to add dialogs in order to improve user experience for the long running conversations.
The active dialogs are managed through the state.
While Azure offers a number of dialog types, which dialog type would you choose in your chatbot application that guides a user through a linear process or a series of tasks.
Click on the arrows to vote for the correct answer
A. B. C. D.Correct Answer: A.
Option A is correct because the waterfall dialog guides the user through the liner process.
Each step is processed as an asynchronous function.
At each step the user provides the input that is passed to the next step.
Option B is incorrect because the Adaptive dialog is meant for more natural conversation flows.
User can respond to two questions with a single response, provide an alternate answer or change the context of the conversation altogether.
Option C is incorrect because the Skill dialog gets a response from the skill bot to the parent bot.
Option D is incorrect because the Action dialog, as the name suggests, supports the implementation of actions such as update activity or delete activity.
Reference:
To learn more about dialog types in bot framework, use the link given below:
In a chatbot application, dialogs play a crucial role in managing the conversation flow and providing an intuitive user experience. Dialogs guide users through a series of prompts and responses, collect required information, and execute necessary actions. There are various types of dialogs available in Azure that can be used depending on the specific requirements of the chatbot application.
If you want to guide the user through a linear process or a series of tasks, the most suitable dialog type would be a Waterfall dialog. A Waterfall dialog is a simple dialog that presents a sequence of steps to the user, one at a time, in a predefined order. The user progresses through the steps of the dialog, providing the required input at each step, until the final task is completed. Once a Waterfall dialog is initiated, it manages the conversation flow until the end of the dialog or until it is interrupted by the user or by an external event.
Waterfall dialogs are particularly useful for implementing task-oriented dialogues, such as booking a hotel room, making a restaurant reservation, or ordering a pizza. The sequence of steps in a Waterfall dialog can be easily defined using a set of prompts and validators. Additionally, Waterfall dialogs can store state data between steps, allowing the user to resume the conversation at any point in the future, if necessary.
Adaptive dialogs, on the other hand, are more complex and dynamic dialogues that use rules and conditions to control the flow of the conversation. Adaptive dialogs are suitable for more complex scenarios, where the conversation needs to be adaptable and flexible based on the user's input and the context of the conversation.
Skill dialogs are used to invoke external services, such as a language translator or a search engine, as part of the conversation flow. Skill dialogs are typically used in multi-turn conversations that require additional functionality beyond what the bot can provide.
Action dialogs are used to execute a specific action or command, such as triggering a webhook or updating a database, as part of the conversation flow.
In summary, if you want to guide the user through a linear process or a series of tasks, a Waterfall dialog would be the most appropriate choice for your chatbot application.