Exam AI-102 topic 3 question 7 discussion

The link provided mentions addresses under 'ML Entities with Structure'. Will be hard to identify all possible international addresses with RegEx.

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

machine learned is CORRECT because billing addresses can vary widely in format and content, making it difficult to capture them with predefined patterns or lists. A machine learned entity can be trained on a diverse set of examples to accurately capture and generalize the variations in billing addresses provided by users. Answer is A

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.

For me e GPT 3.5: machine learned

I know you don't know what I'm talking about, but if you think as Crossroads leads you, the answer is A.

OK. Now I use A.

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.

It must be A.

on exam, I selected machine learned

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.

https://learn.microsoft.com/en-us/azure/ai-services/luis/concepts/entities#ml-entity-with-structure

all but literally all answers are deliberately false in here, thanks for having the discussions folks!

it should be A

A. machine learned