Topic 3: Misc. Questions
You plan to build a chatbot to support task tracking.
You create a Language Understanding service named lu1.
You need to build a Language Understanding model to integrate into the chatbot. The solution must minimize development time to build the model.
Which four actions should you perform in sequence? To answer, move the appropriate
actions from the list of actions to the answer area and arrange them in the correct order.
(Choose four.)
Explanation:
1. Add a new application
2. Add a prebuilt domain intent ToDo (it has already utterances so we can skip this step)
3. Train
4. Publish
You are designing a conversation flow to be used in a chatbot.
You need to test the conversation flow by using the Microsoft Bot Framework Emulator.
How should you complete the .chat file? To answer, select the appropriate options in the
answer area.
NOTE: Each correct selection is worth one point.
Match the Azure services to the appropriate locations in the architecture.
To answer, drag the appropriate service from the column on the left to its location on the
right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
What is used to define a query in a stream processing jobs in Azure Stream Analytics?
A.
SQL
B.
XML
C.
YAML
D.
KOL
SQL
You have a Language Understanding resource named lu1.
You build and deploy an Azure bot named bot1 that uses lu1.
You need to ensure that bot1 adheres to the Microsoft responsible AI principle of
inclusiveness.
How should you extend bot1?
A.
Implement authentication for bot1
B.
Enable active learning for Iu1
C.
Host Iu1 in a container
D.
Add Direct Line Speech to bot1.
Add Direct Line Speech to bot1.
Explanation:
Inclusiveness: AI systems should empower everyone and engage people.
Direct Line Speech is a robust, end-to-end solution for creating a flexible, extensible voice
assistant. It is powered by the Bot Framework and its Direct Line Speech channel, that is
optimized for voice-in, voice-out interaction with bots.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/direct-line-speech
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