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Questions and Answers
What is the purpose of creating an automated public address system for a train station?
If you need an app to read recipe instructions aloud for users with reduced vision, which service should you use?
In the context of cognitive services, what type of AI workload should be used to detect when a customer is upset based on chatbot interactions?
Which service would be most appropriate for creating a transcript of a telephone call or meeting?
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If you want to build an app that understands and interprets language, which cognitive service should you choose?
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Which cognitive service should you select to analyze and interpret large volumes of text from various sources?
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What type of service can be integrated with Azure bot service to provide powerful AI capabilities?
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How does Azure bot service engage with customers?
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What does the QnA Maker service create?
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To improve the relevance of responses over time, which technique should be used according to the provided reference?
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When developing a conversational AI solution for multiple channels, which service should be utilized?
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What specific service is recommended for a conversational AI solution that communicates with users through email, Microsoft Teams, and webchat?
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What are two popular tools to create a bot that answers user questions?
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Which scenario is an example of a conversational AI workload?
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In the exhibited process, what type of AI solution is shown?
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Which service should you use to develop a web-based AI solution for a customer support system?
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What type of system is NOT an example of conversational AI workload?
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Which pair of services are typically used together to create a chatbot?
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Study Notes
Automated Public Address System
- Enhances communication in train stations for safety and announcements.
- Ensures timely information delivery to passengers during disruptions or emergencies.
App for Recipe Instructions
- Use a text-to-speech service to read recipe instructions aloud for visually impaired users.
Cognitive Services for Emotion Detection
- Implement natural language processing (NLP) AI workloads to analyze chatbot interactions for detecting customer emotions, particularly upset sentiments.
Transcript Creation Services
- Utilize speech-to-text services for accurate transcripts of telephone calls and meetings.
Language Understanding Cognitive Service
- Choose natural language understanding (NLU) services to build apps that understand and interpret human language.
Text Analysis Cognitive Service
- Opt for text analytics services to analyze and interpret large volumes of text from various sources.
AI Integration with Azure Bot Service
- Incorporate machine learning services to enhance Azure Bot Service with powerful AI capabilities.
Customer Engagement via Azure Bot Service
- Azure Bot Service engages customers through multiple channels, providing consistent service across different platforms.
QnA Maker Service Functionality
- Creates a knowledge base from FAQs, allowing bots to respond accurately to user inquiries.
Improving Response Relevance
- Continuously apply machine learning techniques to update and enhance relevance of responses over time.
Conversational AI Solution Development
- Utilize the Azure Bot Framework for developing a conversational AI solution optimized for multiple channels.
Service for Multi-channel Communication
- Select a combination of Azure Bot Service and other cognitive services for email, Microsoft Teams, and webchat interactions.
Tools for Creating User Question Answering Bots
- Popular tools include the Microsoft Bot Framework and QnA Maker for developing bots that answer user questions.
Example of Conversational AI Workload
- Scenarios where users interact with bots for customer support or information inquiries demonstrate conversational AI workloads.
Exhibited AI Solution
- The showcased process represents a dialogue management solution within conversational AI.
Web-based AI Customer Support Development
- Use cloud-based AI services that allow for scalable customer support systems as a web application.
Non-Example of Conversational AI Workload
- Systems that do not allow for interactive, user-initiated dialogue are not considered conversational AI workloads.
Pair of Services for Chatbot Creation
- Typically, the combination of Azure Bot Service and Cognitive Services is used to develop effective chatbots.
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Description
Test your knowledge on developing speech to text applications, covering topics such as creating an automated public address system for a train station, transcribing telephone calls or meetings, and utilizing cloud services like Microsoft Azure Cognitive Services.
