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AI-900: Conversational AI Use Cases: Chatbots and Virtual AssistantsAI-900:

Conversational AI delivers natural interactions through voice and text. Chatbots and virtual assistants exemplify platforms that use AI to understand requests and respond conversationally.

Question

Which two scenarios are examples of a conversational AI workload? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. a smart device in the home that responds to questions such as “What will the weather be like today?”
B. a website that uses a knowledge base to interactively respond to users’ questions
C. assembly line machinery that autonomously inserts headlamps into cars
D. monitoring the temperature of machinery to turn on a fan when the temperature reaches a specific threshold

Answer

A. a smart device in the home that responds to questions such as “What will the weather be like today?”
B. a website that uses a knowledge base to interactively respond to users’ questions

Explanation

The correct answer is A and B.

A. a smart device in the home that responds to questions such as “What will the weather be like today?” is an example of a conversational AI workload. A conversational AI workload is a type of artificial intelligence that enables natural and rich interactions between humans and machines using natural language processing (NLP) and speech technologies. A smart device in the home, such as a smart speaker or a smart display, can use conversational AI to understand the user’s voice commands and queries, and provide relevant and personalized responses. For example, a user can ask a smart device about the weather, the news, the traffic, the calendar, etc., and the device can use conversational AI to access various sources of information and generate natural and engaging responses.

B. a website that uses a knowledge base to interactively respond to users’ questions is an example of a conversational AI workload. A knowledge base is a collection of information that can be used to answer questions on a specific domain or topic. A website can use a knowledge base to create a conversational interface that can interact with users’ questions using natural language, and provide accurate and relevant answers. For example, a website can use a knowledge base to create a chatbot that can answer frequently asked questions (FAQs) about a product, a service, a company, etc., and provide additional information or guidance as needed.

C. assembly line machinery that autonomously inserts headlamps into cars is not an example of a conversational AI workload. This is an example of a robotic process automation (RPA) workload, which is a type of artificial intelligence that automates repetitive and rule-based tasks that are usually performed by humans. RPA can use computer vision, machine learning, and other technologies to mimic human actions and interactions with software applications and systems. For example, RPA can be used to automate data entry, invoice processing, email handling, etc. RPA does not involve natural language processing or speech technologies, and does not require natural and rich interactions between humans and machines.

D. monitoring the temperature of machinery to turn on a fan when the temperature reaches a specific threshold is not an example of a conversational AI workload. This is an example of an Internet of Things (IoT) workload, which is a type of artificial intelligence that connects physical devices and sensors to the internet and enables data collection, analysis, and control. IoT can use various technologies, such as cloud computing, edge computing, machine learning, etc., to enable smart and efficient operations and management of devices and systems. For example, IoT can be used to monitor and optimize energy consumption, security, health, agriculture, etc. IoT does not involve natural language processing or speech technologies, and does not require natural and rich interactions between humans and machines.

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.

Microsoft Azure AI Fundamentals AI-900 certification exam practice question and answer (Q&A) dump

Alex Lim is a certified IT Technical Support Architect with over 15 years of experience in designing, implementing, and troubleshooting complex IT systems and networks. He has worked for leading IT companies, such as Microsoft, IBM, and Cisco, providing technical support and solutions to clients across various industries and sectors. Alex has a bachelor’s degree in computer science from the National University of Singapore and a master’s degree in information security from the Massachusetts Institute of Technology. He is also the author of several best-selling books on IT technical support, such as The IT Technical Support Handbook and Troubleshooting IT Systems and Networks. Alex lives in Bandar, Johore, Malaysia with his wife and two chilrdren. You can reach him at [email protected] or follow him on Website | Twitter | Facebook

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