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Microsoft AI-900 Exam - Topic 4 Question 48 Discussion

Which type of natural language processing (NLP) entity is used to identify a phone number?
C) list
A) regular expression
B) machine-learned
D) Pattern-any

Microsoft AI-900 Exam - Topic 4 Question 48 Discussion

Actual exam question for Microsoft's AI-900 exam
Question #: 48
Topic #: 4
[All AI-900 Questions]

Which type of natural language processing (NLP) entity is used to identify a phone number?

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Suggested Answer: C

by Lucina at Jul 05, 2023, 10:53 PM

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Isabelle
6 months ago
Pattern-any? Never heard of that one for phone numbers.
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Rozella
7 months ago
A list could work, but regex is way more efficient.
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Jeannetta
7 months ago
Wait, are you sure? I thought machine learning could do that too.
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Daron
7 months ago
I agree, regex is the go-to for phone numbers.
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Myra
7 months ago
It's definitely a regular expression!
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Juliana
8 months ago
I don't recall seeing "Pattern-any" in our materials, so I’m not sure about that option. Regular expressions seem the most straightforward to me.
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Lisbeth
8 months ago
I’m leaning towards regular expressions too, but I wonder if there are other methods that could work.
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Verlene
8 months ago
I remember practicing with similar questions, and I feel like machine learning could also be involved, but it seems less direct for this case.
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Stephaine
8 months ago
I think phone numbers are usually identified using regular expressions, but I'm not completely sure.
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Jolene
8 months ago
Okay, I've got this. Based on the bean definitions, it looks like the MsgHandler class will be injected into the messageHandler variable.
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Rueben
8 months ago
I'm a bit confused on how to approach this. Do we need to factor in the credit balance and the SMA? I'm not sure which formula to use, so I'm going to have to think this through carefully.
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Chaya
8 months ago
I've seen this type of question before. I'm confident I can select the two correct answers.
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