Exam AI-900 topic 1 question 209 discussion

Examtopics should not be charging for this exam. It contains too many wrong answers and lots of outdated questions

I agree. Too many confusing answers now.

Regular Expression REGEX

It is definitely REGEX. A common use case of regular expressions is to identify valid e-mail addresses in forms. A list/array is a totally different data structure. A list of numbers, or letters [1, 16, 8, 2, 5] may be unsorted or sorted [1,2,5,8,16] but it obviously lacks the capability to check whether the input value conforms to the format of an e-mail address. Answer is A. B and D are nonsensical options.

The answer is (A) a regular expression. Regular expressions are a powerful tool for matching string patterns. They can be used to recognize specific formats in phone numbers, such as: ^(\d{3})-(\d{3})-(\d{4})$ This regex matches phone numbers that begin with three digits, then a dash, then three digits, and finally four digits.

Entity types: https://learn.microsoft.com/en-us/azure/ai-services/luis/concepts/entities List entity Regex entity Prebuilt entities Pattern.Any entity Machine learned (ML) entity

This is an example of a Regex entity type. Other entity types are List, Pattern.Any and Prebuilt. https://learn.microsoft.com/en-us/azure/ai-services/luis/concepts/entities#regex-entity

too many wrong answers in this AI-900 preparation, like this one

A Reg Ex

A Reg Ex

A. regular expression

Definitely Reg Ex

A is the answer. https://learn.microsoft.com/en-us/azure/cognitive-services/luis/reference-entity-regular-expression?tabs=V2 A regular expression entity extracts an entity based on a regular expression pattern you provide.

IMHO Regular expression is the correct answer. Regular expressions are commonly used to define patterns for identifying phone numbers. By defining a regular expression pattern that matches the format of a phone number, you can effectively extract phone numbers from text using NLP techniques.

Wrong answer - it should be named entity

A. Regular expressions (regex)