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Exam AI-102 topic 3 question 7 discussion

Actual exam question from Microsoft's AI-102
Question #: 7
Topic #: 3
[All AI-102 Questions]

You are building a Conversational Language Understanding model for an e-commerce chatbot. Users can speak or type their billing address when prompted by the chatbot.
You need to construct an entity to capture billing addresses.
Which entity type should you use?

  • A. machine learned
  • B. Regex
  • C. list
  • D. Pattern.any
Show Suggested Answer Hide Answer
Suggested Answer: A 🗳️

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Internal_Koala
Highly Voted 2 years, 3 months ago
Selected Answer: A
The link provided mentions addresses under 'ML Entities with Structure'. Will be hard to identify all possible international addresses with RegEx.
upvoted 19 times
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praticewizards
Highly Voted 2 years, 2 months ago
Selected Answer: A
A - MAchine Learned in documentation https://learn.microsoft.com/en-us/azure/cognitive-services/LUIS/concepts/entities#ml-entity-with-structure - ML Entity with Structure An ML entity can be composed of smaller sub-entities, each of which can have its own properties. For example, an Address entity could have the following structure: Address: 4567 Main Street, NY, 98052, USA Building Number: 4567 Street Name: Main Street State: NY Zip Code: 98052 Country: USA
upvoted 9 times
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mrg998
Most Recent 2 months, 3 weeks ago
Azure bot service no longer part of the exam, no need to revise this topic - https://trainingsupport.microsoft.com/en-us/mcp/forum/all/azure-ai102-chatbots-service/798c0cfa-3475-474e-b4ec-8ab7fc790e81#:~:text=Yes%2C%20Julian%20is%20correct%2C%20based,not%20appear%20in%20the%20exam.
upvoted 1 times
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anto69
5 months, 2 weeks ago
For me e GPT 3.5: machine learned
upvoted 1 times
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reigenchimpo
6 months ago
Selected Answer: A
I know you don't know what I'm talking about, but if you think as Crossroads leads you, the answer is A.
upvoted 1 times
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omankoman
6 months, 2 weeks ago
Selected Answer: A
OK. Now I use A.
upvoted 1 times
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Arun20212021
6 months, 3 weeks ago
As per Gemini chatbot, the answer is B. Regex. The following is the explanation it gives: Regex offers a powerful and efficient way to define patterns for capturing specific text formats, making it ideal for structured data like billing addresses. You can design a regex pattern to capture elements like street address, city, state, zip code, and potentially country code. ; and why the answer is not 'machine learned': While machine learning can be powerful for complex entity recognition, it might be overkill for a well-defined structure like billing addresses. Training a machine learning model could be time-consuming and resource-intensive compared to a simpler solution.
upvoted 1 times
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nanaw770
6 months, 3 weeks ago
Selected Answer: A
It must be A.
upvoted 1 times
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funny_penguin
6 months, 3 weeks ago
Selected Answer: A
on exam, I selected machine learned
upvoted 2 times
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Mehe323
8 months, 2 weeks ago
Selected Answer: A
Regex would be a good solution if the addresses were in a specific area (e.g, USA). But since that information is not given, you have to assume any type of address. So the correct answer in this case is A.
upvoted 4 times
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rdemontis
1 year, 1 month ago
Selected Answer: A
https://learn.microsoft.com/en-us/azure/ai-services/luis/concepts/entities#ml-entity-with-structure
upvoted 2 times
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[Removed]
1 year, 4 months ago
all but literally all answers are deliberately false in here, thanks for having the discussions folks!
upvoted 4 times
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Richi0907
2 years, 2 months ago
Selected Answer: A
it should be A
upvoted 2 times
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Sharks82
2 years, 3 months ago
A. machine learned
upvoted 2 times
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C (25%)
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