DRAG DROP -
Match the types of AI workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Select and Place:
Box 1: Knowledge mining -
You can use Azure Cognitive Search's knowledge mining results and populate your knowledge base of your chatbot.
Box 2: Computer vision -
Box 3: Natural language processing
Natural language processing (NLP) is used for tasks such as sentiment analysis.
Reference:
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural-language-processing
knowledge mining is not chatbot. it's Natural Language Processing.
i think FAQ bots can do knowledge mining on predefined FAQ dataset. https://azure.microsoft.com/en-us/solutions/knowledge-mining/#products
Shouldn't the 1st one be Conversational AI? Altho bots can be built to explore the indexed data from Knowledge Mining.
1. Natural language processing 2. Computer vision 3. Natural language processing https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-image-analysis?tabs=4-0 The Computer Vision Image Analysis service can extract a wide variety of visual features from your images. For example, it can determine whether an image contains adult content, find specific brands or objects, or find human faces.
https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/sentiment-opinion-mining/overview Sentiment analysis and opinion mining are features offered by Azure Cognitive Service for Language, a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. These features help you find out what people think of your brand or topic by mining text for clues about positive or negative sentiment, and can associate them with specific aspects of the text.
Gotten this in Jun 2023 exam.
the first one may be conversational AI?
This is repeat Q of Question #7 and there the answer was Conversational AI for Chatbot though we had the options Knowledge mining and Conversational AI
Answer is correct given Conversational AI is not in Options
crap question delete this
Its conversational AI not Knowledge mining
Answer: NLM, CV, NLM I understand the chatbot question is debatable. A chatbot would use NLM to process and answer user questions about refunds and exchanges. It involves analyzing the text, finding the intent, and creating a response that is correct and related to the question. It would use Knowledge Mining to look through documents, FAQs, and other data sources to find answers to user questions. A possible solution for a chatbot to handle refunds and exchanges would combine both: • NLP to communicate with the user and comprehend their queries • Knowledge Mining to access the relevant information from the company’s rules and data sources to provide correct responses However, if I had to choose one, NLM would typically be the preferable option for several reasons that include: • Immediate Engagement • Customer Satisfaction • Instant Processing • Flexibility
I'd pick the same
caiu no exame do dia 16/06/2023
In my opinion the first answer in not correct. It should be Conversational AI but probably it was missed for a mistake. The less worst is NLP
Same as Question 7. https://www.examtopics.com/discussions/microsoft/view/35221-exam-ai-900-topic-1-question-7-discussion
For me they are corrects!
The answer should be: NLP-CV-NLP Here's the statement from NLP module: "In the following example, a chat bot uses natural language and provides options to a customer to best handle their query." Reference: https://learn.microsoft.com/en-us/training/modules/build-faq-chatbot-qna-maker-azure-bot-service/2-understand-question-answering?ns-enrollment-type=learningpath&ns-enrollment-id=learn.wwl.explore-natural-language-processing
It should be Natural Language Processing
Technically it can be counted as rule-based expert systems falling under knowledge mining, which is the old and legacy way of doing chatbots, but it still counts.
on exam july 2023
Answer is not fully correct. It should be: 1. Generative AI. (Yes, i Know it is nog a given option, read below). 2. Computer Vision. 3. NLP. https://learn.microsoft.com/en-us/training/modules/get-started-ai-fundamentals/6-understand-generative-ai Generative AI applications take in natural language input, and return appropriate responses in a variety of formats including natural language, image, code, and audio. "Generative AI describes a category of capabilities within AI that create original content. People typically interact with generative AI that has been built into chat applications. Generative AI applications take in natural language input, and return appropriate responses in a variety of formats including natural language, image, code, and audio."