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Exam AI-900 All Questions

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Exam AI-900 topic 1 question 25 discussion

Actual exam question from Microsoft's AI-900
Question #: 25
Topic #: 1
[All AI-900 Questions]

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:

Show Suggested Answer Hide Answer
Suggested Answer:
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

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BLUE_BUBBLES
Highly Voted 2 years, 2 months ago
knowledge mining is not chatbot. it's Natural Language Processing.
upvoted 32 times
sassy2023
2 years, 2 months ago
i think FAQ bots can do knowledge mining on predefined FAQ dataset. https://azure.microsoft.com/en-us/solutions/knowledge-mining/#products
upvoted 8 times
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joaquin37
Highly Voted 1 year, 10 months ago
Shouldn't the 1st one be Conversational AI? Altho bots can be built to explore the indexed data from Knowledge Mining.
upvoted 19 times
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Winux
Most Recent 1 day ago
Question 7 and 25 are same question but different answers Response should be : Conversational AI (for chatbot) Computer vision NLP
upvoted 1 times
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koekie
2 weeks ago
The last one should be Anomal detection
upvoted 1 times
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BraveSirRobin
1 month, 1 week ago
I think it should be NLP, CV, NLP
upvoted 3 times
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Hyardima
1 month, 3 weeks ago
Knowledge Mining Data Extraction: Knowledge mining involves extracting useful information from large datasets. While it can be used to build a knowledge base for the chatbot, it is not the primary technology enabling the chatbot to interact with users. Supporting Role: Knowledge mining can support the chatbot by providing a rich database of information from which the chatbot can pull answers. However, the actual interaction and understanding of user queries are driven by NLP. In summary, while knowledge mining can enhance the chatbot’s database, NLP is the core technology
upvoted 1 times
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gen_ai
2 months ago
NLP-CV-NLP
upvoted 5 times
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ptmk
2 months ago
knowledge mining.. Explore the newly indexed data via search, bots, existing business applications, and data visualizations.https://azure.microsoft.com/en-us/solutions/knowledge-mining/#tabxcf52f051b79e4b58b6bac20c2d430f7d
upvoted 1 times
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mary_rad
4 months, 1 week ago
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
upvoted 6 times
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tsummey
5 months ago
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
upvoted 7 times
gina_the_boss
4 months, 3 weeks ago
I'd pick the same
upvoted 2 times
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seaun
8 months, 3 weeks ago
It should be Natural Language Processing
upvoted 3 times
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MackD
9 months, 3 weeks ago
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."
upvoted 1 times
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SethuRam
1 year, 2 months ago
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
upvoted 9 times
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Williehk
1 year, 3 months ago
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.
upvoted 3 times
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AzlearnRB
1 year, 4 months ago
on exam july 2023
upvoted 3 times
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zellck
1 year, 5 months ago
Same as Question 7. https://www.examtopics.com/discussions/microsoft/view/35221-exam-ai-900-topic-1-question-7-discussion
upvoted 3 times
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zellck
1 year, 5 months ago
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.
upvoted 10 times
zellck
1 year, 4 months ago
Gotten this in Jun 2023 exam.
upvoted 3 times
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zellck
1 year, 5 months ago
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.
upvoted 1 times
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CleverTeoh
1 year, 2 months ago
the first one may be conversational AI?
upvoted 2 times
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