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NEW QUESTION # 36
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 37
You use natural language processing to process text from a Microsoft news story. You receive the output shown in the following table.
Which type of natural language processing was performed?
Answer: D
Explanation:
The output identifies text values and labels them with entity categories, such as:
now [DateTime]
students [PersonType]
Microsoft [Organization]
175 [Quantity-Number]
Today [DateTime-Date]
This is entity recognition , also known as Named Entity Recognition (NER) . NER identifies and categorizes entities in unstructured text, such as people, organizations, locations, dates, quantities, numbers, and other named or structured values.
Why the other options are incorrect:
B). translation would convert text from one language to another.
C). key phrase extraction would return important phrases or main topics, not categorized entity labels.
D). sentiment analysis would return sentiment such as positive, negative, neutral, or mixed.
NEW QUESTION # 38
Which statement is an example oi a Microsoft responsible Al principle?
Answer: A
Explanation:
"AI systems must be understandable" is an example of the Microsoft responsible AI principle of transparency
. Microsoft's responsible AI framework includes fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability.
The other options are incorrect: AI systems should not merely protect company interests, should not be limited only to public data, and must not keep personal details public.
NEW QUESTION # 39
You are building a chatbot that will use natural language processing (NLP) to perform the following actions based on the text input of a user:
* Accept customer orders
* Retrieve support documents
* Retrieve order status updates.
Which type of NLP should you use?
Answer: D
Explanation:
The chatbot must interpret user intent and route actions such as accepting orders, retrieving support documents, and retrieving order status. This is language understanding , because the system must understand what the user wants to do from natural language input.
NEW QUESTION # 40
You are creating an app to help employees write emails and reports based on user prompts.
What should you use?
Answer: B
Explanation:
Azure OpenAI Service can generate text based on user prompts. It leverages GPT (Generative Pre-trained Transformer) models that are trained to understand and generate human-like text.
Users interact with these models by providing a prompt, and the model attempts to produce the most likely continuation or completion of that text.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/models
NEW QUESTION # 41
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You get a specific amount of time per day to study, you have a job, need to go to the office daily, and take time to relax from the hectic work schedule. So, planning a long study schedule is not possible. Some people study while traveling to the office, some prefer to check the office breaks and some even take it to late-night study especially when they are left with little time to prepare Microsoft Azure AI Fundamentals AI-901 for certification exam. For this reason, we want to make your journey smooth by providing you with smart tips to make the most out of your Microsoft Azure AI Fundamentals AI-901 study material for the Microsoft Azure AI Fundamentals AI-901 certification programs and clear it in one go.
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